| 研究生: |
林文耀 Lin, Wen-Yao |
|---|---|
| 論文名稱: |
電子組裝業之生產線分析與設計 |
| 指導教授: |
吳植森
Wu, Chin-Sen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業管理科學系碩士在職專班 Department of Industrial and Information Management (on the job class) |
| 論文出版年: | 2003 |
| 畢業學年度: | 91 |
| 語文別: | 中文 |
| 論文頁數: | 67 |
| 中文關鍵詞: | 系統模擬 、生產週期 |
| 外文關鍵詞: | IDEF0, CONWIP |
| 相關次數: | 點閱:87 下載:4 |
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近年來由於世界貿易快速成長,市場趨於全球化。電子製造業在經營上面臨成本、品質、交期短與彈性製造之競爭壓力下與日俱增,電子產業利潤不斷降低,顧客的要求卻越來越多。為達成廠商顧客雙贏的目標,本研究以電子裝配業-投幣器如何提升生產效率作為研究主題,探討如何將生產資料、顧客需求量、生產週期、在製品間的互動關係使用模擬方式設計分析,以求出適當的生產流程系統,以使生產系統具備低在製品水準(Work-in-process ,WIP)、短生產時間週期,且滿足需求量之現場流程管制要求,期望讓投幣器生產過程更符合經濟效益。本研究方法以靜態的IDEF0將複雜的系統清楚呈現出來,然後使用CONWIP
(Constant Work in process)系統具有易於控制、低在製品水準、以及穩定之生產週期等優點,建立生產控制系統。最後使用動態電腦模擬驗證方法找出投幣器符合經濟要求之生產流程作業模式。利用此程序可以確認生產模式運作情形是否符合真實系統狀態或決策者期望達成的程度,以協助生產決策者有效達成生產績效。
加工時間變異對電子組裝作業有一定程度之影響。本研究透過改變標準差(變異)分析在標準差減半、標準差為零、原始標準差三種作業環境之下,使用CONWIP對系統績效影響程度。研究顯示隨著標準差變異程度提高,對系統績效也急遽壙大,並且使生產週期時間延長,結果發現產出量降低。因此,想要一個穩定的CONWIP生產系統,就必須致力於將加工時間的變異性變小。
關鍵詞:IDEF0、CONWIP系統、系統模擬、生產週期
none
中文部分
1.林則孟,“系統模擬 ”,台北,華泰書局,民89。
2.徐政宏,“多能工派工法則之模擬比較-以面臨緊急訂單
之流線型生產系統為例”,朝陽大學工管研究所碩士論
文,民89。
3.郭鴻志,季延平,“系統分析與設計-由自動化到企業再
造”,台北,華泰書局,民84。
4.楊廣宜,“以基因演算法結合離散事件模擬求解最佳
CONWIP生產架構 ”,國立成功學製造工程研究所碩士論
文,民91。
5.鄭書豪, “CONWIP生產管制架構於IC封裝產業之應
用”,國立清華大學工業工程研究所碩士論文,民87。
英文部分
1.Banks, J., Carson, II., and Barry,.N.,“Discrete
– Event Systen Simulation,”Prentice Hall, Inc.,
pp.3-13,1995.
2.Bonvik, A. M., Couch, C. E., and Gershwin, S. B., “ A comparison of production-line control
mechanisms,” International Journal of Production
Research, Vol. 35, No. 3, pp. 789-804 , 1997.
3.Brun, A. and Portioli, A., “Agent-Based
Shop-Floor Scheduling of Multistage Systems,”
Computers and Industrial Engineering, Vol.37, 恩
pp.457-460, 1999.
4.Can, D., Todd, F.M. and Steven, A.W., Simulation
Modeling and Analysis of A Hardwood Sawmill,
Simulation Practice and Theory, Vol.5, No.8,
pp.387-403,1997.
5.Deleersnyder, J. L., Hodgson, T. J., Muller, H.,
and O’Grady, P. J.,“ Kanban controlled pull
systems: analytic approach,”Management Science,
Vol. 35, No.9, pp. 1079-1091 ,1989.
6.Gaury, E. G. A., Pierreval, H., and Kleijnen, J.
P. C.,“An evolutionary approach to select a pull
system among Kanban, Conwip and Hybrid,” Journal
of Intelligent Manufacturing, Vol. 11, pp.157-167
, 2000.
7.Graham, I.,“Comparing trigger and kanban control
of flow-time manufacture,”International Journal
of Production Research, Vol. 30, No. 10,
pp.351-2362 , 1992.
8.Harrell, C., Ghosh, B. K. and Bowden, R.,
Simulation Using ProModel , 2000.
9.Herer, Y. T. and Masin, M., “Mathematical
programming formulation of CONWIP based
production lines; and relationships to MRP,”
International Journal of Production Research,
Vol. 35, No. 4, pp. 1067-1076 , 1997.
10.Hopp, W. J. and Roof, M. L.,“ Setting WIP
levels with statistical throughput control (STC)
in CONWIP production lines,”International
Journal of Production Research, Vol. 36, No. 4,
pp. 867-882 , 1998.
11.Hopp, W. J. and Spearman, M. L., Factory
Physics: Foundations of Manufacturing Management
, 1996.
12.Law, A. M. and David, W. D., Simulation Modeling
&Analysis ,2nd ed., McGraw-Hill, Inc.,1990.
13.Mayer, O.T., Cullinane,T. P., DeWitte, P. S.,
Knappenberger, W.B.,Perakath, B., and Wells, M.
S.,Information Integration for Concurrent
engineering (IICE) IDEF3 Process Description
Capture Method Report,AL-TR-1992-0057, Armstrong
Laboratory, Wright-Patterson AFB,OH.
14.Mehmet, S., “Simulation Analysis of A Pull-Push
System for An ElectronicAssembly Line,”
International Journal of
ProductionEconomics,Vol.51,pp.205-214, 1997.
15.Monden, Y., Toyota Production System: Practical
Approach to Management ,Industrial Engineering
and Management Press, Norcross, GA , 1983.
16.Nelson, B. L., Kelton, W. D. and Clark, G. M.,
“Proceeding of the 1991 Winter Simulation
Conference,”Proceeding of the 1991 Winter
Simulation Conference, p.18 , 1991.
17.Pegden, C. D., Shannon, R. E., and Sadowski, R
P., Introduction to Simulation Using SIMAN
,McGraw-Hill, Inc, 1990.
18.Philipoom, P. P., Rees, L. P., Taylor, B.W.,
III, and Huang, P. Y., “An investigation of the
factors influencing the number of kanbans
required in the implementation of the JIT
technique with kanbans,” International Journal
of Production Research, Vol. 25, No. 3, pp.
457-472 , 1987.
19.Rees, L. P., Philipoom, P. R., Taylor, B. W.,
III, and Huang, P. Y., 1987. Dynamically
adjusting the number of kanbans in a just-in-time
production system using estimated values of
leadtime, IIE Transactions, Vol. 19, No. 2, pp.
199-207, 1987.
20.Roderick, L. M., Toland, J., and Rodriguez, F.
P.,“ A simulation study of CONWIP versus MRP at
Westinghouse, Computers and Industrial
Engineering, ” Vol. 26, No. 2, pp. 237-242 ,
1984.
21.Spearman, M. L., Woodruff, D. L., and Hopp, W.
J.,“ CONWIP: a pull alternative to kanban,”
International Journal of Production Research,
Vol. 28, No. 5, pp. 879-894, 1996.
22.Wang, H. and Wang, H. P.,“ Optimum number of
kanbans between two adjacent workstations in a
JIT system ,” International Journal of
Production Economics. Vol. 29, pp. 89-101 , 1993.
23.Zeiger, B.P.,“System theoretic representation
of simulation models ”IIE Transactions , 1984.