Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic
碩士 === 國立臺北科技大學 === 工業工程與管理系 === 106 === In recent years, no-wait flowshop sccheduling producrion has been widlely applied in manufacturing. For instance, the food processing industry, the steelmaking process, the cementmaking process, and even the distribution of hospital emergency rooms and beds,...
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ndltd-TW-106TIT050310202019-05-16T01:40:25Z http://ndltd.ncl.edu.tw/handle/3q5mw5 Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic 無等待流程型工廠排程之混合萬用啟發式演算法 Wei-Ming Chao 趙威銘 碩士 國立臺北科技大學 工業工程與管理系 106 In recent years, no-wait flowshop sccheduling producrion has been widlely applied in manufacturing. For instance, the food processing industry, the steelmaking process, the cementmaking process, and even the distribution of hospital emergency rooms and beds, is closely related to this kind of production method. Generally speaking, achieving good effectiveness and efficiency is a challenge in no-wait flow shop scheduling problem for this scheduling problem. So this paper proposes a hybrid metaheuristic called IGGA algorithm that can effectively solve this problem and optimization criterion is the minimization of the total completion time (TCT), Compared with four kinds of different heuristics, our IGGA heuristic can achieve greater effectiveness and better results on Taillard’s benchmarks. Experimental results show that the IGGA algorithm significantly outperforms the (Current and Future Idle Time, CFI) heuristic. 應國卿 2018 學位論文 ; thesis 73 zh-TW |
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碩士 === 國立臺北科技大學 === 工業工程與管理系 === 106 === In recent years, no-wait flowshop sccheduling producrion has been widlely applied in manufacturing. For instance, the food processing industry, the steelmaking process, the cementmaking process, and even the distribution of hospital emergency rooms and beds, is closely related to this kind of production method. Generally speaking, achieving good effectiveness and efficiency is a challenge in no-wait flow shop scheduling problem for this scheduling problem. So this paper proposes a hybrid metaheuristic called IGGA algorithm that can effectively solve this problem and optimization criterion is the minimization of the total completion time (TCT), Compared with four kinds of different heuristics, our IGGA heuristic can achieve greater effectiveness and better results on Taillard’s benchmarks. Experimental results show that the IGGA algorithm significantly outperforms the (Current and Future Idle Time, CFI) heuristic.
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應國卿 |
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應國卿 Wei-Ming Chao 趙威銘 |
author |
Wei-Ming Chao 趙威銘 |
spellingShingle |
Wei-Ming Chao 趙威銘 Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic |
author_sort |
Wei-Ming Chao |
title |
Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic |
title_short |
Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic |
title_full |
Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic |
title_fullStr |
Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic |
title_full_unstemmed |
Scheduling No-Wait Flowshops Using a Hybrid Metaheuristic |
title_sort |
scheduling no-wait flowshops using a hybrid metaheuristic |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/3q5mw5 |
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