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
Global Supply Chain: Using Systems Engineering Strategies to Respond to Disruptions uses a systems-based approach of the tools and techniques of industrial engineering applied to the global supply chain. The specific application addressed in this book is the supply chain, which has been disrupted due to COVID-19 and the closure of several plants in the chain. The book presents the basic tools of industrial engineering applicable to a dynamic supply chain system. It recognizes the nuances of human factors in any commerce and industry and covers the basic elements of a supply chain from a systems perspective. It highlights the global impacts of disruption caused by COVID-19 and leverages the Triple C Model of system communication, cooperation, and coordination. It also illustrates the applicability of the DEJI systems model for supply chain design, evaluation, justification, and integration. Supply chain modeling optimization examples are offered, and the introduction of a newly developed learning curve model, applied to the global supply chain, is presented. The contents of the book are applicable not only to the food supply chain but also to the supply of other commodities, including physical products, services, and desired end results. The book is written for engineers working in production, civil, mechanical, and other industries. It will be of interest to engineering managers, consultants as well as those involved with business management. University students and instructors will also find this book useful as a general reference.
Winner of 2013 IIE/Joint Publishers Book-of-the-Year AwardEmphasizing a quantitative approach, Supply Chain Engineering: Models and Applications provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, operation, and management of global supply chains. The text provides an understanding of
Supply Chain Engineering considers how modern production and operations management techniques can respond to the pressures of the competitive global marketplace. It presents a comprehensive analysis of concepts and models related to outsourcing, dynamic pricing, inventory management, RFID, and flexible and re-configurable manufacturing systems, as well as real-time assignment and scheduling processes. A significant part is also devoted to lean manufacturing, line balancing, facility layout and warehousing techniques. Explanations are based on examples and detailed algorithms while discarding complex and unnecessary theoretical minutiae. All examples have been carefully selected from an industrial application angle. This book is written for students and professors in industrial and systems engineering, management science, operations management and business. It is also an informative reference for managers looking to improve the efficiency and effectiveness of their production systems.
When you invest millions on new systems you don't want yesterday's solutions. You need a global view of end-to-end material, information, and financial flows. Managers today have the same concerns managers had last year, 10 years ago, or 50 years ago: products, markets, people and skills operations, and finance. New supply chain management processe
Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.
David Jacoby's highly regarded book addresses the specific supply chain management characteristics and needs of oil, gas, and power companies, and contains a wealth of industry-specific examples. Jacoby provides a toolbox for large-scale capital expenditure decision making and for transforming capital and operation expenditures to exert a visible financial impact in oil, gas, and power companies. The supply chain risk management decision analysis tools offered by Jacoby will help operators increase economic value added while enhancing safety and stewardship of the environment. This book is an invaluable reference resource for chief operating officers; chief financial officers; engineers; vice presidents of supply chain, operations, or production; and directors and managers of procurement, purchasing, operations, or materials management.
In many businesses, supply chain people are trapped in reactive roles where they source, contract, purchase, receive, warehouse, and ship as a service. However, in some businesses suppliers contribute to improvement programs, technology, funding, marketing, logistics, and engineering expertise. Breaking into a proactive supply chain role takes broad thinking, a talent for persuasion, and the courage to go after it. This book supplies proven methods to help you do so. A Practical Introduction to Supply Chain describes how to run an efficient supply chain that exceeds expectations in terms of cost, quality, and supplier delivery. It explains the need to integrate systems, the flow of information, and the way in which people work together between commercial purchasing, materials management, and distribution parts of the supply chain. Sharing powerful insights from the perspective of a supply chain manager, the book details practical techniques drawn from the author’s decades of experience. It presents methods that apply directly to supply chains involving a physical product, manufactured internally or outsourced, as well as physical operations such as oilfield services. This book demonstrates how to make a supply chain organization work in practice—contributing more to business success than traditional purchasing and logistics organizations can. In addition to writing about practical supply chain issues and approaches, the author also describes proven methods he used while working with client teams on assignments. He also details some of the ways his teams used to manage the people part of the change.
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.
