Abstract
In this study, two goal programming models are proposed for balancing resource dependent assembly lines with precise and fuzzy goals in order to provide flexibility for decision makers based on their decision environment and preferred priorities. Three conflicting goals, namely, total number of utilized workstations, cycle time and total cost of additional resources (equipment and assistant workers) are considered. The proposed models are validated on illustrative examples and scenario analyses are performed with different priority levels of the goals. The results show that the proposed goal programming formulations are valid and useful for balancing resource dependent assembly lines.
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CITATION STYLE
Atasagun, Y., Döyen, A., & Atasagun, G. C. (2024). TRADITIONAL AND FUZZY GOAL PROGRAMMING APPROACHES FOR RESOURCE DEPENDENT ASSEMBLY LINE BALANCING PROBLEM. Numerical Algebra, Control and Optimization, 14(1), 221–233. https://doi.org/10.3934/naco.2023003
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