Job Shop Scheduling with Consideration of Due Dates [electronic resource] : Potentials of Local Search Based Solution Techniques /
Kuhpfahl, Jens.author.
Jens Kuhpfahl analyzes the job shop scheduling problem with minimizing the total weighted tardiness as objective. First, he provides a suitable graph representation based on a disjunctive graph formulation. Second, several key components of local search procedures are analyzed and enhanced. The resulting outputs of these investigations contribute to the development of a new solution procedure whose performance quality leads to superior computational results. Contents Job Shop Scheduling – Formulation und Modelling Neighborhood Definitions for the JSPTWT Neighbor Evaluation Procedures Solving the JSPTWT – a new Solution Procedure Target Groups Researchers and students focusing on machine scheduling, operative production planning and control, as well as the development of powerful solution procedures Practitioners in these areas The Author Dr. Jens Kuhpfahl wrote his dissertation under the supervision of Prof. Dr. Christian Bierwirth at the Chair of Production and Logistics at the University of Halle (Saale).
Description based upon print version of record.
Foreword; Acknowlegdement; Contents; List of Figures; List of Tables; List of Notations; List of Abbreviations; Chapter 1 Introduction; 1.1 Aims and Contributions of the Thesis; 1.2 Overview of the Thesis; 1.3 Publications; Chapter 2 Job Shop Scheduling - Formulation and Modeling; 2.1 Problem Structure; 2.2 Classification into the Scheduling Theory; 2.3 Mathematical Model and Complexity; 2.4 The Disjunctive Graph Model; 2.5 The Concept of the Critical Tree; 2.6 Exemplification on the instance ft06 (f = 1.3); Chapter 3 Literature Review; 3.1 Exact Algorithms; 3.2 Dispatching Rules
3.3 Shifting Bottleneck Heuristic3.4 Local Search based Algorithms and Techniques; 3.5 Other Heuristic Approaches; 3.6 Hybrid Approaches; 3.7 Summary; Chapter 4 Neighborhood Definitions for the JSPTWT; 4.1 The Basic Concept of Neighborhood Search; 4.2 Existing Neighborhoods; 4.3 New Neighborhoods; 4.4 Characteristics of the proposed Neighborhoods; 4.4.1 Feasibility Property; 4.4.2 Connectivity Property; 4.4.3 Estimate of the Size of the Neighborhoods; 4.5 Performance Analysis; 4.5.1 Test Suite; 4.5.2 Local Search with a Single Neighborhood Operator
4.5.3 Local Search with Pairs of Neighborhood Operators4.5.4 Local Search with all Neighborhood Operators; 4.6 Summary; Chapter 5 Neighbor Evaluation Procedures in Local Search based Algorithms for solving the JSPTWT; 5.1 Basic Principles; 5.2 A Lower Bound Procedure for the Applica-tion of the CET Neighborhood; 5.3 A Lower Bound Procedure for the Applica-tion of the SCEI Neighborhood; 5.4 A new approach: Heads Updating; 5.5 Performance Test; 5.6 Summary; Chapter 6 Solving the JSPTWT - a new Solution Procedure; 6.1 Metaheuristic Concepts; 6.1.1 Basic Concept of Metaheuristics
6.1.2 Some Metaheuristics6.1.3 The Fitness Landscape: a brief Side Trip; 6.2 Algorithmic Concept for a new Solution Pro-cedure; 6.2.1 Motivation and Overview of the Algorithmic Concept; 6.2.2 Construction Algorithm; 6.2.3 Improvement Algorithm; 6.2.4 Adaptive Components; 6.2.5 Configuration and Parameter Values; Chapter 7 Computational Study; 7.1 Benchmark Instances of the JSPTWT; 7.1.1 Modification of JSP Instances; 7.1.2 Standard Benchmark Set of Singer and Pinedo; 7.1.3 Lawrence's Instances; 7.2 Other Objective Functions; 7.2.1 JSP with minimizing the Total Flow Time
7.2.2 JSP with minimizing the Number of Tardy Jobs7.3 Summary; Chapter 8 Conclusion; Bibliography; Appendix A Applying Neighborhood Operators: the example ft06 (f = 1.3); Appendix B Overview of considered Dispatching Rules; Appendix C Computational Results from the Literature; Appendix D Analysis of the EGRASP result for the problem instance orb08 (f = 1.6); Appendix E Computational Results for the JSPTWU
Includes bibliographical references.
Jens Kuhpfahl analyzes the job shop scheduling problem with minimizing the total weighted tardiness as objective. First, he provides a suitable graph representation based on a disjunctive graph formulation. Second, several key components of local search procedures are analyzed and enhanced. The resulting outputs of these investigations contribute to the development of a new solution procedure whose performance quality leads to superior computational results. Contents Job Shop Scheduling – Formulation und Modelling Neighborhood Definitions for the JSPTWT Neighbor Evaluation Procedures Solving the JSPTWT – a new Solution Procedure Target Groups Researchers and students focusing on machine scheduling, operative production planning and control, as well as the development of powerful solution procedures Practitioners in these areas The Author Dr. Jens Kuhpfahl wrote his dissertation under the supervision of Prof. Dr. Christian Bierwirth at the Chair of Production and Logistics at the University of Halle (Saale).
Production management.
Operations research.
Decision making.
Operations Management.
Operations Research/Decision Theory.