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Multi-level lot sizing and scheduling : methods for capacitated, dynamic, and deterministic models

Author: Alf Kimms
Publisher: Heidelberg : Physica-Verlag, ©1997.
Series: Production and logistics.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
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This volume presents models and methods for multi-level lot sizing and scheduling. Topics covered include: a literature review, problem parallel machines, multiple resources, partially renewable  Read more...

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Additional Physical Format: Online version:
Kimms, Alf.
Multi-level lot sizing and scheduling.
Heidelberg : Physica-Verlag, ©1997
(OCoLC)606139644
Online version:
Kimms, Alf.
Multi-level lot sizing and scheduling.
Heidelberg : Physica-Verlag, ©1997
(OCoLC)608610736
Document Type: Book
All Authors / Contributors: Alf Kimms
ISBN: 3790809675 9783790809671
OCLC Number: 36399415
Description: xxi, 355 pages : illustrations ; 24 cm.
Contents: 1 Introduction.- 1.1 Problem Context.- 1.2 Problem Outline and General Issues.- 1.3 Case Descriptions.- 1.3.1 Eastman Kodak Company.- 1.3.2 Owens-Corning Fiberglas Corporation.- 1.4 Current Practice and Motivation.- 1.5 Chapter Synopsis.- 2 Literature Review.- 2.1 Scope of the Review.- 2.2 Contributions of General Interest.- 2.3 Dynamic Demand, Unlimited Capacity.- 2.4 Dynamic Demand, Scarce Capacity.- 2.5 Intermediate Results.- 3 Problem Specifications.- 3.1 Basic Assumptions.- 3.2 Multiple Machines.- 3.3 Problem Insights.- 3.3.1 Complexity Considerations.- 3.3.2 Derived Parameters.- 3.3.3 Another Point of View: Gozinto-Trees.- 3.3.4 Initial Inventory.- 3.3.5 Schedules.- 3.3.6 Lot Splitting.- 3.3.7 Some Valid Constraints.- 3.3.8 Postprocessing.- 3.4 Parallel Machines.- 3.5 Multiple Resources.- 3.6 Partially Renewable Resources.- 4 Instance Generation.- 4.1 Methods.- 4.1.1 Generation of Gozinto-Structures.- 4.1.2 Generation of External Demand.- 4.1.3 Generation of Capacity Limits.- 4.1.4 Generation of Holding and Setup Costs.- 4.1.5 Generating PLSP-PM Instances.- 4.1.6 Generating PLSP-MR Instances.- 4.1.7 Generating PLSP-PRR Instances.- 4.1.8 Some Remarks.- 4.2 Experimental Design for the PLSP-MM.- 4.2.1 Constant Parameters.- 4.2.2 Systematically Varied Parameters.- 4.2.3 Randomly Generated Parameters.- 4.3 A Comparison of Computing Machines.- 5 Lower Bounds.- 5.1 Network Representations.- 5.1.1 A Simple Plant Location Representation.- 5.1.2 Experimental Evaluation.- 5.2 Capacity Relaxation.- 5.2.1 Motivation for Relaxing Capacity Constraints.- 5.2.2 Basic Enumeration Scheme.- 5.2.3 Branching Rules.- 5.2.4 Bounding Rules.- 5.2.5 Experimental Evaluation.- 5.3 Lagrangean Relaxation.- 5.3.1 Experimental Evaluation.- 5.4 Summary of Evaluation.- 6 Multiple Machines.- 6.1 Unsuccessful Attempts.- 6.1.1 LP-Based Strategies.- 6.1.2 Improvement Schemes.- 6.1.3 Data Perturbation.- 6.1.4 Searching in the Method Parameter Space.- 6.2 Common Construction Principles.- 6.3 Randomized Regret Based Sampling.- 6.3.1 An Introduction to Random Sampling.- 6.3.2 Randomized Regret Based Priority Rules.- 6.3.3 Tuning the Method Parameters.- 6.3.4 Modifications of the Construction Scheme.- 6.3.5 An Example.- 6.3.6 Experimental Evaluation.- 6.4 Cellular Automata.- 6.4.1 An Introduction to Cellular Automata.- 6.4.2 Masked Setup State Selection.- 6.4.3 An Example.- 6.4.4 Experimental Evaluation.- 6.5 Genetic Algorithms.- 6.5.1 An Introduction to Genetic Algorithms.- 6.5.2 Problem Representation.- 6.5.3 Setup State Selection Rules.- 6.5.4 Fitness Values.- 6.5.5 Genetic Operators.- 6.5.6 The Working Principle in a Nutshell.- 6.5.7 An Example.- 6.5.8 Experimental Evaluation.- 6.6 Disjunctive Arc Based Tabu Search.- 6.6.1 An Introduction to Tabu Search.- 6.6.2 The Data Structure.- 6.6.3 Tabu Search.- 6.6.4 Intensification of the Search.- 6.6.5 Modifications of the Construction Scheme.- 6.6.6 An Example.- 6.6.7 Experimental Evaluation.- 6.7 Demand Shuffle.- 6.7.1 Basic Ideas.- 6.7.2 The Data Structure.- 6.7.3 Data Structure Manipulations.- 6.7.4 Modifications of the Construction Scheme.- 6.7.5 An Example.- 6.7.6 Experimental Evaluation.- 6.8 Summary of Evaluation.- 6.9 Some Tests with Large Instances.- 7 Parallel Machines.- 7.1 Related Topics: Job Scheduhng.- 7.2 A Demand Shuffle Adaption.- 7.3 Preliminary Experimental Evaluation.- 8 Multiple Resources.- 8.1 Related Topics: Project Scheduling.- 8.2 A Demand Shuffle Adaption.- 8.3 Preliminary Experimental Evaluation.- 9 Partially Renewable Resources.- 9.1 Related Topics: Course Scheduling.- 9.2 A Demand Shuffle Adaption.- 9.3 Preliminary Experimental Evaluation.- 10 Rolling Planning Horizon.- 10.1 Literature Review.- 10.2 Stability Measures.- 10.3 Pitfalls: Initial Inventory.- 11 Method Selection Guidelines.- 11.1 Basic Ideas.- 11.2 Instance Characterization.- 12 Research Opportunities.- 12.1 Extensions.- 12.2 Linkages to Other Areas.- 13 Conclusion.- A Lower Bounds for the PLSP-MM.- A.l LP-Relaxation: PLSP-Model.- A.2 LP-Relaxation: Plant Location Model.- A.3 Capacity Relaxation.- A. 4 Lagrangean Relaxation.- B Upper Bounds for the PLSP-MM.- B. l Randomized Regret Based Sampling.- B.2 Cellular Automaton.- B.3 Genetic Algorithm.- B.4 Disjunctive Arc Based Tabu Search.- B.5 Demand Shuffle.- C PLSP-PM: Demand Shuffle.- D PLSP-MR: Demand Shuffle.- E PLSP-PRR: Demand Shuffle.- List of Tables.- List of Figures.
Series Title: Production and logistics.
Responsibility: Alf Kimms.
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