Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 52, Issue 12, Pages 3665-3687Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2013.879618
Keywords
agent-based ant colony optimisation; artificial intelligence; assembly line balancing; meta-heuristics; mixed-model parallel two-sided assembly lines
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Funding
- Balikesir University
- Turkish Council of Higher Education
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Growing interests from customers in customised products and increasing competitions among peers necessitate companies to configure their manufacturing systems more effectively than ever before. We propose a new assembly line system configuration for companies that need intelligent solutions to satisfy customised demands on time with existing resources. A mixed-model parallel two-sided assembly line system is introduced based on the parallel two-sided assembly line system previously proposed in the literature. The mixed-model parallel two-sided assembly line balancing problem is illustrated with examples from the perspective of simultaneous balancing and sequencing. An agent-based ant colony optimisation algorithm is proposed to solve the problem. This algorithm is the first attempt in the literature to solve an assembly line balancing problem with an agent-based ant colony optimisation approach. The algorithm is illustrated with an example and its operational procedures and principles are explained and discussed.
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