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姓名 林志騫(Chih-chien Lin) 查詢紙本館藏 畢業系所 工業管理研究所 論文名稱 結合生產-存貨之系統效能研究
(On Performances of Joint Production-Inventory Systems)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 本研究之目的在建立一個隨機模型可以描述接單生產環境之下單一最終產品的生產規劃。已知最終產品的物料清單且已將其中的半成品或原物料以分割線分為庫存生產(MTS )或訂單生產(MTO)。在本文中，訂單需求發生在最終產品，且為一隨機過程，產能與服務時間符合M/G/1等候線，庫存生產的半成品需服從連續盤存制之庫存策略(Q, r)，且所有被規劃為庫存生產式之半成品均不在廠內生產，全部採外購制，因為採行外購制所以所有與第一層存貨生產相關的半成品均不需考慮，反之其他相關生產活動均在廠內進行。
在此一環境下本研究利用Busy period、Exceptional First Service與Light Traffic Heuristic建立隨機模型，此模型可以同時處理生產與存貨之間的關聯性，包含顧客在等候線中之延遲時間、存貨機率、缺貨機率。我們利用數值分析的方式來驗證此模型是否可行，在將其結果與利用模擬實際情況生產方式產生的數據進行比較，發現結果良好。最後透過參數設定可以看出存貨策略(Q, r)對延遲時間的影響的變化。摘要(英) In practice, manufacturers often produce their end products by a mix make-to-order (MTO) and make-to-stock (MTS) strategy. That is, manufacturers produce the products according to the orders arrival to satisfy customer’s demand of variety or keep products in advance to shorten the lead-time of demand. This mix production system could be use to produce for single end product that is assembled by many components. The problem of making decision for which sub-item to be MTO or MTS is important. In this study, we consider the above decision problem as determine a partition line in a bill of material (BOM) of the end product. Given a partition line in a BOM, we address the problem of determine the performance measure of this production system.
We consider the light traffic heuristic proposed by Sigman and Simchi-Levi (1992) and busy period to derive the distribution of delay over all customers and inventory level distribution. We evaluate the accuracy of our model by comparing it to simulation results. We also conduct a numerical analysis to explore the effect of different parameter settings impact of various parameters on performance measures of this joint production system.關鍵字(中) ★ M/G/1等候線
★ 庫存生產
★ 物料清單
★ 接單生產關鍵字(英) ★ Bill of Material
★ Make-to-order
★ Make-to-stock論文目次 Abstract..........................................................................................................................i
Content........................................................................................................................ iii
List of Table ..................................................................................................................iv
List of Figure .................................................................................................................v
CHAPTER1 INTRODUCTION....................................................................................1
1.1 Background and Motivation ............................................................................1
1.2 Problem Description .......................................................................................3
1.3 Research Objective ..........................................................................................5
1.4 Thesis Framework............................................................................................5
CHAPTER 2 LITERATURE REVIEW ........................................................................7
2.1 Research Problem ............................................................................................7
2.2 Inventory Control.............................................................................................9
2.3 Transforms and Inversions.............................................................................12
CHAPTER 3 MODEL STRUCTURE AND FORMULATION..................................16
3.1 Assumption ....................................................................................................17
3.2 Notations ........................................................................................................18
3.3 Model Formulation ........................................................................................19
3.3.1 Light Traffic Heuristic and Delay in Queue .......................................20
3.3.2 Exceptional First Service Busy Period ...............................................22
3.3.2 Number of Customers Served during an EFS Busy Period ................24
3.3.4 Inventory Function..............................................................................25
CHAPTER 4 NUMERICAL STUDY .........................................................................27
4.1 Model Implementation...................................................................................27
4.2 Model Simulation...........................................................................................32
4.3 Sensitive Analysis ..........................................................................................33
CHAPTER 5 CONCLUSION .....................................................................................35
5.1 Research Contribution ...................................................................................35
5.3 Further Research ............................................................................................36
Reference .....................................................................................................................37參考文獻 [1] 柯瓊琍, 訂單生產環境下之BOM內各品項生產規劃之決策, Master Thesis, National Central University, Graduate Institute of Industrial Management, 2001.
[2] Abate, J., and Whitt, W., Numerical Inversion of Probability Generating Functions. Operation Research Letters, 1992, 12, 245—251.
[3] Abate, J., and Whitt, W., Numerical Inversion of Laplace Transforms of Probability Distributions. ORSA Journal of Computing, 1995, 7(1), 36—43.
[4] Chen, C.W., Determining the Planning Strategies for BOM Items in the Context of MTO Environment: Model and Application. Master Thesis, National Central University, Graduate Institute of Industrial Management, 2003
[5] Chen, Y.J., Make to Stock or Make to Order for BOM Items in ATO Environment. Master Thesis, National Central University, Graduate Institute of Industrial Management, 2004
[6] Cohen, M.A. and Lee, H.L., Strategic Analysis of Instead Production Distribution System: Models and Methods. Management Science, 1988, 36(2), 216—228.
[7] Federgruen, A. and Z. Katalan, The Impact of Adding a Make-to-Order Item to a Make-to-Stock System. Management Science, 1999, 45(7), 980—994.
[8] Fogarty, D.W., Hoffman, T.R. and Stonebraker, P.W., Production and Operation Management, 1989, South-Western Pub, Cincinnati.
[9] Hadley, G. and T. Whitin, Analysis of Inventory System, 1963. Prentice-Hall, Englewood Cliffs, New Jersey.
[10] Hendry, L.C. and Kingsman, B.G., Production Planning System and Their Application to Make-to-Order Companies. European Journal of Operation Research, 1989, 40(1), 1—15.
[11] Hou, J.Y., Determining the Planning Strategies for BOM Items in CTO Environment. Master Thesis, National Central University, Graduate Institute of Industrial Management, 2006
[12] Kleinrock, L., Queuing Systems, 1978, Vol. 1, Wiley, New York
[13] Rajagopalan, S., Make to Order or Make to Stock: Model and Application. Management Science, 2002, 48(2), 241—256.
[14] Russell, R.S., and Taylor, B.W., Operations Management, Fifth Edition, 2006, Wiley, New York
[15] Sigman, K. and Simchi-Levi, D., Light Traffic Heuristic for an M/G/1 Queue with Limited Inventory. Annals of Operation Research, 1992, 40, 371—380.
[16] Simon, R.M., The Uniform Distribution of Inventory Position for Continuous Review (s, Q) Policies. Rand Corporation Report No. P3938 Santa Monica Calif, 1968.
[17] Williams, T.M., Special Products and Uncertainty in Production Inventory systems. European Journal of Operation Research, 1984, 15, 46—54.
[18] Wolff, R.W., Stochastic Modeling and the Theory of Queues, 1989, Prentice-Hall, New Jersey
[19] Zipkin, P.H., Models for Design and Control of Stochastic, Multi-Item Batch Production Systems. Operation Research, 1986, 34(1), 91—103.指導教授 葉英傑(Ying-chien Yeh) 審核日期 2007-6-25 推文 plurk
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