supply chain network design applying optimization and analytics to the global supply chain

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Supply Chain Network Design

Author : Michael Watson
ISBN : 9780133017298
Genre : Business & Economics
File Size : 22. 56 MB
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Using strategic supply chain network design, companies can achieve dramatic savings from their supply chains. Now, experts at IBM and Northwestern University have brought together both the rigorous principles and the practical applications you need to master. You’ll learn how to use supply chain network design to select the right number, location, territory, and size of warehouses, plants, and production lines; and optimize the flow of all products through your supply chain even if extends around the globe. The authors present better ways to decide what to manufacture internally, where to make these products, which products to outsource, and which suppliers to use. They guide you in more effectively managing tradeoffs such as cost vs. service level, improving operational decision-making by integrating analytics throughout supply chain management; and re-optimizing regularly for even greater savings. Supply Chain Network Design combines best practices, the latest methods in optimization and analytics, and cutting-edge case studies: everything you need to maximize the value of supply chain network design. For all supply chain executives, managers, strategists, and analysts; and for all students, instructors, and researchers in advanced supply chain management and/or logistics courses.

Supply Chain Network Design

Author : Michael Watson
ISBN : 9780133017373
Genre : Business & Economics
File Size : 73. 33 MB
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This book provides a complete foundation for building tomorrow's most complex global supply chain models and using them to reduce costs and support business strategy. Frawing on their experience building and optimising hundreds of supply chains, the authors thoroughly introduce each key concept and its modern scientific foundations and demonstrate its use through realistic case studies.

Supply Chain Optimization Through Segmentation And Analytics

Author : Gerhard J. Plenert
ISBN : 9781466584761
Genre : Business & Economics
File Size : 25. 31 MB
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We live in a world where we try to solve similar problems in structurally the same way. But they simply are not optimally solved all the same. Supply Chain Optimization through Segmentation and Analytics addresses the issue of optimizing the planning and scheduling process and asks the question; "Is there a ‘one size fits all’ solution for planning and scheduling?" The answer is a resounding "No!" We migrated through EOQ, MRP, JIT, and TOC, each time hoping to find that one size fits all. Each of these systems looked at the facility as if it had one focused problem, either optimizing work schedules, materials movement, or machine utilization. But what if you have two, or possibly even all three of these problems? Then what system do you use? Or what if your critical resource is not labor, materials, or machinery? Then which planning and scheduling solution do you utilize? This book introduces the concept of segmentation as the planning and scheduling tool that facilitates the optimization of the supply chain. If you have one type of problem in a part of your supply chain, you use the solution that appropriately focuses on that problem. If you have a different problem in a different part of your supply chain, then you use a different and appropriate tool for that part of the supply chain, and so forth. Or, if your product is in different stages of its life cycle, it probably requires a different set of tools for each stage of that life cycle. In addition, the book discusses how to integrate planning and scheduling tools using a segmentation approach that results in a world-class supply chain environment. It clearly details the power of segmentation and offers a systematic plan for implementation in the supply chain. To facilitate this, the author covers the components of an integrated segmentation policy, including the analytics elements and the measures that define segmentation success. He helps you build a strategy and methodology for introducing segmentation principles that allow you to break free from "one size fits all" thinking.

The Applied Business Analytics Casebook

Author : Matthew J. Drake
ISBN : 9780133408690
Genre : Business & Economics
File Size : 84. 57 MB
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The first collection of cases on “big data” analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading “big data” experts, the cases in The Applied Business Analytics Casebook covers: Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models

Supply Chain Management For Engineers

Author : Samuel H. Huang
ISBN : 9781466568921
Genre : Business & Economics
File Size : 35. 57 MB
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Originally taught mainly in business schools, supply chain management has become a common elective and graduate course in engineering colleges. The increasing demand for engineers with supply chain knowledge has fed this shift. However, supply chain management textbooks that have a reasonable coverage of quantitative analysis techniques are few and far between. Concise, straightforward, and easy-to-read, Supply Chain Management for Engineers uses practical problems to introduce key concepts and cultivate students’ problem-solving skills. Helping students hone their analytical skills and develop the ability to solve real-world problems, the book: Includes a simulation game for practicing supply chain management skills Covers the use of practical software tools including Gurobi Optimizer and Microsoft EXCEL Facilitates the use of problem-based learning (PBL) pedagogy Provides a theoretical framework for supply chain design and supplier selection Focusing on quantitative aspects, this book uses example problems to introduce key concepts and case studies to strengthen students’ analysis and synthesis skills. In addition to exercises, this book also provides several problems that are relatively complicated and can be used as mini projects that link theoretical concepts to practical problem solving. It also presents a simulation game where students can play the roles of suppliers, OEMs, and retailers within a supply chain environment to practice the skills they acquire. It also stresses the importance of integrating engineering optimization techniques with business strategic thinking. These features and more give students the supply chain knowledge and problem-solving skills increasingly required for engineers entering the work force.

Quantitative Methods In Supply Chain Management

Author : Ioannis T. Christou
ISBN : 085729766X
Genre : Technology & Engineering
File Size : 56. 4 MB
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Quantitative Methods in Supply Chain Management presents some of the most important methods and tools available for modeling and solving problems arising in the context of supply chain management. In the context of this book, “solving problems” usually means designing efficient algorithms for obtaining high-quality solutions. The first chapter is an extensive optimization review covering continuous unconstrained and constrained linear and nonlinear optimization algorithms, as well as dynamic programming and discrete optimization exact methods and heuristics. The second chapter presents time-series forecasting methods together with prediction market techniques for demand forecasting of new products and services. The third chapter details models and algorithms for planning and scheduling with an emphasis on production planning and personnel scheduling. The fourth chapter presents deterministic and stochastic models for inventory control with a detailed analysis on periodic review systems and algorithmic development for optimal control of such systems. The fifth chapter discusses models and algorithms for location/allocation problems arising in supply chain management, and transportation problems arising in distribution management in particular, such as the vehicle routing problem and others. The sixth and final chapter presents a short list of new trends in supply chain management with a discussion of the related challenges that each new trend might bring along in the immediate to near future. Overall, Quantitative Methods in Supply Chain Management may be of particular interest to students and researchers in the fields of supply chain management, operations management, operations research, industrial engineering, and computer science.

Modeling The Supply Chain

Author : Jeremy Shapiro
ISBN : 9780495126096
Genre : Business & Economics
File Size : 86. 68 MB
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With an emphasis on modeling techniques, Jeremy Shapiro’s MODELING THE SUPPLY CHAIN is the perfect tool for courses in supply chain management or for professional managers who seek better analytical tools for managing their supply chains, information technologists who are responsible for developing and/or maintaining such tools, and consultants who conduct supply chain studies using models. Shapiro examines in detail the roles of data, models, and modeling systems in helping companies improve the management of their supply chains. The focus is on optimization models based on linear and mixed integer programming. The complementary role played by descriptive models in developing data inputs for optimization models is thoroughly reviewed. Using numerous applications, Shapiro clearly illustrates that when properly implemented, these methodologies can create accurate and comprehensive models of great practical value. The book also shows how competitive advantage in supply chain management can be most fully realized by developing and applying optimization modeling systems. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

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