Analysis and Modeling of Manufacturing Systems by Stanley B. Gershwin
The understanding of modern manufacturing systems and supply chains requires the application of a number of mathematical and computational techniques. Gershwin (Massachusetts Institute of Technology, US), Dallery (École Centrale Paris, France), Papadopoulos (U. of the Aegean, Greece), and Smith (U. of Massachusetts at Amherst, US) present 16 papers that explore such topics as inventory models for repairable item systems, distribution resource planning systems, process adjustment for assemblies, stochastic lead time models for supply chain networks, and performance evaluation of production lines with random processing times. Annotation (c)2003 Book News, Inc., Portland, OR
List of Figures. List of Tables. Preface. 1. Capacitated Two-Echelon Inventory Models for Repairable Item Systems; Z.M. Avsar, W.H. Zijm. 2. Distribution Resource Planning Systems: A Critique and Enhancement; G.E. Feigin, et al. 3. Process Adjustment for Assemblies; D.W. Glenn, S.M. Pollock. 4. Exact Analysis of a Continuous Material Merge with Limited Buffer Capacity and Three Stations; S. Helber, N. Mehrtens. 5. Optimal Scheduling for Piecewise Deterministic Multi-Armed Bandit Problem; M.-O. Hongler, F. Dusonchet. 6. Production Planning for Short Life-Cycle Products in Consideration of Clearance Sale; H. Ishikura. 7. Analysis of Automated Flow Line Systems with Repair Crew Interference; H. Kuhn. 8. Performance Evaluation of Production Lines with Random Processing Times, Multiple Failure Modes and Finite Buffer Capacity Part I: The Building Block; R. Levantesi, et al. 9. Performance Evaluation of Production Lines with Random Processing Times, Multiple Failure Modes and Finite Buffer Capacity Part II: The Decomposition; R. Levantesi, et al. 10. Due-Time Performance of Production Systems with Markovian Machines; Jingshan Li, S.M. Meerkov. 11. Analysis of Two-Valve Fluid Flow Systems with General Repair Times; Ü.Özdoru, T. Altiok. 12. Shastic Lead Time Models for Supply Chain Networks; N.R. Srinivasa Raghavan, N. Viswanadham. 13. Modeling and Performance Evaluation of Base-Sk Controlled Assembly Systems; M. Sbiti, et al. 14. Designing Manufacturing Cells Using a Tabu Search Approach; K. Spiliopoulos, S. Sofianopoulou. 15. State-Space Modeling and Analysis of Pull-Controlled Production Systems; B. Tan. 16. Using Fluid Solutions in Dynamic Scheduling; M.H. Veatch. Index.