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題名 開發混合式巨集啟發式方法求解具順序相依整備時間之非等效平行機台排程問題
Hybrid Meta-Heuristics for the Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times
作者 黃文品
Huang, Wen Pin
貢獻者 陳春龍
Chen, Chuen Lung
黃文品
Huang, Wen Pin
關鍵詞 總延遲工件權重數
非等效平行機台問題
順序相依整備時間
變動鄰域尋優法
禁忌演算法
Weighted Number of Tardy Jobs
Unrelated Parallel Machines
Sequence-Dependent Setup
Variable Neighborhood Descent
Tabu Search
日期 2007
上傳時間 18-Sep-2009 14:38:26 (UTC+8)
摘要 本研究將探討非等效平行機台問題中具備順序相依整備時間及不同開始工作時間(Unequal ready-time)之情況,並以最小化總延遲工件權重數為目標值,其目的在改善非等效平行機台問題應用於實際產業中製造環境裡所面對的各項挑戰,如印刷電路板的鑽孔和半導體的測試製程。因本研究欲求解之問題是屬於NP - Hard problems 性質之尋優問題,故利用啟發式方法(heuristics)求解為合適的選擇。此外,本研究計畫開發混合式巨集啟發式方法來求解非等效平行機台問題,主要以禁忌搜尋法為主,在鄰域的搜尋上,也藉由變動鄰域尋優法能夠透過鄰域轉換的機制,進而找出更多好的解。由於啟發式方法對於尋優問題常需花費許多時間來計算才能獲得更好的解,為確保增進求解效率與品質,將針對問題特性開發數種初始解產生法,並也嘗試定義幾個能夠減少尋找鄰近解之鄰域。在後續求解改善的過程中,主要整合變動鄰域(VND)及禁忌(TS)巨集啟發式演算法搜尋最佳解。此外,為了評估本文推導之演算法效能,本研究利用設定之條件隨機產生適量模擬現場狀況的測試情境,進而比較本研究所提出之混合式巨集啟發式方法及標準禁忌搜尋法在不同情境下之表現。
The problem considered in this paper is a set of independent jobs on unrelated parallel machines with sequence-dependent setup times and with unequal ready times so as to minimize total weighted tardy jobs. These problems can be found in real-life manufacturing environments, such as PCB fabrication drilling operations and semiconductor wafer manufacturing dicing. Since the problems are NP-hard in the strong sense, heuristics are an acceptable practice to finding good solutions.
A hybrid meta-heuristics are proposed to solve this scheduling problem. The proposed heuristics belong to a type of solution improvement heuristic; therefore, the heuristics start with an effective initial feasible solution then a meta-heuristic is applied to improve the solution. To enhance both the efficiency and efficacy of the heuristics, several different initial solution generators, based on the characteristics of problems, are developed. The meta-heuristic is a hybrid heuristic integrating the principles of Variable Neighborhood Descent approach (VND) and Tabu Search (TS). In order to evaluate the performance of the proposed heuristics, two sets of large number test scenarios will be designed to simulate practical shop floor problems. Computational experiments will be performed to compare the performance of the proposed heuristics, and a basic tabu search algorithm. The results show the proposed heuristic perform better than the basic tabu search algorithm.
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2. Armentano, V.A., and Yamashita, D.S. (2000). “Tabu search for scheduling on identical parallel machines to minimize mean tardiness”. Journal of Intelligent Manufacturing, 11, 453–460.
3. Azizoglu. M. and Kirka O. (1999). “Scheduling jobs on unrelated parallel machines to minimize regular total cost functions”. IIE Transactions, 31, pp.153–159.
4. Bilge, Ü., Kıraç, F., Kurtulan, M., and Pekgün, P. (2004). “A tabu search algorithm for parallel machine total tardiness problem”. Computers and Operations Research, 31, 397–414.
5. Bräysy, O., (2003). “A reactive variable neighborhood search for the vehicle-routing problem with time windows”. INFORMS Journal on Computing, 15, 347–368.
6. Cao, D., Chen, M., Wan, G. (2005). “Parallel machine selection and job scheduling to minimize machine cost and job tardiness”. Computers and Operations Research, 32, 1995–2012.
7. Chen, C.L. and Chen, C.L. (2006), “Designing a Tabu Search Algorithm for Unrelated Parallel Machines Problem with Total Weighted Tardy Jobs as the Objective”. The 36th CIE Conference on Computers & Industrial Engineering, pp. 1128-1135.
8. Chen, J.F. (2006). “Minimization of maximum tardiness on unrelated parallel machines with process restrictions and setups”. International Journal of Advanced Manufacturing Technology, 29, 557–563.
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描述 碩士
國立政治大學
資訊管理研究所
94356014
96
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0943560141
資料類型 thesis
dc.contributor.advisor 陳春龍zh_TW
dc.contributor.advisor Chen, Chuen Lungen_US
dc.contributor.author (Authors) 黃文品zh_TW
dc.contributor.author (Authors) Huang, Wen Pinen_US
dc.creator (作者) 黃文品zh_TW
dc.creator (作者) Huang, Wen Pinen_US
dc.date (日期) 2007en_US
dc.date.accessioned 18-Sep-2009 14:38:26 (UTC+8)-
dc.date.available 18-Sep-2009 14:38:26 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 14:38:26 (UTC+8)-
dc.identifier (Other Identifiers) G0943560141en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/35286-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 94356014zh_TW
dc.description (描述) 96zh_TW
dc.description.abstract (摘要) 本研究將探討非等效平行機台問題中具備順序相依整備時間及不同開始工作時間(Unequal ready-time)之情況,並以最小化總延遲工件權重數為目標值,其目的在改善非等效平行機台問題應用於實際產業中製造環境裡所面對的各項挑戰,如印刷電路板的鑽孔和半導體的測試製程。因本研究欲求解之問題是屬於NP - Hard problems 性質之尋優問題,故利用啟發式方法(heuristics)求解為合適的選擇。此外,本研究計畫開發混合式巨集啟發式方法來求解非等效平行機台問題,主要以禁忌搜尋法為主,在鄰域的搜尋上,也藉由變動鄰域尋優法能夠透過鄰域轉換的機制,進而找出更多好的解。由於啟發式方法對於尋優問題常需花費許多時間來計算才能獲得更好的解,為確保增進求解效率與品質,將針對問題特性開發數種初始解產生法,並也嘗試定義幾個能夠減少尋找鄰近解之鄰域。在後續求解改善的過程中,主要整合變動鄰域(VND)及禁忌(TS)巨集啟發式演算法搜尋最佳解。此外,為了評估本文推導之演算法效能,本研究利用設定之條件隨機產生適量模擬現場狀況的測試情境,進而比較本研究所提出之混合式巨集啟發式方法及標準禁忌搜尋法在不同情境下之表現。zh_TW
dc.description.abstract (摘要) The problem considered in this paper is a set of independent jobs on unrelated parallel machines with sequence-dependent setup times and with unequal ready times so as to minimize total weighted tardy jobs. These problems can be found in real-life manufacturing environments, such as PCB fabrication drilling operations and semiconductor wafer manufacturing dicing. Since the problems are NP-hard in the strong sense, heuristics are an acceptable practice to finding good solutions.
A hybrid meta-heuristics are proposed to solve this scheduling problem. The proposed heuristics belong to a type of solution improvement heuristic; therefore, the heuristics start with an effective initial feasible solution then a meta-heuristic is applied to improve the solution. To enhance both the efficiency and efficacy of the heuristics, several different initial solution generators, based on the characteristics of problems, are developed. The meta-heuristic is a hybrid heuristic integrating the principles of Variable Neighborhood Descent approach (VND) and Tabu Search (TS). In order to evaluate the performance of the proposed heuristics, two sets of large number test scenarios will be designed to simulate practical shop floor problems. Computational experiments will be performed to compare the performance of the proposed heuristics, and a basic tabu search algorithm. The results show the proposed heuristic perform better than the basic tabu search algorithm.
en_US
dc.description.tableofcontents 第一章 緒論 -1-
1.1研究動機 -1-
1.2研究目的 -4-
1.3研究範圍 -5-
1.4研究架構與流程 -5-
第二章 文獻探討 -8-
2.1排程定義之相關研究 -8-
2.1.1生產排程之種類 -9-
2.1.2排程問題之作業型態 -9-
2.1.3排程績效衡量標準 -12-
2.2求解非等效平行機台排程問題之相關研究 -13-
2.3考量開始工作時間排程問題之相關研究 -16-
第三章 研究方法 -22-
3.1 問題描述與假設條件 -22-
3.2 初始解產生法(Initial solution generators) -23-
3.3 鄰域結構(Neighborhood structures) -28-
3.4 混合巨集啟發式演算法之建構 -29-
3.4.1 變動鄰域尋優法 (VND Heuristic) -30-
3.4.2 禁忌搜尋演算法(Tabu search) -31-
3.4.3 混合巨集啟發式演算法 -33-
第四章 實驗設計 -36-
第五章 實驗結果 -39-
第六章 結論與未來展望 -50-
6.1.研究結論 -50-
6.2.未來展望 -51-
參考文獻 -53-
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0943560141en_US
dc.subject (關鍵詞) 總延遲工件權重數zh_TW
dc.subject (關鍵詞) 非等效平行機台問題zh_TW
dc.subject (關鍵詞) 順序相依整備時間zh_TW
dc.subject (關鍵詞) 變動鄰域尋優法zh_TW
dc.subject (關鍵詞) 禁忌演算法zh_TW
dc.subject (關鍵詞) Weighted Number of Tardy Jobsen_US
dc.subject (關鍵詞) Unrelated Parallel Machinesen_US
dc.subject (關鍵詞) Sequence-Dependent Setupen_US
dc.subject (關鍵詞) Variable Neighborhood Descenten_US
dc.subject (關鍵詞) Tabu Searchen_US
dc.title (題名) 開發混合式巨集啟發式方法求解具順序相依整備時間之非等效平行機台排程問題zh_TW
dc.title (題名) Hybrid Meta-Heuristics for the Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Timesen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 1. Anghinolfi, D., and Paolucci, M. (2007). “Parallel machine total tardiness scheduling with a new hybrid metaheuristic approach”. Computers & Operations Research, 34, 3471–3490.zh_TW
dc.relation.reference (參考文獻) 2. Armentano, V.A., and Yamashita, D.S. (2000). “Tabu search for scheduling on identical parallel machines to minimize mean tardiness”. Journal of Intelligent Manufacturing, 11, 453–460.zh_TW
dc.relation.reference (參考文獻) 3. Azizoglu. M. and Kirka O. (1999). “Scheduling jobs on unrelated parallel machines to minimize regular total cost functions”. IIE Transactions, 31, pp.153–159.zh_TW
dc.relation.reference (參考文獻) 4. Bilge, Ü., Kıraç, F., Kurtulan, M., and Pekgün, P. (2004). “A tabu search algorithm for parallel machine total tardiness problem”. Computers and Operations Research, 31, 397–414.zh_TW
dc.relation.reference (參考文獻) 5. Bräysy, O., (2003). “A reactive variable neighborhood search for the vehicle-routing problem with time windows”. INFORMS Journal on Computing, 15, 347–368.zh_TW
dc.relation.reference (參考文獻) 6. Cao, D., Chen, M., Wan, G. (2005). “Parallel machine selection and job scheduling to minimize machine cost and job tardiness”. Computers and Operations Research, 32, 1995–2012.zh_TW
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