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Developing mathematical model and optimization algorithm for designing energy efficient semi-automated assembly line
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DOI：10.1016/j.cie.2020.106768.png)
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Abstract
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In this study, a new extension of the semi-automated assembly line designing problem is presented. The main difference between this paper and existing work is that the energy consumption, smoothness index and total cost are all taken into consideration. The tasks can be performed by more than one format in the semi-automated assembly line, which means the operation time and energy consumption of tasks depend on the allocated stations. To obtain the trade-off among three objectives. First, a mathematical model with constraints is provided. Then, an improved whale optimization algorithm (IWOA) is presented, the chaotic maps, variable neighborhood search (VNS) and mutation are adopted to enhance the algorithm performance. In order to demonstrate the effectiveness of the algorithm and employed mechanisms, numerical comparison experiments are accordingly conducted. The results show that the specific designed algorithm outperforms five other well-known algorithms in solving the energy-oriented semi-automated assembly line designing problem. At last, the managerial insights are provided based on the sensitivity analysis. And a real case derives from car floor assembly system is used for validation of the proposed model and algorithm.
Keywords:
Semi-automated assembly line
Assembly line balancing problem
Energy efficient manufacturing
Improved whale optimization algorithm
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