Shapiro, Jeremy F., <br/><br/>
Modeling The supply Chain / 
Jeremy F. Shapiro. 
 - 4th ed. 
 - Pacific Grove, CA :  Brooks/Cole-Thomson Learning,  2022 
 - xvi, 608 p. :   ill. ;  24 cm. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Part I: INTRO TO SUPPLY CHAIN MANAGEMENT AND SUPPORTING INFORMATION TECHNOLOGIES. 1. Supply Chain Management, Integrated Planning, and Models. 2. Information Technology.  Part II: MODELS. 3. Fundamentals of Optimization Models: Linear Programming. Appendix 3A: The Simplex Method of Linear Programming. 4. Fundamentals of Optimization Models: Mixed Integer Programming. Appendix 4A: The Branch-and-Bound Method for Mixed Integer Programming. 5. Unified Optimization Methodology for Operational Planning Problems. Appendix 5A: A Recursive Method for Optimizing Routes. 6. Overview of Descriptive Models. 7. Supply Chain Decision Databases.  Part III: APPLICATIONS. 8. Strategic and Tactical Supply Chain Planning. 9. Operational Supply Chain Planning. 10. Inventory Planning. 11. Supply Chain Decision Making under Uncertainty.  Part IV: THE FUTURE. 12. Beyond Supply Chain Optimization to Enterprise Optimization. 13. Organizational Adaptation to Modeling Systems. Credits. Index 
<br/><br/> Examines the roles of data, models, and modeling systems in helping companies improve the management of their supply chains. This title focuses on optimization models based on linear and mixed integer programming. It reviews the complementary role played by descriptive models in developing data inputs for optimization models. 
<br/><br/><label>ISBN: </label>9788131501566 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Material requirements planning--Mathematical models.<br/>Materials management--Mathematical models.<br/>Business logistics--Mathematical models.<br/>Industrial procurement--Mathematical models.<br/>Marketing channels--Mathematical models.<br/>Linear programming.
<br/><br/><label>Dewey Class. No.: </label>658.7  / SHM