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020 _a9788131501566
_qPaperback
040 _cCentral Library, Khulna University
041 _2eng
082 _a658.7
_bSHM
100 _aShapiro, Jeremy F.,
_eAuthor
245 1 0 _aModeling The supply Chain /
_cJeremy F. Shapiro.
250 _a4th ed.
260 _aPacific Grove, CA :
_bBrooks/Cole-Thomson Learning,
_c2022
300 _axvi, 608 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references and index.
505 0 _aPart I: INTRO TO SUPPLY CHAIN MANAGEMENT AND SUPPORTING INFORMATION TECHNOLOGIES. 1. Supply Chain Management, Integrated Planning, and Models. 2. Information Technology.
505 _aPart 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.
505 _aPart III: APPLICATIONS. 8. Strategic and Tactical Supply Chain Planning. 9. Operational Supply Chain Planning. 10. Inventory Planning. 11. Supply Chain Decision Making under Uncertainty.
505 _aPart IV: THE FUTURE. 12. Beyond Supply Chain Optimization to Enterprise Optimization. 13. Organizational Adaptation to Modeling Systems. Credits. Index
520 _aExamines 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.
650 0 _aMaterial requirements planning
_xMathematical models.
650 0 _aMaterials management
_xMathematical models.
650 0 _aBusiness logistics
_xMathematical models.
650 0 _aIndustrial procurement
_xMathematical models.
650 0 _aMarketing channels
_xMathematical models.
650 0 _aLinear programming.
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