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.

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.

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.

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.

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

The focus of Supply Chain Engineering is the engineering design and planning of supply chain systems. There exists a very large variety of supply chain system types, all with different goals, constraints, and decisions, but a systematic approach for the design and planning of any supply chain can be based on the principles and methods of system engineering. In this book, author Marc Goetschalckx presents material developed at the Georgia Tech Supply Chain and Logistics Institute, the largest supply chain and logistics research and education program in the world. The book can be roughly divided into four sections. The first section focuses on data management. Since most of planning and design requires making decisions today so that supply chain functions can be executed efficiently in the future, this section introduces forecasting principles and techniques. The second section of the book focuses on transportation systems. First, the characteristics of transportation assets and infrastructure are shown. Then four chapters focus on the planning of transportation activities depending on who controls the transportation assets. The third section of the book is focused on storing goods, and the last section of the book is focused on supply chain systems that consider simultaneously procurement, production, and transportation and inventory as well as the design of the supply chain infrastructure or network design. In each chapter, first a model of the process being studied is developed followed by a description of practical solution algorithms. More advanced material is typically described in appendices. This makes it possible to use an integrated, breath-first treatment of supply chain systems by using the initial material in each chapter. A more in depth treatment of a specific topic or process can be found towards the end of each chapter. End-of-chapter exercises are included throughout. This text is suitable for several target audiences. The first target is a course for upper-level undergraduate students on supply chains. The second target is the use in a capstone senior design project in the supply chain area. The third target is an introductory course on supply chains either in a master of engineering or a master of business administration program, and the final audience consists of students attending logistics or supply chain post-graduate or continuing education courses.

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.

New technologies are revolutionising the way manufacturing and supply chain management are implemented. These changes are delivering manufacturing firms the competitive advantage of a highly flexible and responsive supply chain and manufacturing system to ensure that they meet the high expectations of their customers, who, in today's economy, demand absolutely the best service, price, delivery time and product quality.To make e-manufacturing and supply chain technologies effective, integration is needed between various, often disparate systems. To understand why this is such an issue, one needs to understand what the different systems or system components do, their objectives, their specific focus areas and how they interact with other systems. It is also required to understand how these systems evolved to their current state, as the concepts used during the early development of systems and technology tend to remain in place throughout the life-cycle of the systems/technology. This book explores various standards, concepts and techniques used over the years to model systems and hierarchies in order to understand where they fit into the organization and supply chain. It looks at the specific system components and the ways in which they can be designed and graphically depicted for easy understanding by both information technology (IT) and non-IT personnel.Without a good implementation philosophy, very few systems add any real benefit to an organization, and for this reason the ways in which systems are implemented and installation projects managed are also explored and recommendations are made as to possible methods that have proven successful in the past. The human factor and how that impacts on system success are also addressed, as is the motivation for system investment and subsequent benefit measurement processes.Finally, the vendor/user supply/demand within the e-manufacturing domain is explored and a method is put forward that enables the reduction of vendor bias during the vendor selection process.The objective of this book is to provide the reader with a good understanding regarding the four critical factors (business/physical processes, systems supporting the processes, company personnel and company/personal performance measures) that influence the success of any e-manufacturing implementation, and the synchronization required between these factors.· Discover how to implement the flexible and responsive supply chain and manufacturing execution systems required for competitive and customer-focused manufacturing· Build a working knowledge of the latest plant automation, manufacturing execution systems (MES) and supply chain management (SCM) design techniques· Gain a fuller understanding of the four critical factors (business and physical processes, systems supporting the processes, company personnel, performance measurement) that influence the success of any e-manufacturing implementation, and how to evaluate and optimize all four factors

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.