Tumgik
#operationsresearch
shristisahu · 7 months
Text
#Revolutionizing Supply Chain Efficiency through Network Optimization
Originally Published on: QuantzigSupply Chain Network Optimization Boosts Efficiency, Cuts Inventory by 65%
##Industry Overview In the dynamic realm of supply chain dynamics, a leading U.S. food manufacturing company faced intricate challenges due to the complexity of its supply network. To address this complexity and enhance overall performance, the company partnered with Quantzig, aiming to redesign its supply chain for increased efficiency in response to surging global demand and online sales.
Book a demo to explore meaningful insights derived from data through our analytical tools and platform capabilities. Schedule a demo today!
##The Business Challenge With supply chain operations impacting procurement costs and service efficiency, optimizing product flow became imperative. Unfortunately, many businesses neglect aligning their network optimization programs with long-term objectives. In response, Quantzig focuses on developing dynamic supply chain network optimization capabilities that align with both short-term efficiency gains and long-term strategic goals.
##Solutions Offered and Value Delivered Quantzig's analytics experts collaborated with the client, conducting a thorough evaluation, recommending operational enhancements, piloting changes, and finally implementing them. Leveraging internal supply chain data, the team uncovered several cost-saving opportunities.
Our supply chain network optimization solutions enabled the client to:
Enhance value creation: Implementing systematic order management systems. Achieve performance improvements: Streamlining internal clearance processes. Reduce inventory costs: Achieving a remarkable 65% reduction. Experience the advantages firsthand by testing a customized complimentary pilot designed to address your specific requirements. Pilot studies are non-committal in nature.
##Impacts of Supply Chain Network Optimization
###Enhanced Operational Efficiency Implementation of advanced analytics and optimization techniques streamlined warehouse expenses and supply chain networks, improving product availability and delivery speed. This led to optimized operational details, reduced excess capacity, mitigated shortages, and consolidated footprints, resulting in improved bottom-line numbers and heightened market competitiveness.
###Improved Agility and Responsiveness Incorporating optimization-derived designs and employing deep reinforcement learning allowed businesses to adapt to rapid demand growth and unforeseen disruptions. Continuous improvements and incremental changes enhanced the supply chain's resilience, ensuring uninterrupted service and meeting next-day delivery cutoffs, thus capitalizing on opportunities and maintaining customer satisfaction.
###Strategic Decision Making Multi-objective network optimization aligned organizational objectives with supply chain configurations, facilitating strategic growth initiatives and future expansion plans. Utilizing physics-inspired graph neural networks ensured unconstrained capacity networks supporting future growth strategies, fostering sustainable growth and a competitive advantage.
###Technological Advancement and Innovation Leveraging operations research-based tools and emerging technologies like combinatorial optimization with graph neural networks fueled innovation within the supply chain domain. This approach tackled complexities with novel strategies, fostering a culture of continuous improvement and keeping organizations at the forefront of supply chain management practices.
##Optimization Techniques and Technology
###Advanced Analytics for Data-Driven Insights Leverage advanced analytics to harness vast amounts of data within supply chain networks. Techniques such as network modeling and deep reinforcement learning analyze operational details, identify patterns, and inform decisions. Thought leadership in advanced analytics enables organizations to stay ahead, leveraging data as a strategic asset.
###Multi-Objective Network Optimization Embrace multi-objective network optimization approaches to balance conflicting goals within the supply chain. By optimizing across various dimensions like product availability, delivery speed, and cost efficiency, businesses achieve synergies and trade-offs aligning with strategic objectives.
###Integration of Cutting-Edge Technologies Integrate technologies like Combinatorial Optimization with Physics-Inspired Graph Neural Networks to tackle complex supply chain networks. By harnessing machine learning and graph neural networks, businesses address traditional supply chain problems, optimizing designs for maximum effectiveness and staying agile in evolving market dynamics.
###Continuous Improvement through Operations Research-Based Tools Embrace operations research-based tools for continuous improvement within the supply chain. This systematic approach identifies opportunities, evaluates scenarios, and makes data-driven decisions, enhancing supply chain resilience and improving overall operational efficiency.
###Strategic Alignment with Organizational Objectives Ensure optimization techniques and technology align with broader organizational objectives. Integrating optimization-driven supply chain network designs with the organizational structure fosters a cohesive framework for decision-making, resource allocation, and drives sustainable growth.
##How Can You Achieve Supply Chain Network Optimization?
Achieving supply chain network optimization requires a comprehensive approach integrating various strategies and technologies.
Utilize Advanced Analytics and Technologies: Leverage advanced analytics and technologies like deep reinforcement learning and operations research-based tools for thorough analysis.
Streamline Operational Processes: Focus on streamlining processes to improve delivery speed and product availability. Optimize inbound and outbound delivery options, utilize distributed storage networks, and explore different transport modes.
Align Organizational Objectives: Ensure alignment between organizational objectives and supply chain configurations. Develop a clear future growth strategy and organizational model supporting value-adding stages.
Continuous Improvement and Adaptation: Embrace a culture of continuous improvement to address evolving challenges. Implement incremental network changes based on feedback, market trends, and technological advancements.
Monitor Performance Metrics: Establish key performance metrics and regularly monitor bottom-line numbers. Analyze reports to track progress, identify areas for improvement, and make data-driven decisions.
Quantzig is a leading provider of advanced analytics and consulting services, known for its expertise in supply chain optimization. Our capabilities are characterized by a data-driven approach, advanced analytics, and a focus on delivering tangible business outcomes such as cost savings, improved service levels, and enhanced operational resilience.
Adopting a structured approach to supply chain network optimization can help businesses tackle complexities and achieve substantial reductions in inventory costs. Get started with your complimentary trial today and explore our range of customized, consumption-driven analytical solutions across different maturity levels.
Contact us.
0 notes
salvatoretirabassi · 8 months
Text
Who’s on a quest to develop advanced data science capabilities? One of my analytics team’s strategic expansion brought together diverse talents in statistics, applied math, and engineering.
0 notes
williamkergroach55 · 9 days
Video
youtube
Discover 'Mastering Operations Research: Theory, Practice, and Applications'! 📚 A comprehensive guide to boosting your #OperationsResearch skills. Available on #Amazon. 🚀 #Optimization #Logistics #Finance #Engineering #BigData #AI Mastering Operations Research: Theory, Practice, and Applications. 
0 notes
samacheerkalviguru · 3 years
Link
0 notes
emilyiannielli · 7 years
Photo
Tumblr media
I am proud to say I got my start at Nassau Community College where I found the professors very dedicated, the class room sizes perfect for ideal learning and the curriculum challenging and rewarding. The atmosphere of the campus was enjoyable and the experience of my first two years of college was very enjoyable. I thoroughly enjoyed my first two years of engineering studies at Nassau Community College and my only regret was that I didn’t come out as a transgender woman but the 1979-1981 time frame was very different from today but I would have enjoyed wearing dresses 👗 in my calculus and physics classes.#nassaucommunitycollege #engineeringscience #gardencitynewyork #calculus #physics #strengthofmaterials #dynamics #electricalcircuits #thermodynamics #mechanicaldrawing #englishcomposition #operationsresearch (at Nassau Community College)
1 note · View note
ijtsrd · 5 years
Photo
Tumblr media
Applications of Quantitative Techniques in Decision Making of Business Organisation
by Dr. A. Malleswari Devi | Mrs. A. Devaki "Applications of Quantitative Techniques in Decision Making of Business Organisation" 
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, 
URL: https://www.ijtsrd.com/papers/ijtsrd22889.pdf
Paper URL: https://www.ijtsrd.com/management/randd-management/22889/applications-of-quantitative-techniques-in-decision-making-of-business-organisation/dr-a-malleswari-devi
call for paper management, ugc approved journals for management, management journal
In the business world, and in fact, in practically every aspect of daily living, quantitative techniques are used to assist in decision making. Quantitative techniques are used to assist in decision making. Managers must be able to use quantitative techniques in a confident and reliable manner. Accountants make decisions based on the information relating to the financial state of organization. Economists make decision based on the information relating to the economic framework in which the organization operates. Marketing staff make decisions based on customer response to product and design. Personnel managers make decisions based on the information relating to the levels of employment in the organization, and so on. Such information is increasingly quantitative and it is apparent that managers need a working knowledge of the procedures and techniques appropriate for analysing and evaluating such information. The important techniques that aid the manager in decision making are operations research and other quantitative techniques are Operations Research, Models, Project management, Linear Programming, PERT and CPM, Probability Theory Analysis., etc. 
0 notes
mheyrmedia · 6 years
Photo
Tumblr media
My Amath self is happy! 💜 ___________________ #TheMHEYRchant ___ #ResearchMethods #GAD #GenderAndDevelopment #GADstudies #alaGAD #QualitativeAnalysis #AppliedMathematics #OperationsResearch #MultiFaceted (at N Hotel Kauswagan Cagayan de Oro City) https://www.instagram.com/p/BvRi_OuHvfk/?utm_source=ig_tumblr_share&igshid=1f93l0skzccw2
0 notes
nanavatilow-blog · 7 years
Photo
Tumblr media
CPS Repository Contributions
1. Abstraction CPS Method
In this method, you solve the problem in a model of the system before applying it to the real system. Often called “simulation,” the technique focuses understanding constraints, variables and quantifying meaningful input and output of the system. The one caveat to this CPS is that the problem you are tackling is a closed-system. An example of this approach is simulation of customers at a bank waiting in line and modifying it to work for improving wait times at Disneyland.
2. Analogy CPS Method
The Analogy CPS Method leverages a solution that solved an analogous problem. This is commonly leveraged in process improvement projects. For example, if a the wrong part has a high probability of being installed incorrectly on the vehicle assembly line, quality engineers will look at how other assembly lines do a similar/same function then tweak it to their needs.
3. Fractionalization (aka Divide-and-Conquer) CPS Method
Fractionalization is the main problem solving technique taught in engineering school. In this methodology, you break down a large and complex problem into smaller, solvable problems. Each one of these can be tackled using different approaches.
4. Hypothesis Testing CPS Method
The hypothesis testing CPS method is commonly used in probability questions. You first assume a possible explanation to the problem and trying to prove (or in some contexts, disprove the assumption).
5. Reduction CPS Method
The reduction CPS strategy is very similar to #2’s Analogy CPS. The caveat is that you transform the problem into another problem for which solutions exist.
0 notes
theiteducation · 4 years
Text
Linear Programming Introduction and Concepts | Operations Research Lecture No 3
Linear Programming Introduction and Concepts | Operations Research Lecture No 3
Linear Programming Introduction and Concepts Operations Research Lecture No 3 #LinearProgramming #OperationsResearch #LP. Operation Research: History and Applications in #Hindi and #URDU #OperationResearch #MTH601 – Operations Research course of Virtual university | https://bit.ly/2K5byzy Course Introduction MTH601 – Operations Research Introduction and OR Process for BSIT, BSCS BBA and BSSE…
Tumblr media
View On WordPress
0 notes
mandeepksharma-blog · 4 years
Text
https://youtu.be/0RmpoyR_Qas
Latest Video is Live on Happy Learning.
Learn How to Solve word problems based on Compound interest under #OperationsResearch
ShoutOut to YT Channel My way Teaching
Share and Subscribe.
Keep Supporting #HappyLearning
Like/Share the Page for updates.
Subscribe youtube.com/c/happylearning for more videos.
0 notes
jcurtisid · 6 years
Link
Linear #programming is one of the most common optimization techniques. It has a wide range of applications and is frequently used in #operationsresearch, #industrialdesign, #planning, and the list goes on.#PythonProgramming #Pythonhttps://t.co/HNCnSazVlT pic.twitter.com/CbtlsrBax6
— Thorgate (@thorgate) March 15, 2019
March 16, 2019 at 04:01AM
0 notes
saarahyi-blog · 7 years
Photo
Tumblr media
Hallo ihr Lieben! 🎄 Ich sitze vor meiner Heizung und lese ein wenig in dem Buch zu Operations Research, nur damit ich auch eine andere Sicht drauf bekomme als aus der Vorlesung. Bei uns ist es die letzen Tage richtig kalt geworden, darum werde ich das Lernen wieder vor die Heizung verlegen 🤗 Was sind eure Lieblingsplätze zum Lernen außer am Schreibtisch? . . . . . . . #lernenbisderkopfraucht #studygram #studyblr #wiwi #student #university #liebefeld #economics #lernenlernenlernen #studyforlife #potd #heizungsliebe #bwl #or #operationsresearch (hier: Nordrhein-Westfalen, Germany)
0 notes
samacheerkalviguru · 3 years
Link
0 notes
theiteducation · 4 years
Text
Simplex Method _ LPP Solutiosn
In this video, Today we will learn Simplex method and we will learn how to solve LPP by simplex method. LPP stands for Linear programming problems. This is second method we are learning for the Solution of LPP by Simplex Method. So far we have learnt what is LPP and how we formulate Linear programming methods. #SimplexMethod #LPP #OperationsResearchWhat is Simplex Method?Simplex method is based on graphical and algebraic expressions which is used to solve linear programming problem. The simplex method of linear programming also have some variations like it can by used in maximization and minimization problems of LPP.I have recorded This tutorial simplex method in Hindi and Urdu for the students of Operations research of my #BSCS, #BSIT, #BSSE and many other mathematical and applied math degree programs.#bhfyphttps://youtu.be/HuaNL9buGbI
https://youtu.be/4SSiSVjZ2Vw
0 notes
mandeepksharma-blog · 4 years
Text
https://youtu.be/C5fORYXLXiU
Latest video on Happy Learning is live now.
Check it out and Learn how to Solve Linear Programming problem of Maximization type using SIMPLEX Method.
Feel free to Like. Share it with your friends and Don't forget to Subscribe and pressing the BELL icon.
#HappyLearning #OperationsResearch
0 notes
jcurtisid · 6 years
Link
Linear #programming is one of the most common optimization techniques. It has a wide range of applications and is frequently used in #operationsresearch, #industrialdesign, #planning, and the list goes on.#PythonProgramming #Pythonhttps://t.co/HNCnSazVlT pic.twitter.com/CbtlsrBax6
— Thorgate (@thorgate) March 15, 2019
March 16, 2019 at 04:00AM
0 notes