本次研究是首次對於具有順序相依整備時間之流程型製造單元重工排程進行研究。單元式製造排程在原始條件下已為一NP-hard問題,加入重工條件使我們的問題能更符合在現實的生產環境,但也使問題求解的複雜度增加。近年來有研究學者觀察人類歷史中帝國與殖民地之資源競爭現象,進而提出了帝國主義競爭演算法(Imperialist Competitive Algorithm, ICA),其求解的表現也相當優越,但ICA的主要問題在於常陷於區域最佳解。本研究將對ICA的移動方式進行修改,並運用修改型帝國主義演算法求解允許重工之流程型製造單元排程問題,經由實驗比較本修改型帝國主義演算法與原始帝國主義演算法之間的優劣。
This thesis examined the flowshop manufacturing cell reworking scheduling problem (FMCRSP) with sequence-dependent family setup times. The present study is among the first to investigate flowshop manufacturing cell scheduling problem with reworking consideration, though it is a necessary production constraint in many real-world applications. In view of the strongly NP-hard nature of this problem, a new nature-inspired optimization method, called Imperialist Competition Algorithm (ICA), was proposed to solve it. In this paper, we compared the revised ICA with basic ICA for the FMCRSP with makespan criterion.