在隨機需求與交貨時間保證下之存貨決策

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：23

、訪客IP：18.117.106.23

姓名

吳峻宇(Chun-yu Wu) 查詢紙本館藏

畢業系所

工業管理研究所

論文名稱

在隨機需求與交貨時間保證下之存貨決策
(Inventory Strategy under Stochastic Demand with Guaranteed Order Lead Time)

相關論文

★ 二階段作業研究模式於立體化設施規劃應用之探討–以半導體製造廠X及Y公司為例	★ 推行TPM活動以改善設備總合效率並提昇企業競爭力...以U公司桃園工廠為例
★ 資訊系統整合業者行銷通路策略之研究	★ 以決策樹法歸納關鍵製程暨以群集法識別關鍵路徑
★ 關鍵績效指標(KPI)之建立與推行 - 在造紙業	★ 應用實驗計劃法- 提昇IC載板錫球斷面品質最佳化之研究
★ 如何從歷史鑽孔Cp值導出新設計規則進而達到兼顧品質與降低生產成本目標	★ 產品資料管理系統建立及導入-以半導體IC封裝廠C公司為例
★ 企業由設計代工轉型為自有品牌之營運管理	★ 運用六標準差步驟與FMEA於塑膠射出成型之冷料改善研究(以S公司為例)
★ 台灣地區輪胎產業經營績效之研究	★ 以方法時間衡量法訂定OLED面板蒸鍍有機材料更換作業之時間標準
★ 利用六標準差管理提升生產效率－以Ａ公司塗料充填流程改善為例	★ 依流程相似度對目標群組做群集分析- 以航空發動機維修廠之自修工件為例
★ 設計鏈績效衡量指標建立 —以電動巴士產業A公司為例	★ 應用資料探勘尋找影響太陽能模組製程良率之因子研究

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

儘管隨機存貨模型已經被廣泛的研究，在結合時間觀點之服務保證還有隨機存貨之系統之影響還有系統表現卻還是有待研究之主題。
在本研究中，我們將交貨時間保證做為競爭條件並且建構隨機存貨模型來展示在確定性投資與運輸延遲風險間平衡點之拿捏。交貨時間由在系統中之等待與生產時間與運輸時間兩者加總。需求是由外界產生的，並且對於價格高低與交貨時間之保證長短有密切關係。
相對於在此領域比較熱門之趕工策略，我們藉由建立門檻存貨水準之存貨決策來滿足提供給客戶之交貨時間保證。我們建立一個以最佳利潤為目的之模型，並且探討存貨決策與價格、交貨時間長短等等之關係。
我們使用兩個數值分析模型來展示。在以M/G/1建構模型後，我們先使用基本之M/M/1模型展示數值範例。再延伸至M/D/1系統並且與M/M/1系統做比較。有鑒於無存貨策略所能達成之延伸性，例如趕工模型。我們也比較無存貨策略與最佳存貨策略間之改進幅度。
本研究顯示出，雖然隨著生產設施的穩定性提升會降低存貨策略所能改進的程度。不過只要需求是隨機的並且著眼點是在時間保證之競爭下，使用存貨策略是更有利的決策。

摘要(英)

Although stochastic inventory model has been well discussed by many researchers, the combination with time based service guarantee and the influence toward system behaviors still remains un-discovered.
In this study, we formulate stochastic inventory model with consideration of order lead time guarantee as a competitive strategy and show the trade-off between insured inventory investment and delivery time delay risks. Order lead time is referred as the combination of sojourn time in production facility and delivery time. Demand is exogenous and is sensitive to both price and guaranteed order lead time.
In addition to the more popular capacity expansion policy, we satisfy the guarantee by introducing an optimal inventory policy to decide the inventory level threshold. An optimal model is established to observe the relationship between price, order lead time guarantee and the inventory decision with the objective to maximum the total profit.
We show the idea in two numerical examples. The basic idea of the study is by M/G/1 system. However, we optimize and analysis it in M/M/1 case and extend it to M/D/1 case. Sensitive analysis is provided to show how optimal inventory decisions are affected by different environment. The results are compared in optimal inventory policies, especially none-inventory policy for the extensional purposes such as capacity boosting policy.
The study shows that although the significance of the inventory policy decreases in the production process stability. As long as the demand is stochastic and the competition is about guarantee lead time, it is more profitable to apply inventory policy.

關鍵字(中)

★ 存貨生產
★ 時間競爭
★ 等候線
★ 存貨策略

關鍵字(英)

★ Inventory decision
★ Time-based competition
★ MTS
★ Queue

論文目次

Chinese Abstract
Abstract
Contents
List of Table
List of Figures
1. Introduction
1.1 Background and Motivation
1.2 Problem Description
1.3 Research Objective
1.4 Thesis Framework
2. Literature Review
2.1 Inventory Control
2.2 Time Based Competition
3. Model Development
3.1 Core Model
3.2 The M/M/1 Case
3.3 The M/D/1 Case
3.4 Numerical Example
4. Sensitivity Analysis
4.1 Performances vs. τ 24
4.2 Performances vs. p 26
4.3 Performances vs. α 28
4.4 Performances vs. r/k
5. Conclusion and Future Research
Future Research
References
Appendix

參考文獻

1. Abate, J. and Whitt, W. (1992). “Numerical inversion of probability generating functions.” Operations Research Letters, Vol. 12, 245-251.
2. Baker, T. and Collier D.A. (2005). “The Economic Payout Model for Service Guarantees.” Decision Sciences, Vol. 36, No. 2, 197-220.
3. Bezalel, G. and Stephen, C.G. (1981). “Production/inventory systems with a stochastic production rate under a continuous review policy.” Computers & Operations Research, Vol. 8, Issue 3, 169-183.
4. Carter, J. R. and Ferrin, B. G. (1996). “Transportation costs and inventory management: Why transportation costs matter.” Production and Inventory Management Journal, Vol. 37, Issue 3, 58-62.
5. Dewan, S. and Mendelson, H. (1990). “User Delay Costs and Internal Pricing for a Service Facility.” Management Science, Vol. 36, Issue 12, 1502-1517.
6. Hadley, G. and Whitin, T. (1963). “Analysis of Inventory System.” Prentice-Hall, Englewood Cliffs, New Jersey.
7. Ha, A.Y. and Li, L. and Ng, S.M. (2003). “Price and delivery logistic
competition in a supply chain.” Management Science, Vol. 49, Issue 9. 1139-1153.
8. Hendry, L.C. and Kingsman, B.G. (1989). “Production Planning System and Their
Application to Make-to-Order Companies.” European Journal of Operation
Research, Vol. 40, Issue 1, 1-15.
9. Fry, T.C. (1928). “Probability and its engineering uses.” Princeton, 476.
10. Iversen, V. B. and Staalhagen, L. (1999). “Waiting time distribution in M/D/1 queueing systems.” Electronics Letters, 9th, Vol. 35, No. 25.
11. Karmarkar, U.S. (1993). “Manufacturing lead times.” Logistics of Production and Inventory, Operations Research and Management Science, Vol. 4. North-Holland(Elsevier Science Publishers B.V.), Amsterdam, The Netherlanhds.
12. Kleinrock, L. (1978). “Queuing Systems.” Vol. 1, Wiley, New York.
13. Lee, H.S. (1995). “On continuous review stochastic (s, S) inventory systems with ordering delays.” Computers & Industrial Engineering, Vol. 28, Issue 4, 763-771.
14. Palaka, K. and Erlebacher, S. and Kropp, D.H. (1998). “Lead time setting, capacity utilization, and pricing decisions under lead time dependent demand.” IIE Transactions. Vol. 30, 151–163.
15. Ray, S. and Jewkes, E.M. (2004). “Customer lead time management when both demand and price are lead time sensitive.” European Journal of Operational Research, Vol. 153, 769–781.
16. Sheldon M. R. (2007), “Introduction to Probability Models.” 9th edition, University of California, USA.
17. So, K.C. and Song J.S. (1998). “Price, delivery time guarantees and capacity selection.” European Journal of Operational Research, Vol. 111, Issue 1, 28-49.
18. Stalk, G. and Hout, T.M. (1990). “Competing Against Time: How Time-Based Competition is Reshaping Global Markets.” The Free Press, NY.
19. Subimal, C. Susan, A. S. and Matthew, J.S. (2002). “Delivery Guarantees and the Interdependence of Marketing and Operations.” Production and Operations Management, Vol. 11, No.3, 393-410.
20. Tilms, H.C. and Groenevelt, H. (1984) “Simple approximations for the reorder point in periodic and continuous review (s, S) inventory systems with service level constraints.” European Journal of Operational Research, Vol. 17, Issue 2, 175-190.
21. Williams, T. M. (1984). “Special Products and Uncertainty in Production Inventory systems.” European Journal of Operation Research, Vol. 15, Issue 1, 46-54.
22. Zipkin, P. H. (1986). “Models for design and control of stochastic, multi-item batch production systems.” Operations Research. Vol. 34, Issue 1, 91-104

指導教授

曾富祥(Fu-shiang Tseng)

審核日期

2008-6-25

推文