Decision-making methods for remanufacturing process programs considering time uncertainty

doi:10.16731/j.cnki.1671-3133.2024.10.015

Abstract

Abstract: Aiming at the problems that the complex failure state of retir parts and the different capabilities of equipments make it difficult to make decisions on remanufacturing process programs,a decision-making method for remanufacturing process programs considering time uncertainty was proposed. Analyzing the uncertainty of the remanufacturing process of retired parts and its time,a fuzzy neural network prediction method was proposed to improve the time of remanufacturing process considering the failure state;a decision-making model of remanufacturing process program was constructed with the optimization objectives of time,cost and energy consumption,and a genetic-particle swarm optimization algorithm was adopted for rapid solution;the effectiveness and practicability of the method were verified by taking the decision-making process of remanufacturing process program of retired rolls as an example.

Key words: remanufacturing, uncertainty of time, process time prediction, improved fuzzy neural network, decision-making

CLC Number:

TH17

WANG Lei, LIU Zheng, GUO Yuyao, ZHANG Zelin, XIA Xuhui. Decision-making methods for remanufacturing process programs considering time uncertainty[J]. Modern Manufacturing Engineering, 2024, 529(10): 113-122.

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