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Simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines
Authors:Ibrahim Kucukkoc  David Z Zhang
Affiliation:1. College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter, UK;2. Department of Industrial Engineering, Balikesir University, Balikesir, TurkeyI.Kucukkoc@exeter.ac.uk
Abstract: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.
Keywords:mixed-model parallel two-sided assembly lines  assembly line balancing  agent-based ant colony optimisation  meta-heuristics  artificial intelligence
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