Academic Journal of Engineering and Technology Science, 2020, 3(6); doi: 10.25236/AJETS.2020.030605.
Lingqiao Chen1,*, Gengjun Gao2
1 Shanghai Maritime University, Shanghai 201306, China
2 Shanghai Maritime University, Shanghai 201306, China
Reasonable remanufacturing workshop scheduling can not only effectively improve the economic benefits of remanufacturing enterprises, but also bring good social benefits. The scheduling process of remanufacturing workshops is often affected by uncertain factors, and enterprises need to weigh and consider multiple optimization indicators of scheduling. In order to study the multi-index scheduling optimization problem of the remanufacturing workshop based on the uncertainty of quality status and processing time of waste parts, random numbers and triangular fuzzy numbers are used to represent the uncertainty of quality status and processing time. The maximum completion time, the processing cost and the minimum machine load balance are the goals. A multi-objective scheduling model with fuzzy operating time is established. The fuzzy multi-objective planning is transformed into a clear multi-objective planning through model conversion, and then solved by the NSGA-II algorithm. Using AHP method to make multi-objective decision-making, select the most satisfactory scheduling plan from the pareto optimal solution set. Finally, the correctness of the model and the effectiveness of the algorithm are verified by simulation examples. The result is: considering the uncertainty of the quality status of the remanufactured parts has a better control over the processing time. Compared with not considering the uncertainty of the quality status, the maximum completion time can be greatly reduced; the decision maker can give it according to his own preference Judgment matrix of the importance of each index, so as to select the most satisfactory scheduling plan in the pareto optimal solution set.
uncertainty, remanufacturing, multi-objective scheduling
Wenhao HUANG. Multi-objective scheduling in remanufacturing workshop under uncertain environment. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 6: 35-45. https://doi.org/10.25236/AJETS.2020.030605.
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