(3.220.231.235) 您好!臺灣時間:2021/03/07 11:23
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:李硯群
論文名稱:零售商策略合作下之供應鏈存貨管理模式建構
論文名稱(外文):The Development of a Supply Chain Model with Retailer Pooling
指導教授:吳建文吳建文引用關係
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:生產系統工程與管理研究所
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2001
畢業學年度:89
語文別:中文
論文頁數:89
中文關鍵詞:供應鏈存貨管理策略合作前置時間系統模擬基因演算法
外文關鍵詞:Supply Chain inventory managementpool risklead-timesimulation-optimizationgenetic algorithm
相關次數:
  • 被引用被引用:51
  • 點閱點閱:481
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:164
  • 收藏至我的研究室書目清單書目收藏:8
如何採行有效的存貨管理策略以滿足消費者持續變動與不固定性的需求,是供應鏈存貨管理的首要任務。在供應鏈的通路中,若零售商之間能夠在風險共擔(risk pooling)的共識下分享彼此的存貨資源,則可以減少供應鏈的銷售損失成本與存貨持有成本。此外,由日本豐田式即時生產(JIT)可知前置時間是可以控制與縮短,雖然縮短前置時間可以提高服務水準、降低缺貨率與存貨成本,但相對的必須付出額外的前置時間控制成本,因此必須取得一最佳的前置時間使供應鏈的總存貨成本最低。
本研究是在零售商策略合作下,建立供應鏈的最佳存貨管理模式。為了能從整體動態的角度探討供應鏈的存貨問題,本研究以系統模擬的技術建構供應鏈的物流架構與供應鏈成員的存貨策略,再以電腦模擬的方法模擬各種存貨決策。在進行供應鏈的電腦模擬時,本研究發現在供應鏈的通路體系中,某一成員決策的調整會影響供應鏈的利潤與行動,這證明了各成員的決策間實存在著密切與複雜的關係,若想達成供應鏈的最佳化必須考慮所有的決策變數。因此,本研究的最後將使用基因演算法(Genetic Algorithm , GA)進行供應鏈最佳存貨決策解與最佳前置時間解的搜尋,為供應鏈的存貨管理建構一個接近最佳化的決策。
One prominent task for Supply Chain inventory management is to meet consumers’ unstable demands. Two approaches are widely adopted for this purpose. First, it is to allow retailers to pool risk and share inventory with each other. Secondly, it is to shorten the lead-time by introducing additional resources. Both approaches improve the supply chain performance and incur extra costs.
In this thesis, a simulation-optimization approach is employed for risk pooling and lead-time shortening in the supply chain. Simulation is performed to study the dynamic behavior of the supply chain. Since decisions made by one facility would affect all other facilities in the supply chain, we utilize the genetic algorithm to find the optimal solutions for the supply chain. Performance evaluation is reported.
摘要i
Abstractii
誌謝iii
目次iv
表目錄vi
圖目錄vii
第一章 緒論1
1.1 研究背景與動機1
1.2 研究目的4
1.3 研究方法5
1.4 研究限制與範圍6
1.5 研究步驟與流程7
第二章 文獻探討8
2.1 供應鏈管理8
2.1.1 供應鏈的定義與內涵8
2.1.2 供應鏈管理的定義、內涵與效益9
2.2 存貨管理13
2.2.1 存貨控制系統13
2.2.2 存貨管理成本14
2.3 供應鏈之存貨管理15
2.3.1 供應鏈之長鞭效應15
2.3.2 供應鏈存貨管理模型17
2.4 前置時間19
2.5 零售商策略合作21
2.6 模擬最佳化(Simulation Optimization)23
2.6.1 系統模擬(System Simulation)23
2.6.2 最佳化演算法24
2.6.3 模擬最佳化的應用32
第三章 供應鏈存貨管理模型之建構35
3.1 前言35
3.2 模型設計36
3.2.1 供應鏈之模型設計36
3.2.2 模擬系統建模的程序40
3.2.3 基因演算法模式43
3.2.4 供應鏈模擬最佳化47
3.3 符號說明47
3.3.1 供應鏈的決策變數47
3.3.2 供應鏈之參數48
3.3.3 模擬最佳化之參數50
第四章 供應鏈模擬與模擬最佳化52
4.1 供應鏈模擬52
4.1.1 調整存貨控制決策之模擬52
4.1.2 調整前置時間之模擬61
4.2 供應鏈之模擬最佳化70
第五章 結論與建議73
5.1 結論73
5.2 研究貢獻74
5.3 後續研究建議74
參考文獻75
參考文獻
[1]Robert B.Handfield, Ernest L.Nichols, Jr. ,Introduction to Supply Chain Management, Prentice-Hall,1999.
[2]H.L. Lee and C. Bollington, “Material Management in Decentralized Supply Chains”, Operation Research, Vol.41, No.5, pp.835-847, 1993.
[3]Johansen, S. G., A. Thorstenson, “Optima and Approximate (Q,r) Inventory Policies with Lost sales and Gamma-Distributed Lead Time”, International Journal of Production Economics, Vol.30, pp.179-194, 1993.
[4]Sita Bhaskaran, “Simulation Analysis of a Manufacturing Supply Chain”, Decision Sciences, Vol.29, No.3, pp.633-657, 1998.
[5]Rabinowitz, G., A. Mehrez, C. W.Chu, B. E. Patuwo, “A Partial Backorder Control for Continuous Review(r,Q) Inventory System with Poisson Demand and Constant Lead Time”, Computer and Operations Research, Vol.27, No.7, pp.689-700, 1995.
[6]Ravichandran, N., “Stochastic Analysis of a Continuous Review Perishable Inventory System with Positive Lead Time and Poisson Demand”, European Journal of Operational Research, Vol.84, No.1, pp.444-457, 1995.
[7]Tersine, R. J., Principle of Inventory and Materials Management, North Holland, New York, 1982.
[8]CSIM user’s guide, Mesquite Software, Inc., 1993.
[9]George Tagaras, ”Pooling in Multi-location Periodic Inventory Distribution Systems”, Omega, Vol.27, pp.39-59, 1999.
[10]Ben-Daya, M. and A.Raouf, “Inventory Models Involving Lead Time as a Decision Variable”, Journal of the Operational Research Society, Vol.45, No.5, pp.579-582, 1994.
[11]Forrest, J.W., Industrial Dynamics, MIT Press, 1961.
[12]Johnson, J. and L.G. Mattson, “Interorganizational Relations in Industrial Systems:A Network Approach Compared with the Transactional Cost Aproach”, Intrenational Studies of Management & Organization, Vol.XVII, No. 1, pp.34-48, 1987.
[13]Christopher, M., “Logistics and Supply Chain management”, Pitman Publishing, 1992.
[14]Frentzel, D.G. and Sease, G.J., “Logistic-Taking Down the Wall”, Annual Conference Proceeding, CLM, pp.643-654, 1996.
[15]Michael E. Poter, Victor E. Millar , How information gives you competitive advantage, Harvard Business Review, July-August , pp.149-160, 1985.
[16]Ellram, L.M., “Supply Chain Management, Partnerships and the Shipper-thrid Party Relationship”, The international Journal of Logistics Management, pp. 1-10, 1990.
[17]Bowersox, D.J., “Logistics Paraerns of Logistical Organization”, Journal of Business Logistics, pp.65-80, 1987.
[18]Houlihan, J.B., “International Supply Chains: A New Approach, Management Decision, 26(3), 1988.
[19]Bechtel, C. and J. Jayaram, Supply Chain Management:A Strategic Perspective, The International Journal of Logistics Management, pp15-34, 1997.
[20]Ellram, L.M., “A Managerial Guideline for the Development and Implement of Purchasing Partnership”, International Journal of Purchasing and Materials Management, Summer, pp.2-6, 1991.
[21]Cooper, M.C., Lisa M.E., “Characteristics of Supply Chain Management and Implication for Purchasing and Logistics Strategy”, The International Journal of Logistics Management, Vol.4, No.2, pp.16, 1993.
[22]林清河博士,物料管理,修訂版,華泰書局,民國84年。
[23]Prasanna V. Manyem, Dr. Daryl Santos, “Factors that Influence the Bullwhip Effect and its Impact on Profitability:A Simulation Study on Supply Chains”, 4th International Conference on Industrial Engineering Theory, Applications and Practice.
[24]Lee, H.L. and S. Whang, “Information Distortion in a supply chain:The Bullwhip Effect”, Management Science, Vol.43, No.4, 1997.
[25]Lee, H.L. and S. Whang, “The Bullwhip Effect in Supply Chains”, Sloan Management Review, pp.93-102, 1997.
[26]Towill, DR., and A.D. Vecchio, “The applicatin of filter theory to the study of supply chain dynamics”, Production planning and control, Vol.5, pp.82-96, 1994.
[27]Hau L.Lee, V. Padamanabhan, “The bullwhip Effect in supply chains”, SLOAN Management Review, pp93-101, spring 1997.
[28]Clark, A.J., Scarf,H., “Optimal policies for a multi-echelon inventory problem”, Management Science, Vol.6, No.4, pp.475-490, 1960.
[29]Geoffrion, A.M.,Graves, G.W., ”Multicommondity distribution system design by Benders decomposition”, Management Science, Vol.20, No.5, pp.822-844,1974.
[30]Williams, J.F., ”Heuristic techniques for simultaneous scheduling of production and distribution in multi-echelon structures:Theory and empirical comparisons”, Management Science, Vol.27, No.3, pp.336-352, 1981.
[31]Thomas, D.J., Griffin, P.M., “Coordinated supply chain management”, European Journal of Operation Research, Vol.94, pp.1-15, 1986.
[32]Cohen, M.A., Lee, H.L., “Strategic analysis of integrated production-distribution system:Models and methods”, Operation Research, Vol.36, No.2, pp.216-228, 1988.
[33]Debodt, M., S.C. Graves, “Continious review policies for a multi-echelon inventory problem with stochastic demand”, Management Science, Vol.31, pp.1286-1299, 1985.
[34]Federgruen, A., Zipkin, P., “Approximations of Dynamic Multilocation Production and Inventory Problems”, Management Science, Vol.30, pp.69-84, 1984.
[35]Schmidt, C., S. Nahmias, “Optimal Policy for a Two-Stage Assembly System Under Random Demand”, Operations Research, Vol.33, pp.1130-1145, 1985.
[36]Rosling, K., “Optimal Inventory Policies for Assembly Systems Under Random Demand”, Operations Research, Vol.37, pp.565-579, 1989.
[37]Sherbrooke, C.C., ”METRIC:A Multi-Echelon Technique for Recoverable Item Control”, Operations Research, Vol.16, pp.122-141, 1968.
[38]Benita M.B., “Supply chain design and analysis:Models and methods”, International journal of production economics, Vol.55, pp.281-294, 1998.
[39]Cohen, M.A., Lee, H.L., “Resource deployment analysis of global manufacturing and distribution networks”, Journal of Manufacturing and Operations Management, Vol.2, pp.81-104, 1989.
[40]Cohen, M.A., Moon, S., “Impact of production scale economics, manufacturing complexity, and transportation costs on supply chain facility networks”, Journal of Manufacturing and Operation Management, Vol.3, pp.269-292, 1990.
[41]Arntzen, B.C., Brown, G.G., Harrison, T.P., and Trafton,L.L., “Global supply chain management at Digital Equipment Corporation, Interface 25/1, pp.69-93, 1995.
[42]Pyke, D.F., Cohen, M.A., “Performance characteristics of stochastic integrate production-distribution system”, European Journal of Operation Research, Vol.68, No.1, pp.23-48, 1993.
[43]Pyke, D.F., Cohen, M.A., “Multi-product integrated production-distribution system”, European Journal of Operation Research, Vol.74, No.1, pp.18-49,1994.
[44]D.P. Christy, J.R. Grout, “Safeguarding supply chain relationships”, International Journal of Production Economics, Vol.36, pp.233-242, 1994.
[45]Towill, D.R., Naim, M.M., Wikner, J., “Industrial dynamics simulation models in the design of supply chains”, International Journal of Physical Distribution and Logistics Management, Vol.22, pp.3-13, 1992.
[46]Sita Bhaskaran, “Simulation Analysis of a Manufacturing Supply Chain”, Decision Sciences, Vol.29, No.3, pp.633-657, 1998.
[47]Anna Sobotka, PH.D. Eng, ” Inventory Control:A Simulation and Decision Support System”, Simulation , Vol.71, No.3, pp.141-153, 1998.
[48]Liao, C.J. and C.H. Shyu, “Stochastic Inventory Model with Controllable Lead Time”, International Journal of Systems Science, Vol.22, No.11, pp.2347-2354, 1991.
[49]Quyan, L.Y., N.C. Yeh and K.S. Wu, “Mixture inventory model with backorders and lost sales for variable lead time”, Journal of Operational Research Society, Vol.47, pp.829-832, 1996.
[50]Chi Chiang, Genaro J. Gutierrez, “A Periodic Review Inventory System with Two Supply Modes”, European Journal of Operational Research, Vol.94, pp.527-547,1996.
[51]Axsater, S., “Modeling emergency lateral transshipments in inventory systems”, Management Science, Vol.36, pp.1329-1338, 1990.
[52]Robinson, L.W., “Optimal and approximate policies in multi-period, multi-location inventory models with transshipments”, Operations Research, Vol.38, pp.278-295,1990.
[53]Tagaras G., Cohen M.A., “Pooling in two-location inventory inventory systems with non-negligible replenishment lead time”, Management Science, Vol.38, pp.1067-1083, 1992.
[54]Ricki G. Ingalls, ”The Value of Simulation in Modeling Supply Chains”, Winter Simulation Conference, pp.1371-1375, 1998.
[55]屠益民、王傳義,零售業進、銷、存貨系統之整體動態決策研究,國立中山大學企業研究所,民國83年。
[56]Law, A.M., and Kelton, D.W., Simulation Modeling and Analysis, New York: McGraw-Hill.
[57]黎漢林、許景華、李明純、張李志平,供應鏈管理與研究-最佳化方法之運用-,儒林圖書公司,89。
[58]Jeremy Padmos, Bill Hubbard, Tom Duczmal, Slim Saidi, “How i2 Integrates Simulation in Supply Chain Optimization”, Winter Simulation Conference, pp.1350-1355, 1999.
[59]F. Fontanili, A.Vincent, R. Ponsonnet, ” Flow Simulation and Genetic Algorithm as Optimization Tools”, International Journal of Production Economics, Vol. 64, pp.91-100, 2000.
[60]L.Tautou, H.pierreval, “Using Evolutionary Algorithms and Simulation for the Optimization of Manufacturing Systems”, IEEE, pp.509-516, 1995.
[61]Zbigniew Michalewicz, Genetic algorithms + data structures = evolution programs, Berlin : Springer-Verlag , 1994.
[62]Hicks D.A., ” A Four Step Methodology for Using Simulation and Optimization Technologies in Strategic Supply Chain Planning”, Winter Simulation Conference, pp.1215-1220, 1999.
[63]Dijin Gong, Genji Yamazaki, Mitsuo Gen, “Evolutionary Program for Optimal Design of Material Distribution System”, IEEE, pp.139-143, 1996.
[64]K.L.Mak, Y.S.Wong,”Design of Integrated Production-Inventory-Distribution Systems Using Genetic Algorithm”, IEE, Conference Publication, No.414, pp.454-460, 1995.
[65]Joachim Stender, Parallel Genetic Algorithms:Theory & Application, 1992.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔