Abstract
In the era of increasing product customization, mixed-model assembly lines (MMALs) stand out, enabling the efficient production of diverse products. However, products with work-intensive characteristics may result in work overload when sequenced closely. The Car Sequencing Problem (CSP) utilizes spacing rules to address this challenge in MMALs. This paper presents a flexible CSP mixed-integer programming model within the context of flexible (fuzzy) linear programming. The results demonstrate that the proposed method empowers decision-makers to effectively manage workloads and prevent intolerable work overloads in MMALs through efficient control of sequencing rule violations.
Published Version
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