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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Main Authors: Wei-Ming Chao, 趙威銘
Other Authors: 應國卿
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/3q5mw5
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spelling 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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description 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.
author2 應國卿
author_facet 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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