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.
Benefits:
NEW! The Second Edition has roughly twice the number of exercises as the First Edition, including both modeling
exercises and discussion questions.
Surveys descriptive models and methods important to supply chain planning including forecasting, simulation,
systems dynamics, activity-based costing, data envelopment analysis, and the balanced scorecard.
Explains how companies can adapt their business processes to fully achieve integrated supply chain management
by the use of modeling systems.
Provides examples of how concepts from management disciplines can be translated into model elements.
NEW! An enhanced book specific website contains modeling exercises involving data files taken from the book
and discussion questions involving white papers. The website also contains hotlinks to other websites organized
by parts and chapters where they are relevant.
NEW! Entirely new Chapter 6 (Overview of Descriptive Models) and Chapter 12 (Beyond Supply Chain Optimization
to Enterprise Optimization), which is an expanded version of material from the First Edition, examining in detail
the integration of supply chain decision making with marketing and corporate financial decision making.
NEW! New information regarding the progress in ERP and e-commerce systems, as well as a section on RFID developments
in Chapter 2.
NEW! New approaches for optimizing inventory deployment decisions in strategic supply chain design studies
is presented in Chapter 10.
NEW! New material in Chapter 11 discusses modeling approaches and case studies to support supply chain decision
making under uncertainty.
Begins with pedagogical examples of linear and mixed integer programming models and methods for optimizing
them. The complementary role of heuristic methods, especially for operational problems, is examined.
Reviews developments in IT that both promote and require supply chain optimization modeling, and supply chain
decision databases are examined in detail.
Discusses modeling applications to supply chain management problems at all levels of planning, such as strategic,
tactical, and operational.
