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.
"synopsis" may belong to another edition of this title.
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).
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
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).
"About this title" may belong to another edition of this title.
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