Operational fixed job scheduling problem under spread time constraints: a branch-and-price algorithm

Date

2009-01-01

Author

Solyali, O.
Ozpeynirci, O.

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This study addresses the operational fixed job scheduling problem under spread time constraints. The problem is to select a subset of jobs having fixed ready times and deadlines for processing on identical parallel machines such that total weight of the selected jobs is maximised. We first give a mathematical formulation of the problem and then reformulate it using Dantzig-Wolfe decomposition. We propose a branch-and-price algorithm that works on the reformulation of the problem. Computational results show that our algorithm is far superior to its competitor in the literature. It solves instances that could not be solved in one hour CPU time in less than a second and is able to solve large-scale instances in reasonable times which make it a computationally viable tool for decision-making.

Subject Keywords

Management Science and Operations Research, Strategy and Management, Industrial and Manufacturing Engineering

URI

https://hdl.handle.net/11511/64770

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

DOI

https://doi.org/10.1080/00207540701666204

Collections

Department of Industrial Engineering, Article

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Citation Formats

O. Solyali and O. Ozpeynirci, “Operational fixed job scheduling problem under spread time constraints: a branch-and-price algorithm,” INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, pp. 1877–1893, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64770.