Dynamic local focusing approach for production scheduling problems

Gu Ping, Lou Yajie, Zhang Xuerui, Shigeru Fujimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although decomposition procedure is a common approach to handle computational complexity which is caused by large scale production scheduling problems, in order to extend the applicability of the decomposition approach, the overall problem should be decomposed on which criterion is always a problem. Also how to improve decomposition approach's computational efficiency and resultant effectiveness is still a challenging task in this field. With the purpose of improving decomposition approach's efficiency and decreasing computational complexity for job shop scheduling problems, a new dynamic local focusing approach which has a machine-based divided criterion focused on the longest active chain is proposed in this paper. Not liking the used decomposition procedure, the proposed one does not decompose a job shop into cells at the very beginning. It dynamically classifies the machines, which process operations on the identified longest active chain of the whole problem as one focused cell (decomposed sub-problem). The schedule is improved by redefining, adjusting and solving the focused cell schedule which is updated iteratively with the entire schedule's longest active chain in this dynamic procedure. The proposed approach is tested on make-span minimum benchmark job shop scheduling problems. Test results show that the algorithm is capable of efficiently generating good schedules.

Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Pages466-471
Number of pages6
DOIs
Publication statusPublished - 2007
Event3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 - Scottsdale, AZ
Duration: 2007 Sep 222007 Sep 25

Other

Other3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
CityScottsdale, AZ
Period07/9/2207/9/25

Fingerprint

Scheduling
Decomposition
Computational complexity
Computational efficiency
Job shop scheduling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ping, G., Yajie, L., Xuerui, Z., & Fujimura, S. (2007). Dynamic local focusing approach for production scheduling problems. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 (pp. 466-471). [4341798] https://doi.org/10.1109/COASE.2007.4341798

Dynamic local focusing approach for production scheduling problems. / Ping, Gu; Yajie, Lou; Xuerui, Zhang; Fujimura, Shigeru.

Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 466-471 4341798.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ping, G, Yajie, L, Xuerui, Z & Fujimura, S 2007, Dynamic local focusing approach for production scheduling problems. in Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007., 4341798, pp. 466-471, 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007, Scottsdale, AZ, 07/9/22. https://doi.org/10.1109/COASE.2007.4341798
Ping G, Yajie L, Xuerui Z, Fujimura S. Dynamic local focusing approach for production scheduling problems. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 466-471. 4341798 https://doi.org/10.1109/COASE.2007.4341798
Ping, Gu ; Yajie, Lou ; Xuerui, Zhang ; Fujimura, Shigeru. / Dynamic local focusing approach for production scheduling problems. Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. pp. 466-471
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