期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 51, 期 17, 页码 5292-5308出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2013.807955
关键词
distributed assembly flowshop; variable neighbourhood descent
资金
- Spanish Ministry of Science and Innovation [DPI2012-36243-C02-01, DPI2011-27633]
Nowadays, improving the management of complex supply chains is a key to become competitive in the twenty-first century global market. Supply chains are composed of multi-plant facilities that must be coordinated and synchronised to cut waste and lead times. This paper proposes a Distributed Assembly Permutation Flowshop Scheduling Problem (DAPFSP) with two stages to model and study complex supply chains. This problem is a generalisation of the Distributed Permutation Flowshop Scheduling Problem (DPFSP). The first stage of the DAPFSP is composed of f identical production factories. Each one is a flowshop that produces jobs to be assembled into final products in a second assembly stage. The objective is to minimise the makespan. We present first a Mixed Integer Linear Programming model (MILP). Three constructive algorithms are proposed. Finally, a Variable Neighbourhood Descent (VND) algorithm has been designed and tested by a comprehensive ANOVA statistical analysis. The results show that the VND algorithm offers good performance to solve this scheduling problem.
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