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博碩士論文 etd-0810111-144110 詳細資訊
Title page for etd-0810111-144110
論文名稱
Title
應用系統模擬技術探討批量式流程製造系統派工法則之研究
A Study Focused on Rearranging the Dispatching Rules by Simulation Analysis to Improve the Performance of Batch-Typed Flowshop Manufacturing Systems
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
96
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2011-07-15
繳交日期
Date of Submission
2011-08-10
關鍵字
Keywords
批量式、系統模擬、派工法則、績效衡量、排程、限制理論
Batch-typed, Performance measurement, Dispatching rules, Scheduling, Theory of Constraints (TOC), Simulation
統計
Statistics
本論文已被瀏覽 5930 次,被下載 9
The thesis/dissertation has been browsed 5930 times, has been downloaded 9 times.
中文摘要
在多數的製造工廠運作中,生管人員對於生產排程的使用常是利用過去的生產經驗累積或利用生產線試作實驗來決定,前者存在高度風險及不確定性;後者則受限於製造工廠資源,只能局部驗證某些排程或產品,且容易造成交期延誤等情形。本研究嘗試利用模擬技術軟體Arena,運用系統模擬方法來建立一個批量式微電阻製造模擬系統,利用文獻中探討的派工法則來探討各派工法則在批量式生產中的績效評比,並找出生產瓶頸,同時利用限制理論來改善生產方式,討論改善後的生產模式是否可為生產流程帶來改善。
本研究利用產品產出量、平均流程時間、平均延遲時間、平均各站工件等候數量及機台使用率等五項績效衡量指標來衡量各派工法則的績效結果,並且加入生產流程中所必須考慮的生產因素,例如生產產品比重、訂單進入生產時間、生產機台使用時間、生產機台數及生產交期等,作為批量式生產流程製造工廠執行生產排程之依據,以使得生產模型更符合實際生產狀況。實驗結果顯示多型別產品的批量式生產,可依照不同產品的需求情況來使用不同的派工法則,以使生產最佳化、產出最大化;限制理論及調整瓶頸生產機台將有助於緩和生產機台的使用率及降低工件等候數量。
Abstract
In most of the manufacturing operations, production management staffs usually empirical rules or pilot run experiment results to decide production scheduling. However, the former methodology could go with high risk and uncertainty; the latter might partially verify some schedules and products due to the restricted manufacturing resources, and could easily cause delivery delay. This research performed a design of experimentation by computer simulation tool to develop a micro resistance manufacturing process model and compared the performance measurements among different dispatching rules so as to find the process bottleneck. Meanwhile, this research implemented the TOC (Theory of Constraints) theory to improve the manufacturing process and studied the efficiency of the improved process.
This experiment took five performance measurements: product throughout, mean flowing time, mean tardiness time, mean queued job quantity and resources utilization in order to validate the results of the various dispatching rules and its performance simulating the real production process and further expects this model to become a reference scheduling model for batch-typed manufacturing processes. Additional production factors are also included into our experiments. For example, the proportion of product types produced, production timings of orders, manufacturing equipments operation time, numbers of manufacturing equipment and order delivery due date. The experiment results exhibit multi-type products of batch-typed flow shop manufacturing could use different dispatching rules based on product requirements to achieve production optimization and output maximization. TOC and adjustments of bottleneck
machines can alleviate manufacturing equipment loading and reduce job queue quantity.
目次 Table of Contents
論文審定書 .......................................... I
誌謝 ..................................................... II
摘要 .................................................... III
Abstract ............................................. IV
目錄 ..................................................... V
圖次 .................................................... VI
表次 ................................................... VII
第一章 緒論 .............................................. 1
第一節 研究背景及動機 ................................................................... 1
第二節 研究目的 ............................................................................... 3
第三節 研究流程 ............................................................................... 4
第四節 論文架構 ............................................................................... 6
第二章 文獻探討 ...................................... 7
第一節 生產計畫管制 ....................................................................... 7
第二節 作業排程 ............................................................................. 10
第三節 派工法則 ............................................................................. 14
第四節 績效衡量 ............................................................................. 18
第五節 限制理論 ............................................................................. 21
第六節 模擬理論及應用 ................................................................. 25
第三章 研究方法與設計 ........................ 29
第一節 研究方法架構 ..................................................................... 29
第二節 系統模型設計 ..................................................................... 31
第三節 系統模型資料 ..................................................................... 37
第四節 實驗設計 ............................................................................. 44
第五節 模擬模式 ............................................................................. 45
第四章 模型建構與分析 ........................ 47
第一節 個案公司介紹 ..................................................................... 47
第二節 批量式製造流程模型建構 ................................................. 54
第三節 DBR 排程改善模型建構 ................................................... 64
第四節 調整限制資源機台模型建構 ............................................. 69
第五節 實驗結果討論 ..................................................................... 73
第五章 結論與建議 ............................... 76
參考文獻 ................................................ 78
附錄 ........................................................ 81
Arena 模型 ...................................................................................... 81
先進先出派工法則 - SIMAN Code................................................ 82
參考文獻 References
Barman, S. (1997). Simple priority rule combinations: an approach to improve both flow time and tardiness. International Journal of Production Research, 35(10), 2857-2870.
Barrett R. and Kadipasaoglu, S. N. (1999). Evaluation of Dispatching Rules in a Dynamic Flow Shop. Production and Inventory Management Journal, 31, 54-58.
Blackstone Jr, J. H., Phillips, D. T., & Hogg, G. L. (1982). A state-of-the-art survey of dispatching rules for manufacturing job shop operations. [Article]. International Journal of Production Research, 20(1), 27.
Conway, R. W. (1965). Priority dispatching and work- in-process inventory in a job shop. Journal of Industrial Engineering, Vol 16, pp.123-130 and pp. 228-237.
Dugrette, D. J., & Stowe, A. M. (1993). A Performance Measurement Model for The Office of Inspector General. Government Accounts, pp.27-50.
Feichtinger, G., & Hartl, R. (1985). Optimal pricing and production in an inventory model. European Journal of Operational Research, 19(1), 45-56.
Fredendall, L. D., & Lea, B. R. (1997). Improving the product mix heuristic in the theory of constraints. International Journal of Production Research, 35(6), 1535-1544.
Goldratt, E., & Fox, R. (1986). The Race. New York: North River Press, Inc.
Goldratt, E. M., & Cox, J. (2006). 目標:簡單有效的常識管理 (齊若蘭, Trans.): 天下文化.
Harrell, & Tumay. (1998). Simulation made easy (簡聰海、鄒靖寧, Trans.): 高立圖書.
Haupt, R. (1989). A survey of priority rule-based scheduling (En).
Herrmann, J. W. (2001). Improving Manufacturing System Performance through Rescheduling. Computer Integrated Manufacturing Laboratory, University of Maryland, June 21.
Holthaus, O., & Rajendran, C. (1997). Efficient dispatching rules for scheduling in a job shop. International Journal of Production Economics, 48(1), 87-105.
Howell, R. A., & Soucy, S. R. (1978). The New Manufacturing Environment: Major Trend for Management Accounting. Management Accounting, pp.13-19.
Liu, K.-C. (1998). Dispatching rules for stochastic finite capacity scheduling. Computers & Industrial Engineering, 35(1-2), 113-116.
McMullen, J., T. B. (1998). Introduction to the Theory of Constraints Management System: St. Lucie Press, APICS series on constraints management.
Narasimhan, S. L., & Mangiameli, P. M. (1987). A COMPARISON OF SEQUENCING RULES FOR A TWO-STAGE HYBRID FLOW SHOP. Decision Sciences, 18(2), 250-265.
Narasimhan, S. L., & Panwalkar, S. S. (1984). Scheduling in a two-stage manufacturing process. International Journal of Production Research, 22(4), 555.
Pinedo, M. (1995). Scheduling Theory, Algorithms, and Systems. Prentice Hall: New Jersey.
Prakash, A., & Chen, M. (1995). A simulation study of flexible manufacturing systems. Computers & Industrial Engineering, 28(1), 191-199.
Rajendran, C., & Holthaus, O. (1999). A comparative study of dispatching rules in dynamic flowshops and jobshops. European Journal of Operational Research, 116(1), 156-170.
Sabuncuoglu, I. (1998). A study of scheduling rules of flexible manufacturing systems: a simulation approach. International Journal of Production Research, 36(2), 527-546.
Sarper, H., & Henry, M. C. (1996). Combinatorial evaluation of six dispatching rules in a dynamic two-machine flow shop. Omega, 24(1), 73-81.
Soroush, H. M. (1999). Sequencing and due-date determination in the stochastic single machine problem with earliness and tardiness costs. European Journal of Operational Research, 113(2), 450-468.
Spencer, M. S. a. C., J. F. III. (1995). Master Production Scheduling Development In a Theory of Constrains Environment. Production and Inventory Management Journal of Industrial Engineering, 36: 38-14.
Swann, D. (1986). Using MRP for Optimized Schedules (Emulating OPT). Production and Inventory Management, 21: 30-37.
Van Dyke Parunak, H. (1991). Characterizing the manufacturing scheduling problem. Journal of Manufacturing Systems, 10(3), 241-259.
Vollmann, T. E., Berry, W. L., & Whybark, C. D. (1997). Manufacturing planning and control systems.
Wu, M. C., & Chen, S. Y. (1996). A cost model for justifying the acceptance of rush orders. International Journal of Production Research, 34(7), 1963.
Yih-Long, C., Sueyoshi, T., & Sullivan, R. S. (1996). Ranking dispatching rules by data envelopment analysis in a job shop environment. IIE Transactions, 28(8), 631-642.
行政院主計處. (2010). 99 年事業人力僱用狀況調查報告統計表. from http://www.dgbas.gov.tw/ct.asp?xItem=28583&ctNode=4988
李鈞. (2006). 生產管理進階: 前程文化.
李榮貴, & 張盛鴻. (2005). TOC 限制理論 從有「限」走向無限: 中國生產力中心.
林則孟. (2001). 系統模擬理論與應用: 滄海書局.
林則孟. (2006). 生產計畫與管理: 華泰文化.
林錦煌. (1995). 作業管理: 滄海書局.
邱長青. (2008). 相招回台灣、做伙來投資. 經濟部投資業務處.
洪一峰. (1997). 半導體製造廠生產管理體系之建立---子計畫四: 以模擬為基礎之晶圓製造廠即時排程系統.
屠益民, & 張良政. (2010). 系統動力學理論與應用: 智勝文化事業有限公司.
張喬齡. (2004). TOC 式扣件生產系統之模擬實例研究.
陳建良. (1995). 排程概述. 機械工業雜誌第12 月號, pp.122-137.
陳英仁. (1995). 以模擬為基礎的晶圓製造廠派工法則. 國立清華大學工業工程工程碩士論文.
葉忠, & 盧紀宏. (2006). 限制理論運用於 IC 封裝材料採購之研究. A Study of TOC Used in Purchasing IC Assembly Materials, 運籌研究集刊, 39-53.
劉賓陽. (1990). 作業研究: 三民書局.
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