跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.255) 您好!臺灣時間:2026/07/04 21:43
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:黃炫詠
研究生(外文):Hsuan-Yung Huang
論文名稱:應用產能共享與上游資訊以改善零工式生產派工
論文名稱(外文):Analysis of Job Shop Dispatching with Flexible Pooling and Upstream Information
指導教授:郭幸民郭幸民引用關係
指導教授(外文):Shin-ming Guo
學位類別:碩士
校院名稱:國立高雄第一科技大學
系所名稱:運籌管理研究所
學門:商業及管理學門
學類:行銷與流通學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:59
中文關鍵詞:系統模擬資源共享零工式生產上游資訊
外文關鍵詞:Systems SimulationUpstream InformationResource PoolingJob Shop
相關次數:
  • 被引用被引用:2
  • 點閱點閱:187
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
市場趨勢是需求多樣少量化,生產多樣產品時可能須面對換線問題,本研究利用系統模擬建構模型,探討零工式生產的資源共享方式,應用上游資訊以控制彈性共享方式的使用,績效評估主要以流程時間為主,並於不同生產條件觀察績效變化。

本研究先以一基本零工式生產系統作為實驗基礎,分別在產品需求呈現完全平均、完全不平均、淡旺季變化三種條件下,在三種條件下測試不同的共享方式,分別有完全共享、部分共享、以及各種彈性共享方式,並在彈性共享方式中採納上下游工作站資訊作為共享決策參考,目的是評估共享方式在各種不同條件下的優勢變化。

本研究進一步探討彈性共享方式控制因子的最佳化設定,再加入上游工作站資訊,並應用在文獻中分析過的零工式生產系統,實驗結果確認本研究提出的彈性共享方式之效能。

實驗顯示在生產需求不穩定且波動較大之條件下,彈性共享方式越能顯現其效益,而完全共享與部分共享等方式缺乏彈性,完全無法比擬。實驗亦發現彈性共享方式於不同排程方式下仍然具有相似效益。研究結果將可提供業界參考,提升有限產能的生產效益。
As market demands moving toward small-volume and large-variety, production setup has become a critical issue that affects system performance. Using flexible pooling could make capacity control more effective. This paper develops Arena simulation programs to analyze job shop production systems with flexible pooling and upstream/downstream information.

We first consider a basic job shop system with three different demand patterns, totally balance, totally unbalance, and seasonal variation. Three pooling rules are tested, full pooling, partial pooling, and flexible pooling. We also study flexible pooling with upstream information. The goal is to analyze the performance of flexible pooling under different environments.

We further study optimal settings of factors used in flexible pooling and then implemented with upstream information. We evaluate the flexible pooling rule using another model studied in the literature and confirm the effectiveness of flexible pooling.

If the demand is more stochastic and has large seasonal variation, flexible pooling becomes more effective in terms of reducing flow times. Full pooling and partial pooling lack flexibility and are not competitive. The experiment also finds that flexible pooling has robust performance under different scheduling rules. Our results can help improving production effectiveness in real world applications.
摘要 i
Abstract ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 vii
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 3
1.4 研究範圍與限制 3
第二章 文獻回顧 4
2.1 排程 4
2.2 產能共享 7
2.2.1 產能共享與排程 7
2.3 Setup排程 8
第三章 研究設計 11
3.1 問題定義 11
3.2 彈性共享基本模式 13
3.3 彈性共享進階模式 17
3.4 績效指標 20
第四章 實驗設定與分析 21
4.1 基本模式 21
4.2 基本模式下之需求分佈 24
4.3 彈性共享參數的設定 25
4.3.1 門檻值之設定 26
4.3.2 生產條件對門檻參數之影響 30
4.4. 基本模式之共享方式比較 34
4.5 Setup時間的影響 36
4.6 生產環境改變 37
第五章 結論與建議 42
5.1 結論 42
5.2 後續建議 44
參考文獻 45
參考文獻

1.王治平,2003,實際零工式排程問題的派工法則,國立政治大學資訊管理研究所,碩士論文。

2.Ali Allahverdi , C. T. Ng., T.C.E. Cheng , Mikhail Y. Kovalyov (2008). "A survey of scheduling problems with setup times or costs." European Journal of Operational Research 187: 985-1032.

3.Andre´s, C., Albarracı´n, J.M., Tormo, G., Vicens, E., Garcı´a-Sabater, J.P. (2005). "Group technology in a hybrid flowshop environment: A case study." European Journal of Operational Research 167(1): 272-281.

4.P. M. Bobrowski, S. C. Kim. (1997). "Scheduling Jobs with Uncertain Setup Times and Sequence Dependency." Omega, Int. J. Mgmt Sci. 25(4): 437-447.

5.S. Carmo-Silva, N. O. Fernandes (2010). "Order release in a workload controlled flow-shop with sequence-dependent set-up times." International Journal of Production Research 49: 2443-2454.

6.Damon Wischik , M. H., Marcelo Bagnulo Braun (2008). "The Resource Pooling Principle." COMPUTER COMMUNICATION REVIEW 38(5): 47-52.

7.J. K. Roberson, J. W. Fowler., J. F. Bard (1995). "The use of upstream and downstream information in scheduling semiconductor batch operations." INT. J. PROD. RES 33: 1849-1869.

8.Kim D.W. , Kim K. H., Jang, W., Chen F.F. (2002). "Unrelated parallel machine scheduling with setup times using simulated annealing." Robotics and Computer Integrated Manufacturing 18: 223-231.

9.Li Nie , Liang Gao., Peigen Li , Xinyu Shao (2013). "Reactive scheduling in a job shop where jobs arrive over time." Computers & Industrial Engineering 66: 389-405.

10.Lin H.T. , Liao C. J. (2003). "A case study in a two-stage hybrid flow shop with setup time and dedicated machines." Int. J. Production Economics 86: 133-143.

11.Matthias Thürer , Martin J. Land, Mark Stevenson (2014). "Card-basedworkloadcontrolforjobshops:ImprovingCOBACABANA." Int. J. Production Economics 147: 180-188.

12.Monauni, M. (2014). "Agility Enablers in Production Networks –Pooling and Allying of Manufacturing Resources." Procedia CIRP 17: 657-662.

13.Nico van Dijk, E. v. d. S. (2009). "Pooling is not the answer." European Journal of Operational Research 197: 415-421.

14.V. Vinod, R. Shridharan (2008). "Scheduling a dynamic job shop production system with sequence-depeandent setups: A experimental study." Robotics and Computer-Integrated Manufacturing 24: 435-449.

15.Wilhelm, S. (1994). "The job shop tardiness problem: a corrected model." European Journal of Operational Research 79(3): 549-550.

16.Young Hoon Lee , Michael Pinedo. (1997). "Scheduling jobs on parallel machines with sequence-dependent setup times." European Joumal of Operational Research 100: 464-474.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top