Journal
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
Volume 27, Issue 7, Pages 690-706Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/0951192X.2013.834473
Keywords
assemble to order; genetic algorithm; express parallel line; mixed-model assembly lines
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Funding
- University of Tehran [8109002/1/07]
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Flexibility in product mix and in promise date to customers are two traits which companies have to attain in order to stay powerfully in modern competitive market. This article proposes a particular parallel mixed-model assembly line balancing problem in an assemble-to-order environment for the first time. One of the lines works in conventional condition, the other one works faster and both of them produce similar products. The mixed-model assembly lines are useful to have varied and flexible products and also considering assemble-to-order environment enables companies to have higher flexibility in product mix and lead time (promise date). In this regard, a mathematical model that reflects real-world assembly line condition is developed for the problem. A hybrid genetic algorithm which minimises the weighted cycle time is proposed to solve such a complex problem. Finally, the proposed solution approach is implemented to solve a case study reflecting actual industry environment.
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