跳到主要內容

簡易檢索 / 詳目顯示

回結果列表
研究生： 葉蕙華
HUI-HUA YEH
論文名稱： 供應鏈中資訊分享與決策制定之協調
information sharing and decision-making coordination in supply chain
指導教授： 陳振明
Jen-ming Chen
口試委員:
學位類別： 碩士
Master
系所名稱： 管理學院 - 工業管理研究所
Graduate Institute of Industrial Management
畢業學年度： 94
語文別： 英文
論文頁數： 68
中文關鍵詞： 決策制定協調 、資訊分享 、供應鏈 、動態規劃
外文關鍵詞： information sharing, decision-making coordination, dynamic programming, supply chain
相關次數： 點閱：6  下載：0 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報

    • 在本文中，我們探討資訊分享與決策制定協調對於供應鏈的影響。我們設定一個簡單的供應鏈，包含一位下游零售商、上游製造商及運輸商。假設下游零售商面對一個連續性且隨著時間變化的需求，在分散決策制定下，亦即NI/NC和FI/NC策略，零售商產生對自己最佳化的補貨排程並驅動上游製造商和運輸商進行補貨。另一方面，在中心決策制定下，亦即FI/FC策略，我們發展一個系統協調的補貨模型，模型目標是為了讓整體系統的成本最小化，產生對整體系統最佳化的共同補貨排程。
    本文的目標是為了量化並且分析三種不同程度的資訊分享與決策制定協調的整合策略(NI/NC, FI/NC, FI/FC)對於供應鏈的成本績效影響程度，以及檢定來自資訊分享與決策制定協調所產生的利益分別分配在哪些成員上。除此之外，我們也進行在不同策略下的成本績效對於模型參數的敏感度分析。

    In this research, we investigate the impact of information sharing and decision-making coordination in supply chain consisting of one downstream retailer, transportation provider, and single upstream manufacturer. We assume that the downstream retailer faces a continuous time-varying demand and generate his own optimal replenishment schedule to trigger the upstream manufacturer replenishment and the third party transportation under decentralized decision making, i.e., strategy NI/NC (no information sharing and no coordination) and FI/NC (full information sharing and no coordination). On the other hand, we develop a system coordinated replenishment model with the objective of minimizing whole system costs to generate the common replenishment schedule under centralized decision making, i.e., strategy FI/FC (full information sharing and full coordination).
    Our objective is to quantify and analyze the value of information sharing and decision-making coordination through the three varying-level integration strategies (NI/NC, FI/NC, FI/FC) in supply chain and examine the allocation of system benefits coming form information sharing and coordination among the channel members. In addition, we also investigate the sensitivity of cost performance under the strategies with respect to the model parameters.

    Contents Chinese Abstract i English Abstract ii Contents iii List of figures v List of tables vi 1. Introduction 1 1.1 Background/motivation 1 1.2 Research objective 5 1.3 Thesis framework 7 2. Literature review 9 2.1 Information sharing 9 2.1.1 The benefits of information sharing 10 2.2 A taxonomy of coordination 13 2.3 The varying levels of information sharing and decision-making 15 coordination 15 2.3.1 No information sharing and no coordination (NI/NC) 16 2.3.2 Full information sharing and no coordination (FI/NC) 17 2.3.3 Full information sharing and full coordination (FI/FC) 18 2.4 Hariga model 19 2.5 Wagner-Whitin model 23 3. Model development 25 3.1 Scenario setting 25 3.2 Model assumptions 26 3.3 Three supply chain integration strategies 27 3.3.1 Strategy NI/NC 27 3.3.2 Strategy FI/NC 31 3.3.3 Strategy FI/FC 33 4. Numerical study 38 4.1 Example 38 4.2 Sensitivity analysis 46 5. Conclusion and future research 49 5.1 Conclusion 49 5.2 Future research direction 50 Reference 51 Appendix 54

    Reference
    1. Anand, K., & Mendelson, H. (1997). Information organization for horizontal multimarket coordination. Management Science, 43(12), 1609-1627.
    2. Baganha, M. P.,& Cohen, M. A. (1998).The stabilizing effect of inventory in supply chains. Operations Research, 46(3), 72-83.
    3. Bourland, K. E., Powell, S.G., & Pyke, D. F. (1996). Exploiting timely demand information to reduce inventories. European Journal of Operational Research, 92, 239-253.
    4. Buzzell, R.D., & Ortmeyer, G. (1995). Channel partnerships streamline distribution. Sloan Management Review, 36(3), 85-96.
    5. Cachon, G., & Fisher, M.(2000). Supply chain inventory management and the value of shared information. Management Science 46(8), 1032-1048.
    6. Cachon, G, & Lariviere, M. A. (1999b). Capacity allocation using past sales :When to turn-and-earn. Management Science, 45(5), 685-703.
    7. Chen, F. (1998). Echelon reorder points, installation reorder points, and the value of centralized demand information. Management Science, 44(12), 221-234.
    8. Carter, J. R., & Ferrin, B. G.(1995). “The Impact of Transportation Costs on Supply Chain Management”, Journal of Business Logistics, Vol. 16, Iss. 1, pp. 189-212.
    9. Chen, F., Drezner, Z., Ryan, J.K., & Simchi-Levi, D.(2000). Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Science, 46(3), 436-443.
    10. Chen, F., Federgruen, A., Zheng, Y-S(2001). Coordination mechanisms for a distribution system with one supplier and multiple retailers. Management Science, 47(5), 693-708.
    11. Fiala,P. (2005). Information sharing in supply chains. Omega, 33, 419-423.
    12. Fransoo, J.C. &Wouters, M.J.F.(2000). Measuring the bullwhip effect in the supply chain. Supply Chain Management: An International Journal, 5(2), 78-89.
    13. Gavirneni, S., Kapuscinski, R., & Tayur, S.(1999). Value of information in capacitated supply chains. Management Science, 45(1), 16-24.
    14. Gilbert, S. M., & Ballou, R. H.(1999). Supply chain benefits from advanced customer commitments. Journal of Operations Management, 18, 61-73.
    15. Graves, S.C.(1996). A multi-echelon inventory model with fixed replenishment intervals. Management Science, 42(1), 1-18.
    16. Hariga, M.(1993). The inventory replenishment problem with a linear trend in demand. Computers industry Engineering, Vol. 24, No. 2, 143-150.
    17. Hau L. Lee , Kut C. So , Christopher S. Tang (2005). The Value of Information Sharing in a Two-Level Supply Chain. Management Science Volume: 46 | Issue: 5, 626-643
    18. Hariharan, R., & Zipkin, P. (1995). Customer-order information, lead-times, and inventories. Management Science, 41(10), 1599-1607
    19. Lee, H.L.& Whang, S.( 2000). "Information sharing in supply chain", International Journal of Technology Management, 20 (3/4), pp. 373-387.
    20. Lee La Londe, B.& Ginter, J. (2004). The Ohio State University 2003 Survey of
    Career Patterns in Logistics. http://www.clm1.org.
    21. Lee, H.,P. Padmanabhan & Whang, S. (1997a). Information distortion in a supply chain: The bullwhip effect. Management Sci. 43546–558.
    22. Lee, H., P. Padmanabhan & Whang, S. (1997b). The bullwhip effect in supply chains. Sloan Management Rev. 3893–102.
    23. Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in two-level supply chain. Management Science, 46(5), 626-643.
    24. Metters, R. (1997). Quantifying the bullwhip effect in supply chains. Journal of Operations Management, 15, 89-100.
    25. Mitra, A. &Cox,J.F. &Jesse Jr.,R.R.(1984). A note on determining order quantities with a linear trend in demand. J. Opl. Res. Soc. 35, 141-144.
    26. Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E.(1999). Designing and Managing the Supply Chain: Concepts, Strategies, and Cases, McGraw-Hill, London.
    27. Sahin, F. & Robinson, E.P.(2004). Information sharing and coordination in make-to-order supply chains. Journal of Operations Management 33, 579-598.
    28. Sahin, F.& Robinson, E.P.(2002). Flow coordination and information sharing in supply chains: review, implications, and directions for future research. Decision Sciences, Vol 33, no.4, 505-536.
    29. Spengler, J. (1950). Vertical integration and antitrust policy. Journal of Political Economy, 347-352.
    30. Stalk, G., Evans, P. & Shulman, E. (1992). Competing on capabilities: The new rules of corporate strategy. Harvard Business Review, (March-April), 57-59.
    31. Simatupang, T. M. and Sridharan, R. (2001). A Characterization of Information Sharing in Supply Chains, in proceedings of ORSNZ Conference.
    32. Sterman, J.D. (1989). Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3), 321-339.
    33. Wagner, H. M.& Whitin, T. M.(1958). Dynamic Version of the Economic Lot Size Model. Management Science, 5, 1,89-96.
    34. Whang, S.(1995). Coordination in operations: A taxonomy. Journal of Operations Management, Vol.12, 413-422.
    35. Taylor, D. H.(1999). Measurement and analysis of demand amplification across the supply chain. The International Journal of Logistics Management, 10(2), 88-70.

    QR CODE
    :::