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govindhtech · 10 months ago

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IBM Engineering Systems Design Rhapsody 10.0.1 Declaration

Rational Rhapsody 10.0.1

Design of IBM Engineering Systems Strong model-based systems engineering (MBSE) tools like Rhapsody make it easier to design, analyze, and validate complex systems and create software based on those models. The complete product development lifecycle, including specification, development, testing, and delivery, is easily integrated into Rhapsody thanks to its strong support for the unified modeling language (UML) and systems modeling language (SysML).

IBM Engineering Systems Design Rhapsody

Deliver software and systems of higher quality more quickly with digital threading across domains, production code generation, smooth simulation, and reliable modeling.

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What services does Rhapsody offer?

With its suite of tools, IBM Engineering Systems Design Rhapsody (formerly known as Rational Rhapsody) provides a tried-and-true method for modeling and systems design tasks, enabling you to handle the complexity that many organizations encounter while developing new products and systems. Rhapsody is a component of the IBM Engineering portfolio, offering systems engineers a collaborative design, development, and testing environment that supports AUTOSAR import and export capabilities along with UML, SysML, and UAF. Furthermore, the solution speeds up industry standards like ISO 26262, DO-178, DO-178B/C, and UPDM and permits control of defense frameworks like DoDAF, MODAF, and UPDM.

Advantages

Provides ongoing validation

Utilize quick simulation, prototyping, and execution to get ongoing validation and address mistakes early on, when they can be fixed more affordably.

Offers automated consistency verification

Employ collaborative reuse and automatic consistency checking to boost agility and lower recurring and non-recurring expenses.

Work together with your engineering group

With the use of design tools like Mathworks Simulink or Engineering Systems Design Rhapsody, you can share, work with, and evaluate your engineering lifecycle artifacts with the larger engineering team.

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Usability

Simplify the design process with a cutting-edge UX that lets you customize the tool interface to your own requirements and tastes, making model visualization simpler.

Crucial characteristics of IBM Rhapsody goods

Examine and clarify the project’s needs

System specifications, interface design papers, and system test cases are automatically generated by the software using SysML, UML, UAF, and AUTOSAR import and export capabilities.

Go from design to implementation quickly

With the use of UML, it provides an affordable comprehensive software engineering environment for graphically designing C++, C, or Java applications.

Create documentation and automate design reviews

Using a central repository accessible via the web, Rhapsody – Model Manager facilitates cross-disciplinary team collaboration, sharing, review, and management of designs and models. Customers and suppliers can use a web client to access information. The program streamlines stakeholder communication, expedites decision-making, and enhances quality by automating design evaluations. Comprehensive documentation can be produced for reporting, compliance, communication, and specifications.

Develop, model, and implement designs for early verification

In addition to having all the features of Rhapsody Architect for Systems Engineers, Rhapsody – Designer for Systems Engineers enables you to simulate, prototype, and carry out designs for early requirements, architecture, and behavior validation. This is a model-based system engineering (MBSE) environment that makes use of the widely used SysML and UML frameworks. With enhanced validation and simulation, it shortens time-to-market, increases productivity, and helps you adjust to changing client requirements.

Engage in an agile engineering environment that is embedded and real-time

Agile software engineering environment for C++, C, Java, and Ada that is embedded and real-time (includes MISRA-C and MISRA-C++) is provided by Rhapsody – Developer. Along with the features of IBM Engineering Systems Design Rhapsody (Rational Rhapsody) – Architect for Software, it offers fast prototyping and simulation for design-level debugging, automated build generation for continuous integration, and support for safety-critical software lifecycle issues.

Allow for the smooth integration of the AUTOSAR standard. The AUTOSAR Extension is a part of IBM Rhapsody Model-Driven Development (MDD). This potent combination streamlines and expedites the process of developing automotive software, freeing up developers to concentrate on building reliable and effective solutions that satisfy the stringent demands of the modern industry.

Rhapsody 10.0.1

IBM is pleased to announce the introduction of IBM Engineering Systems Design Rhapsody version 10.0.1, which includes several new features and changes aimed at optimizing usability, automation, and integration.

Improved DOORS 9 integration promotes consistency and productivity

Rhapsody 10.0.1 enhances accuracy, traceability, and smoother operations by providing closer connection with the IBM Requirements Management DOORS system.

The new ReqXChanger interaction with DOORS 9 is crucial to this release. With better requirement visualization and traceability straight within Rhapsody, ReqXChanger replaces the Rhapsody Gateway and enables a more efficient workflow between Rhapsody and DOORS.

With seamless movement across the digital thread connecting DOORS and Rhapsody, users can now access and inspect model diagrams and elements in DOORS 9. The transition to the improved functionality is easy and seamless.

Change-aware synchronization maintains requirements and model in sync between Rhapsody 10.0.1 and DOORS 9, reducing effort and complexity in tracking changes in artifacts. To fit the unique requirements and surroundings of the users, this synchronization can be automated and tailored.

Extending IBM collaboration with Siemens to improve systems design through automation and integration

IBM has one major enhancement in this release as part of our continued collaboration between the Siemens and IBM product teams. By combining several components, this improvement aims to strengthen the digital thread and promote visibility, traceability, and interoperability.

Now, you may establish connections between Siemens Teamcenter specifications and parameters and model elements: To correlate Teamcenter requirements and parameters with model elements, choose them in the Rhapsody UI. Request the enabling plug-ins by contacting Siemens.

Significant improvements to workflows, usability, and testing

Better testing and usability are more important as system design complexity and interconnection increase. To address this difficulty, Rhapsody 10.0.1 has added new features and improved Test Conductor, such as increased test case coverage that offers a thorough rundown of all test cases. By transferring message-related test scenarios across multiple architectures, a technical preview of Message Mapper further streamlines scenario mapping.

Additional parallel development prompts improve design process efficiency by warning users when they are working with out-of-date model versions, streamlining merge operations, and fostering better teamwork. The product interface has been improved, allowing for more menu controls, such as toolbar and pop-up menu items, to enable complex customisation.

Rhapsody 10.0.1’s enhancements to the Rhapsody AUTOSAR Extension aid teams in managing challenging projects and increasing output. The installation package includes updated example models that are useful for understanding and implementing AUTOSAR standards.

Try out Rhapsody 10.0.1, IBM Engineering Systems Design, right now

Rhapsody 10.0.1 keeps up its good work as a top MBSE tool by providing enhanced automation, usability, and integration to facilitate the design and implementation of complex systems. Additionally, it advances the cooperation between IBM and Siemens Digital Industries Software in their quest to develop strong system engineering tools that empower businesses to design, develop, and produce high-performing, environmentally friendly products.

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#IBMEngineeringSystems #SysM #design #IBMproduct #DesignRhapsody1001Declaration #featuresofIBM #systemdesign #automation #workflows #productivity #IBMcollaboration #ImprovedDOORS9 #ibm #technology #technews #news #govindhtech

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tatatechnologies · 2 years ago

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PLM Technologies in Electric Vehicles — EVMechanica

PLM encompasses a complete journey of the product from managing requirements to supporting product services.

Electric Vehicles (EVs) are not new to the industry but their rapid growth in the recent past is redefining the transportation industry of the future. EV focuses on delivering user experience and not just addressing the core needs of transportation.

Hence the complexity to manage the requirements of EVs is completely different from how conventional automotive vehicles were managed and delivered. This rapid growth is fueled by the adoption of various digital technologies by organizations that build them so that they can connect the bridge between what end users want, to what technology can do.

Product Lifecycle Management (PLM) is one of the primary systems that manages product data and authors it for further consumption across the enterprise. While PLM is a tool that manages product data across its lifecycle, it is the business processes that are implemented in them that determine how the cost, quality, and time to market the product is well managed. Inefficient business process slows down product realization. Early adopters of PLM used this as a system to manage and release the Computed Aided Design (CAD) data through a structured design Bill of Materials (BOM) authored by the engineering team. In today’s world, PLM encompasses a complete journey of the product from managing requirements to supporting product services.

The first challenge that the EV industry faces is more around the need to collaborate between Mechanical, Electrical, Electronics, and Software components which need to coexist and must be engineered simultaneously. The second challenge that they face is the ability to bring new EVs into the market at an accelerated pace to reduce New Product Introduction (NPI) timelines which require the engineering and manufacturing teams to work concurrently. The third challenge is more in terms of establishing end-to-end traceability between different systems and enhancing the reusability of systems, sub-systems, and components. To solve the above problems, EV OEMs implement a digital backbone that addresses the concerns with short-term and long-term objectives. While Product Lifecycle Management creates a foundation to solve these problems, what is really needed is a digital transformation with PLM at the core.

Digital transformations focus on four major pillars namely People, Processes, Data, and Technology. Business processes at its core is what differentiates an organization from another in terms of the adoption of tools and technology. To shift gears, an organization needs to review its business processes and make changes as required to address the needs of an electric vehicle. As part of the digital strategy, a well-defined blueprint is created to understand their current IT landscape, current processes, gaps in the processes, areas of improvement, target state architecture, and more importantly a roadmap that leads them to their final goal.

The EV industry focuses on leveraging PLM by making it a single source of all engineering and Manufacturing Engineering data. A One PLM strategy is typically taken as a quick-start approach to ensure that data gets authored once and consumed across the enterprise. All product requirements are managed centrally and then cascaded to individual disciplines for further decomposition before jumping into the detailed physical design of components. EV focuses on building the right systems that address these requirements. A Model Based Systems Engineering (MBSE) approach is taken to define Functional and Logical models before getting into physical designing. This approach helps EV organizations to reuse systems across multiple platforms. This approach not only consumes the design data but also all associated test and validation reports managed in PLM, thereby, establishing traceability.

EV carries software binaries that run into Giga Bytes, which typically is the brain behind the vehicle. These software packages need to be managed in the context of the EV as a product hence there is a strong link that needs to be built between PLM, which manages the Mechanical, Electrical and Electronic data, to Application Lifecycle Management (ALM) which manages the software development. The digital maturity of software development and release processes is much higher than product development, so EV organizations do not focus on bringing them into one system but develop an integration between PLM and ALM so that software is managed as an object in PLM and the requirements are tagged to the software binaries to establish traceability. It is important to manage this traceability as the industry today is facing a challenge in managing the hardware-to-software interoperability matrix. The integration we are referring to is not just tool integration, but process integration like Change Management, Release Management, etc. The complexity of Hardware-to-Software continues to increase and to mitigate this, EV organizations focus on building the required processes and toolchain that adheres to an industry framework, namely, Automotive Software Process Improvement Capability determination (ASPICE).

From the concept car shown to customers in auto shows to building pre-production of the vehicle, EV organizations are always running behind time, to bring the product faster to market, thus requiring multiple departments to work together on the product. Be it Engineering teams creating the Engineering Bill of Materials (EBOM), Procurement teams working with suppliers for long lead items, Vehicle integration teams performing Digital Mockups (DMUs), Engineering teams working with global design centers to co-design, Manufacturing Engineering teams to perform manufacturing simulations and create Manufacturing Bill of Materials (MBOM) and Bill of Process (BOP). The challenge is that underlying data is changing continuously based on the feedback received, and to address this challenge PLM implements various processes that are tightly integrated and EV industries implement the following modules, namely, Requirements Management, CAD Data Management, BOM Management, Change Management, Variants, and Configuration Management, Issue Management, Document Management, Visualization Management, Compliance Management, Supplier Management.

To have the entire organization consume the data it is essential that PLM provide the required integrations to downstream applications. EV focuses on three major enterprise systems which are their lifeline for them. The industry calls them ‘The Holy Trinity’ and they comprise of PLM, ERP, and MES which need to be communicated efficiently for the enterprise to bring the product dream to reality. A fourth element is being included these days, which is ALM, and, given the value, the software brings to an EV, organizations focus not just on integrating these IT systems, but more on the process integrations so that value of data is realized. It also helps in close-loop communication for efficient impact analysis leading to effective change management at the enterprise level. The establishment of Digital Thread is essential for an organization to leverage the data and drive a continuous feedback cycle. This also enables upstream applications to create and validate data that will be consumed by downstream applications in a useful manner.

EV organizations also enable a data analytics layer to pull data from the ‘Holy Trinity’ and beyond, so that meaningful information can be derived which also provides the organization an opportunity to analyze data on a real-time basis. Business Information (BI) dashboards are created for a quick overview of status through slices of data and quick decisions can be made to make any course corrections to the program.

EV organization typically has a DNA that is fast-paced, new age EV OEMs carry very few legacy applications and hence can carve out new ways of working, to manage enterprise applications like PLM. IT infrastructure is a critical element but is considered overhead, and to overcome this, EV organizations are adopting a cloud strategy. Thanks to the new technology evolution in security, data protection, and connectivity, PLM and ERP cloud adoption is picking up pace and more organizations are embracing cloud strategy. These organizations have also changed their way of working to follow a more agile way of development and DevOps practices to launch new functionality to end users periodically.

PLM also contributes to measuring the organization’s contribution to sustainability and climate change by helping them with data points to measure the organization’s total environmental impact, including but not limited to, source and procurement of raw materials, translation of raw materials to product production, delivery, consumer use, and disposal of the EV by the consumer in near future. These system-driven measures will help an organization take proactive action on product reusability, and limit carbon emissions where needed, thus contributing to a better future for the civilization.

In summary, EVs today are fully leveraging digital tools and technologies like PLM so that vehicle design, vehicle engineering, vehicle manufacturing, and testing are completely validated in the digital world before bringing it to the physical world. This helps them in transforming their vision into reality in a time-bound manner. EVs continue to raise the bar in the adoption of PLM and leverage the implementation partners to bring in the best in class to implement and manage their PLM systems. In the coming years, as the adoption of EVs as a transportation solution to a greener world is increasing, we are going to see the scope of PLM increase and play a larger part in reducing the design and manufacturing complexity by integrating people, processes, and data in an efficient way.

About the Author:

Anand Ananthanarayanan, VP & Global Delivery Head for PLM, Tata Technologies. Engineering Automation Enthusiast, with a determination to bring in new technology solutions to automate engineering and manufacturing principles across the product development lifecycle.

Originally published at https://www.tatatechnologies.com on January 4, 2023.

#tata technologies #automotive #engineering #electric vehicles #PLM Technologies

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marketerefforts · 3 years ago

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Systems Engineering & MBSE Tool Market Report Till 2028 | Latest Trend, Growth Opportunities & Forecast Analysis

The study on Systems Engineering & MBSE Tool Market with its type and application sales analysis is very essential for all the decision-makers or strategists operating in this industry. The report is made by analysts with deep industry knowledge and experience. The global, regional, and country annual sales and revenue has been studied for the historical years and estimated for the current year. With the help of analytical tools, primary interviews, and data triangulation the report is enriched with quality data. The qualitative data on the upcoming industry trends with market triggers and risks are covered as a separate section in this comprehensive report.

As understood and analyzed in the global Systems Engineering & MBSE Tool market report the growth CAGR in the year 2022 to 2028 is showing a promising inclination. The macro and microeconomic conditions are studied and forecast data is anticipated.

Click here to get a FREE Sample PDF Copy of the Systems Engineering & MBSE Tool Market Research Report @ https://www.decisiondatabases.com/contact/download-sample-58762

As per this report analysis, the Systems Engineering & MBSE Tool market is expected to show a CAGR (revenue) of xx% between the forecast years and the global market size can cross USD XX million by the end of 2028, growing from USD XX million in the year 2022. This report specifically covers the global market share (sales as well as revenue) of key companies in the Systems Engineering & MBSE Tool business, as mentioned in a separate Chapter 3.

Regionally, the Systems Engineering & MBSE Tool market data is studied under the below-mentioned regions and countries – Americas covering (United States, Canada, Mexico, Brazil), APAC covering (China, Japan, Korea, Southeast Asia, India, Australia), Europe covering (Germany, France, UK, Italy, Russia, Spain), Middle East & Africa covering (Egypt, South Africa, Israel, Turkey, and other GCC Countries).

This research study gives a comprehensive overview of market share and growth opportunities of the Systems Engineering & MBSE Tool market as per type and application. The report also covers key manufacturers’ profiles with sales and gross margin data.

The key manufacturers covered in this report: Breakdown data in Chapter 3.

LabVIEW

Studio 5000

AMESim

SystemLink

Enterprise Architect

Genesys

Wolfram SystemModeler

Cameo Systems Modeler

Altair Model-Based Development Suite

Cradle

Innoslate

20-sim

Ansys SCADE Architect

AVSnap

Capella

CORE

FlexLogger

Others

To inquire about report customization, feel free to reach out to our team of expert analysts @ https://www.decisiondatabases.com/contact/ask-questions-58762

This study considers the Systems Engineering & MBSE Tool value and volume generated from the sales of the following segments:

Segmentation by type: breakdown data from 2017 to 2022, in Section 2.3; and forecast to 2028 in section 11.7.

All in One

Standalone

Segmentation by application: breakdown data from 2017 to 2022, in Section 2.4; and forecast to 2028 in section 11.8.

Small and Micro Enterprises

Medium-Sized Enterprise

Large Enterprise

The latest developments of the industry and the sales channel, manufacturing process along with the manufacturing cost study is covered in the report.

Key Questions Answered –

What will be the Systems Engineering & MBSE Tool market CAGR and size between 2022-2028?

Who are the top/leading players of the Systems Engineering & MBSE Tool market?

What changes are expected in the Systems Engineering & MBSE Tool market in the next six years?

Which are the top product and leading applications of the Systems Engineering & MBSE Tool market?

What are the leading market drivers and major risks factors for the Systems Engineering & MBSE Tool market?

Which region/country leads and foresees highest growth in the next six years?

Purchase the Complete Global Systems Engineering & MBSE Tool Market Research Report @ https://www.decisiondatabases.com/contact/buy-now-58762

About Us:

DecisionDatabases.com is a global business research report provider, enriching decision makers and strategists with qualitative statistics. DecisionDatabases.com is proficient in providing syndicated research reports, customized research reports, company profiles, and industry databases across multiple domains. Our expert research analysts have been trained to map clients’ research requirements to the correct research resource leading to a distinctive edge over its competitors. We provide intellectual, precise, and meaningful data at a lightning speed.

For more details: DecisionDatabases.com E-Mail: [email protected] Phone: +91-93077-28237 Website || Official Blog || Insights Analysis

#Systems Engineering & MBSE Tool #Systems Engineering & MBSE Tool Market #Systems Engineering & MBSE Tool Industry

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nectarpdblr · 5 years ago

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Medical Device Product Development: A New Modernization in Healthcare Industry

Medical device product development is highly challenging because of one fundamental reason and that is the human body. The variation in human body makes it highly difficult to create devices such as arterial stents, monitoring devices and even insulin delivery devices that can be safely used on a 14-year-old child to an 80-year-old adult. This is highly deceptive and tedious as you need to be 100% sure about the effectiveness on all types of human body.

The recent pandemic has made situation grimmer and worrisome. Medical device development process is now evolving since most of the work routines are changing the way process is being carried out. As per the modernization rolled out by FDA software and hardware modernization is must and medical device manufacturers must make a choice to integrate digital platforms designed to accelerate product development.

Medical device product development companies must know the importance of these below points for accelerating their product innovation as a new ‘normal’.

Keep your data in one place

With your development team and staff spread in different locations it is vital to assemble your data at one place that is digitally available to everyone in the team and can be accessed without compromising the security of the system. Cloud based platforms can help deliver significant productivity boost by ensuring all the information related to your product is stored on single, centralized and secure environment.

Need for robust data platforms

Medical device development process can be tricky and incredibly complex. They require hardware, software and cloud base connectivity to work seamlessly to deliver a desirable output. Leading medical device product development firms have now started to embrace model-based system engineering (MBSE) which uses robust 2D and 3D models as reference with the ability to deliver complex, multi-dimensional product information at every phase of development process.

Use of simulation to fasten the process

Human body possesses infinite variety of compositions and conditions, so simulation is a powerful tool for medical device product development firms to develop products that can safely accommodate widest range of users, patients and applications. Simulation reduces development costs along with

the time to market the product as compared to physical testing or orthodox ways of product testing.

#Medical device development process

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aliciabuncle · 5 years ago

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The Engineers Never Stopped Working

This isn’t the first time a massive sea change has forced us to suddenly change the way we live and work, and it won’t be the last. It’s during these times that engineering teams provide the great breakthroughs that will take us through the next evolution of business and operations.

As we all work to define what the ‘new normal’ looks like, we expect to see continued disruption across industries and marketplaces. Companies will lean on their engineering and development teams to stretch their limits of creativity and productivity. Now more than ever, tools for product design and development require an end-to-end view across the entire engineering lifecycle.

Throughout our recent IBM Engineering European Academy, we heard repeatedly from customers and business partners that while some of their operations were forced to halt, their engineering teams continued to work. There was a clear theme – engineering teams have been and will continue to lead business through recovery. And success will be directly related to these teams’ ability to respond and adapt, quickly and efficiently.

Over the last several months IBM has continued work on modernizing its Engineering Lifecycle Management (ELM) solution. The introduction of IBM ELM V7.0.1 represents evolution of our entire systems and software development lifecycle offering.

https://admin.blogs.prd.ibm.event.ibm.com/blogs/internet-of-things/wp-content/uploads/2020/11/03_ENGINEERING_CUTDOWN_ANTHEM_CAPTIONS.mp4

Continuous Improvements for the ELM Products

The ELM V7.0.1 updates represent the ongoing work to roll out improvements across the entire engineering lifecycle management solution – across requirements, test, workflow management and systems design. Our focus has been on improving usability, productivity, and building capabilities that integrate with industry models and standards.

As we emerge from hibernation, the demand for first-to-market competitive advantage will force systems and software development teams to step up to the challenge – increasing productivity while still improving quality and accelerating time to market.

The latest enhancements in the ELM portfolio include improved Agile capabilities, simplifying model-based systems engineering (MBSE) usage, expanded industry standard capabilities (i.e. AUTOSAR enhancements, SAFe 5.0 inclusion, GIT integration, ASPICE capability expansion), broader capabilities around validation & verification (V&V), improved visualization of data, and overall performance.

Delivering an integrated, end-to-end development lifecycle solution enables engineering teams to focus on product development – not searching for data, converting or migrating information, manually tracing between requirements, tests, workflow, or continually validating data currency.

What’s next for ELM?

We’ll keep listening to our customers, industry groups, and the marketplace – working together to deliver continuous improvements to our products. IBM is committed to ensuring systems and software development teams are equipped with the tools they need to develop products in a smarter, safer and more cost-effective way.

Albeit the near-term future is still unclear, it is certain that engineering and development teams will be even more critical as companies pivot to new markets, products, and strategies. And we’ll keep helping our customers manage the growing complexity of product engineering with the speed necessary to deliver faster business outcomes.

The post The Engineers Never Stopped Working appeared first on Business Operations.

The Engineers Never Stopped Working published first on https://decalsgraphicstore.tumblr.com/

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cooldavidkentposts · 6 years ago

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Firming up the business case for wind-plus-storage solutions

The Clean Energy Council’s Clean Energy Australia Report 2018 highlighted that wind power accounted for 7.1% of Australia’s total electricity generation and 33.5% of its total renewable energy generation. As more and more large-scale energy projects are set up, the requirements for establishing a wind farm are no longer as simple as ‘build in a windy location and connect to the grid’.

Developers’ business cases need to consider a large number of interrelated and interdependent factors, beyond simply the local weather conditions. These factors are constantly shifting and evolving and range from complex and changing policies and regulations to asset considerations such as firming options and generator performance standards, financial issues such as investment justification and energy market participation, and environmental concerns taking into account local communities and ecosystems, to name just a few.

Perhaps one of the most complex challenges facing wind farm developers is in their consideration of firming options.

What is wind firming?

There are challenges to delivering electricity from wind generating as its variable and intermittent supply may not correlate with demand. These changes in output make it more difficult to manage the power system and transmission networks, and challenge the economic viability of the developments themselves.

Firming uses an additional energy source or storage to provide a backup for the intermittent generation of wind. Firm capacity is the capacity from these sources and/or storage, which will be guaranteed to be available when needed.

Firming can help wind power companies to address the inherent challenges of intermittent generation, to meet fast frequency response requirements and to manage the risks associated with exposure to ‘causer pays’ — whereby the party causing generation and frequency loads deviation is responsible for the resulting costs. By ensuring firm capacity, renewable generation companies can remain viable in a competitive generation sector.

Considering firming options

Firming options can include economic and contractual as well as physical options. AGL Energy’s Wind Product Firming Unit (WPFU), an example of a derivative product, allows wind generators to enter into forward swap contracts with them, to guarantee supply in the future when wind assets are generating less energy than forecast. Other capacity firming solutions are physical: for example, geographically distributed wind farms, wind plus solar or wind plus battery/storage. These firming options deliver benefits to both network operators and wind power generators. The networks gain certainty that power will be available when it is needed, while operators can capitalise on increased and more reliable income.

Whilst firming helps address the challenge of intermittent wind, it introduces its own complexities. Developers will need to consider which capacity firming option best suits their needs. Economically, they will need to examine firming costs, and the selected option will change — potentially raising the true cost of their wind projects. In trading terms, wind farms need to identify how valuable their megawatts are, and the best time and price to bid their capacity and charge/discharge their storage systems. Whether considering firming options and costs, the technical complexities or the economics of generating revenue, it’s essential that all the interwoven issues are assessed. So how do we manage these complexities to present a sound business case for wind projects?

Managing complexities using systems engineering

Systems engineering is an interdisciplinary approach that can be used to manage the complexities of modern-day wind projects, helping to enable the successful realisation of complex systems. In practice, the systems engineering approach follows the processes shown in the V-diagram in Figure 1: definition of the organisation’s goals, objectives and operational needs; deriving and analysing the requirements to meet these needs; and system design as per the defined requirements. The system is developed and integrated as documented in the design; testing and evaluation takes place to demonstrate requirements have been met; then the delivery of the system that meets its intended purpose. The systems engineering approach can be repeated throughout the operation and maintenance phase for the life of the system.

Figure 1: The systems engineering V-diagram.

In the context of a renewable project, the systems engineering approach begins by capturing the developer’s operational needs, goals and objectives. Of course, each wind system developer has different goals, which will influence the way they intend to operate their system. For wind firming, this might be to demonstrate the benefits of co-locating wind and solar, showing proof of concept that the complementary resources are optimised; or they may wish to use battery storage to firm their wind supply, allowing them to enter into energy supply contracts or to ‘time shift’ their output, capitalising on price fluctuations. Establishing these goals and objectives is essential, as they drive how the system is to be structured and crystallise the requirements that need to be met.

Once the organisational goals have been identified, the next phase of the systems engineering approach is to define the requirements and system specifications needed to achieve the identified goals. Requirements definition and analysis can be difficult for a complex system that has many interrelationships and interdependencies. Picturing the overall system of systems often helps with the requirements definition phase.

Picturing the system

Systems engineering offers an excellent approach to structuring the requirements definition, system design, integration, testing and delivery processes, but it can often be hard for users to picture a complex system in its entirety and be sure that all interrelationships and interfaces between the systems and subsystems have been covered. At Frazer-Nash, we use a tool which allows an approach known as model-based systems engineering (MBSE), which enables us to present the structure and behaviour of a system visually, capturing and describing its interrelationships and interdependencies in a logical way, organising the logic of the organisational structure and business processes and facilitating the flow of information.

For example, at the development stage of a wind farm, developers will have a number of concerns, including regulatory compliance, governmental and council approvals, financial approvals, technical design, physical construction, revenue modelling and contract set-up. In the operational phase, the elements that owners and operators need to consider evolve — from the challenges of ongoing operations and maintenance to asset management, in-service updates, continued revenue generation, and ultimately decommissioning and disposal. MBSE can be used to define all of these complex functions, organisations, systems, drivers, business processes and requirements, and can illustrate how these elements interact with one another. It enables wind developers to view their systems architecture at increasing levels of detail. A functional layer (Figure 2) can show primary functions, organisations and their interrelationships; a systems layer can detail the systems used to realise organisational goals and the required information and data interactions; and a business process layer (Figure 3) can show the depth of detail of critical business processes, considering roles, systems and key decision points.

Figure 2: High-level functional/organisational layer of a wind farm project. For a larger image, click here.

Figure 3: Business process layer for bid supervision and submission function.

Delivering power to the wind sector

For wind energy companies, there is power in understanding the level of detail presented in system architectures down to the level of detail in critical business process definition. Requirements naturally fall out of business processes, and these requirements are essential for specifying the system and interfaces to be developed or procured, as well as for detailing the roles, organisations, facilities, processes and procedures that are required. In addition, this detailed definition enables work packages to be planned, contract requirements to be written and core system elements to be identified, and helps support workforce planning.

These requirements can be carried forward through the life of the project, allowing in-service changes to be undertaken more easily. With the overall ‘system of systems’ defined, even if a new asset needs to be added or new systems procured after some years, a systems engineering approach and MBSE can deliver understanding of the requirements for change and the impacts of change on the overall system.

So what does all of this mean to new and existing renewables projects? It means that a systems engineering approach is a valuable tool that can help you keep pace and make sure your organisation has the right strategies to meet the challenges of a rapidly evolving energy world, where more and more responsibilities are being placed on owner/operators.

*Sindhu Shankar is an experienced systems engineer who has recently transitioned to the energy and resources sector, having worked in the Australian defence aviation industry for over nine years. In Frazer-Nash Consultancy’s Systems Safety and Assurance Group, Sindhu has successfully applied her strong systems engineering skills to new clean energy development projects, focusing on the integration of battery technology into the National Energy Market (NEM).

Sindhu has led the technical development of a system architecture illustrating the functional structure and interrelationships of a battery asset within the broader Australian energy sector environment, and requirements to define market participation processes, as well as operations and maintenance activities.

Image credit: ©stock.adobe.com/au/malp

source http://sustainabilitymatters.net.au/content/energy/article/firming-up-the-business-case-for-wind-plus-storage-solutions-1004569991

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aliciabuncle · 5 years ago

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Adopting Engineering Lifecycle Management Tools to Combat Market Uncertainty

It is an understatement to say we find ourselves in unprecedented times, challenging our health, our economy, and our work environments as never before. We have been listening to our clients to better understand their needs and where IBM can help. We are hearing you ask for advice on how to manage teams and product development in this ‘new normal’. On the heels the scalability enhancements recently announced, here’s how I think we can help.

As leaders and employees, there are lots of questions we must answer. How do we take care of the immediate needs of our people? How can we improve collaboration with our teams to help our employees remain engaged? How do we keep our businesses moving forward? These challenges are forcing all of us to take a hard look at our product engineering processes and transform them to ensure our processes and tools can truly enable remote working, global collaboration while maintaining visibility, traceability and confidence that our teams will deliver what’s required with high quality.

IBM Engineering has been here, providing an end-to-end approach to product engineering that can scale to manage the challenge of rising complexity and constant change.

IBM Engineering Lifecycle Management (ELM) provides the foundation for an end-to-end approach across the entire systems and software development process. You can optimize communication and collaboration between remote teams, which ensures everyone remains aligned on work tasks, reducing confusion and missteps throughout your product development. Whether you have a team of 10 or 10,000 people spread across the world, ELM solutions can help you improve decision making across the entire engineering lifecycle.

Here’s what you can do today

With your engineering teams working from home you need to focus on communication and collaboration. The IBM Engineering Workflow Management (EWM) product enables engineers to create and track progress across work items according to your team’s agile, SAFe, or custom processes. With customizable portals, report automation and real-time dashboards, EWM can help teams access the data they need, regardless of where they’re based.

Keeping remote workers in sync is much easier when leveraging a robust requirements management process. Whether you rely on document requirements or model-based requirements, IBM provides leading products for both. The IBM Engineering Requirements Manage DOORS Next product with AI to evaluate requirements provides a single, intelligent source of truth that enables global collaboration. Teams get full visibility and traceability between individual requirements to test cases, as well as supporting version and variant management. IBM Engineering Systems Design Rhapsody provides a proven MBSE solution for modeling, simulation and prototyping, keeping engineers aligned to design objectives.

Reduce confusion, overlap and missteps by providing traceability and visibility across the entire development process – from requirements through testing. The IBM Engineering Test Management (ETM) product supports traceability through a digital thread, as well as continuous testing across all development stages. Teams can seamlessly share information and use automation to manage complex project schedules and reporting, ensuring everyone is on the same page.

All of these products can be integrated into IBM the IBM Engineering Lifecycle Management solution. ELM is available on premises and in the cloud, giving you flexibility to get up and running quickly, so you can focus on your organization’s ‘next normal’.

Reach out if you think we can help

We can help you navigate your dynamic engineering processes. Schedule a consultation today.

Join us online for the Engineering Academy May 13

Learn how infusing AI and IoT data into the development of complex products, and integrating product data into development, helps you stay connected and deploy new features at enterprise scale. Attend our keynote and virtual sessions to learn more about how our tools can help you today.

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aliciabuncle · 6 years ago

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How to systematically beat the competition to your customer’s door

The earliest references to the term systems engineering dates back to Bell Telephone Laboratories in the early 1940s. The MIT Labs and the Apollo space programs gave a major boost to the discipline. Since then this discipline has come a long way in complexity, scalability and range of applications. It’s seen in modern urban mobility systems — from railways to connected and autonomous vehicles.

“The true system, the real system, is our present construction of systematic thought itself, rationality itself, and if a factory is torn down but the rationality which produced it is left standing, then that rationality will simply produce another factory. If a revolution destroys a systematic government, but the systematic patterns of thought that produced that government are left intact, then those patterns will repeat themselves in the succeeding government. There’s so much talk about the system. And so little understanding.”

– Robert M Pirsig, Zen and the Art of Motorcycle Maintenance

The leading engineering conference, Asia Oceania Systems Engineering Conference (AOSEC) 2019 on 17-18 October 2019 Bangalore, India provided an opportunity for academicians, researchers and industry practitioners to connect and network for the betterment of systems engineering. At the event, Engineering of New Technologies in Complex Systems, most AOSEC delegates acknowledged that the APAC region will experience the greatest rate of adoption of systems engineering practices.

The digitization of data is driving change

An AOSEC speaker from IBM elaborated on systems engineering and its application in the aerospace and defence and automotive industries. These sectors represent one of richest technological challenges. Mission and safety challenges, combined with technological advances, drive increased complexity and sophistication. Thus, large teams of non-conventional and multidisciplinary professionals must contribute in an orchestrated way to achieve end objectives. Commoditization of new age technologies like adaptive, ADAS, UAV’s and rocket technologies has given rise to newer forms of security risks. These dynamics have triggered systems engineering initiatives such as the Model Bases System Engineering (MBSE), Department of Defence (DoD) digital engineering strategy and the INCOSE 2025 vision

Organizations expect tighter integration between the work products and artifacts produced by all the engineering disciplines (including mechanical, electrical, cyber physical, and software). Furthermore, this data needs to be positioned across the development lifecycle for an increasingly diverse set of use cases in support of design optimization and trade-off analysis.

“Get this new innovation to market before our competition beats us to it. Do it flawlessly, less expensively — and most importantly — now!”

With so much competition for market share, and so many consumers who demand new features and functions, this directive is loud and clear. And it resonates throughout the world. It sounds like an insurmountable feat, but can be accomplished with the help of model based systems engineering (MBSE).

AOSEC attendees report that consumer demand is driving complexity

The products we use every day are becoming more complex. That’s because we demand more features, insist on higher quality, desire more connections, and want to customize. Developing these new innovative and increasingly complex products falls on the shoulders the systems and software engineering teams. As products become more complex the job of designing and building them increases exponentially. Experts estimate that defects discovered after a product launch cost up to 200x more to correct than defects found during the requirements stage.1 Furthermore, 47 percent of failed projects missed goals because of poor requirements gathering.2

To remain competitive, you need to embrace a holistic approach for engineering lifecycle management

You need ensure you have data transparency if you want to to leverage AI, analytics, impact analysis, and traceability. The IBM Engineering Lifecycle Management solution is the market leading offering for companies that are seeking competitive advantages because of its integrated services provided across the major engineering functions: requirements, test, workflow management and systems design.

With its integrated capabilities, it can manage the development of the most complex systems and software:

AI Infused workflows

Safety-critical development environment

Industry solutions with built in compliance

Optimized process models

Global configuration management

Adaptive and resilient framework

You don’t have to invest precious engineering resources to manage data migration or develop and maintain interfaces between your engineering processes. You can select the entire ELM solution or choose one pillar to start. As you grow, future ELM pillars will integrate. This provides you with the option to select your own entry point. And you can be confident that rest their final destination will be an integrated insightful engineering at enterprise scale solution. Read more about IBM’s Engineering Lifecycle Management products.

Continuous improvements provide constantly better performance

IBM Engineering recently introduced AI into our Requirements Management solution, a first step in broadening capabilities across the rest of the Engineering Lifecycle Management portfolio. Modeling, test and workflow management solutions will soon include AI. Requirements Quality Analysis (RQA) is currently available for users of IBM Engineering Requirements Management DOORS Next, and will very soon be available for customers using DOORS on premise.

IBM continues to modernize and integrate ELM tools to provide customers with a complete, end-to-end lifecycle approach to systems engineering. In a recent report from Ovum, IBM was named a leader in Engineering Lifecycle Management, with high marks for its Requirements Management solutions. Read the full report: Ovum names IBM a leader in Engineering Lifecycle Management

Learn more about how IBM’s commitment to improvement can help you embrace digital transformation in engineering.

Schedule a consultation to see how IBM AI can help you improve your requirements management.

1. Barry W. Boehm and Philip N Papaccio, Understanding and Controlling Software Costs, IEEE Transactions on Software Engineering, Vol. 14, No. 10, pp 1462-1477.

2. PMI, Requirements Management: A Core Competency for Project and Program Success, 2014 https://www.pmi.org/learning/thought-leadership/pulse/core-competency-project-program-success

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aliciabuncle · 6 years ago

Text

How to systematically beat the competition to your customer’s door

– Robert M Pirsig, Zen and the Art of Motorcycle Maintenance

The digitization of data is driving change

“Get this new innovation to market before our competition beats us to it. Do it flawlessly, less expensively — and most importantly — now!”

AOSEC attendees report that consumer demand is driving complexity

To remain competitive, you need to embrace a holistic approach for engineering lifecycle management

With its integrated capabilities, it can manage the development of the most complex systems and software:

AI Infused workflows

Safety-critical development environment

Industry solutions with built in compliance

Optimized process models

Global configuration management

Adaptive and resilient framework

Continuous improvements provide constantly better performance

Learn more about how IBM’s commitment to improvement can help you embrace digital transformation in engineering.

Schedule a consultation to see how IBM AI can help you improve your requirements management.

1. Barry W. Boehm and Philip N Papaccio, Understanding and Controlling Software Costs, IEEE Transactions on Software Engineering, Vol. 14, No. 10, pp 1462-1477.

2. PMI, Requirements Management: A Core Competency for Project and Program Success, 2014 https://www.pmi.org/learning/thought-leadership/pulse/core-competency-project-program-success

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aliciabuncle · 6 years ago

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Engineering requirements management is evolving. Are you?

Over the past few months, IBM has hosted several popular IBM IoT Exchanges in major cities throughout the world. Each one attracted scores of technology professionals who are interested in learning more about the evolution of the Internet of Things (IoT), artificial intelligence (AI) and analytics. Those who participated did so because they realize that the success of their organization, and their future, may be dependent upon the benefits brought about by these innovative, new technologies. This may be especially true for professionals who develop engineering requirements.

The Exchanges have been a tremendous success for everyone involved – systems and software engineers, IBM clients, and IBM Business Partners. Feedback is extremely positive, so we plan to do more of them in the future.

In the meantime, we’ve introduced a local series, Engineering Academy Comes to You. These smaller gatherings are designed to accommodate professionals who were unable to attend the larger, national events. At these more intimate venues, professionals like yourself can learn about the latest techniques from industry experts, and speak one on one with those who are driving transformation.

Our upcoming Engineering Comes To You event focuses on requirements management

This IBM exclusive event gives systems and software engineering professionals the opportunity to learn about the future of requirements management. Topics include: • How does traditional requirements management evolve as organizations move to agile? • How does the requirements management practice evolve with increasing compliance mandates and tighter time to markets? • What role does AI play in requirements management?

IBM executives and solution experts will be on hand to share their knowledge and to answer any questions you may have.

Join us in San Ramon, CA on August 28, 2019

The agenda for the Engineering Academy Comes to You event in San Ramon packs a lot of activity, information and inspiration into a single day:

August 28, 2019

9:00 AM Introductions, Agenda and Requirements Industry Trends

9:30 AM From Paper-Based to Paper-Less: Requirements Across the Lifecycle

10:30 AM Applying Watson for Requirements Management:

Explore Customer Use Cases

11:15 AM Break

11:30 AM Back to the Basics: Writing Good Quality Requirements

Jim Marsh of IBM

12:00 PM Lunch

1:00 PM Role Requirements in Agile Projects

1:45 PM Requirements Engineering for Compliance (Traceability)

2:30 PM Open Lab sessions

4:30 PM Conference ends

This Engineering Academy Comes To You event in San Ramon promises to be very popular. There’s no cost to attend. So I urge you to register immediately. Learn how you can evolve your skills and secure your future by applying IoT and AI to conquer the challenge of requirements management.

IBM 4000 Executive Parkway 3rd Floor – Room 340 San Ramon, CA 94583

I hope to see you in sunny San Ramon. However if you can’t attend this gathering, watch this blog and our social media for more events in locations across the US.

Mark your calendar!

Our next Engineering Academy Comes To You event will be occurring in Washington, DC:

Model Based Systems Engineering (MBSE) and Requirements Management Washington, DC September 17 – 19, 2019

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aliciabuncle · 6 years ago

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Your CIO and Engineering Manager want you to attend this MBSE webinar

“Get this new innovation to market before our competition beats us to it. Do it flawlessly, less expensively — and most importantly — now!” With so much competition vying for market share, and so many consumers demanding new features and functions, this directive is now heard in eighty nine percent of IT departments1. In every industry. Throughout the world. It sounds like an insurmountable feat. But you can do it with the help of model based systems engineering (MBSE).

On July 31, please join me for a special webinar that is part of the continuing IBM Engineering Academy Comes To You series. Inspired by the success of our IBM Engineering Academies at the recent IoT Exchanges in Orlando, Paris, London and Berlin, we’re bringing important MBSE news and information directly to engineering professionals throughout the world. The first webinar features engineering lifecycle management expert, Kim Cobb who’ll teach you how to accelerate your digital transformation.

July 31 Webinar: Jump start your digital transformation with model based systems engineering

As you know, engineering data is being increasingly digitized. Organizations are expecting tighter integrations between the work products and artifacts produced by all the engineering disciplines (including mechanical, electrical, cyber physical, as well as software). Furthermore, it needs to be positioned across the development lifecycle for an increasingly diverse set of use cases in support of design optimization and trade-off analysis. This highly informative seminar presents key facts you need to know to address these issues.

Kim Cobb will discuss how MBSE allows users to create a virtual prototype of the system under development. She’ll also present how MBSE helps reduce costs by identifying issues in the requirements that are easier and less expensive to correct when discovered early in the lifecycle.

You won’t want to this powerful learning event where you’ll learn how MBSE can:

Reduce system design time from 60 months or more down to 18 months

Automate manual processes of tracking requirements to hardware artifacts

Conduct impact analysis when requirements change

Generate documentation automatically to demonstrate compliance

Source: https://ift.tt/2M7nClY

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