International Journal of Production Research volume 56, issue 8, P3025-3042 2017 DOI: 10.1080/00207543.2017.1394599 View full text
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Margaretha Gansterer, Richard F. Hartl

Abstract: In this study, we consider balancing problems of one-and two-sided assembly lines with real-world constraints like task or machine incompatibilities. First, we study the one-sided assembly line balancing problem (ALBP) with a limited number of machine types per workstation. Using a genetic algorithm (GA), we find optimal results for real-world instances. A set of larger test cases is used to compare two well-established solution approaches, namely GA and tabu search (TS). Additionally, we apply a specific diff…

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