Supply chain modeling

Author: [USA] Jeremy Shapiro / Chen Guangxin
Publisher:
Publish Date: 2005-01-01
Features: While emphasizing data, models, and modeling systems, Jeremy Shapiro teaches you how to analyze supply chain planning problems. This book is an ideal textbook for supply chain management courses and provides top-notch, practical advice on models and modeling systems for various planning problems for supply chain experts. The book is divided into four parts. Part one discusses the motivation for using models to analyze supply chain problems. It also examines the architecture of supply chain modeling systems that support strategic, tactical, and operational layer decision-making. Part two provides a detailed introduction to linear programming models and mixed-integer programming models for optimizing supply chain decisions. The discussion includes small-scale model examples for production, transportation, and inventory planning problems. It also introduces the solution methods for these models and their economic interpretations, along with demonstrations of spreadsheet optimization methods. Part three discusses the application of modeling systems in supply chain problems at the strategic, tactical, and operational layers. Part four addresses the human and organizational issues surrounding companies' efforts to apply data and modeling systems in improving supply chain management. The target audience for this book: Managers seeking models and modeling systems to help them make better supply chain decisions. IT personnel responsible for developing and maintaining modeling systems and integrating them with enterprise resource planning and e-commerce systems. Consultants using models for supply chain research, as well as college students who will become supply chain managers, IT personnel, or consultants.