期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 59, 期 12, 页码 3617-3632出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2020.1748906
关键词
combinatorial optimisation; job sequencing and tool switching; multicommodity flow; integer programming; linear programming relaxation
资金
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (CAPES) [001]
- FAPESP [2018/15417-8, 2016/01860-1]
- CNPq [423694/2018-9, 303736/2018-6, 303144/2014-9]
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [18/15417-8] Funding Source: FAPESP
A new multicommodity flow mathematical model for the Job Sequencing and Tool Switching Problem (SSP) is proposed, with computational tests showing better performance in execution time and solving optimization problems compared to existing literature models.
In this paper a new multicommodity flow mathematical model for the Job Sequencing and Tool Switching Problem (SSP) is presented. The proposed model has an LP relaxation lower bound equal to the number of tools minus the tool machine's capacity. Computational tests were performed comparing the new model with the models of the literature. The proposed model performed better, both in execution time and in the number of instances solved to optimality.
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