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系統識別號 U0002-1101201216061300
中文論文名稱 供應鏈系統之兩階段模式探討
英文論文名稱 Two-Staged Programming Model of Supply Chain System
校院名稱 淡江大學
系所名稱(中) 管理科學學系博士班
系所名稱(英) Doctoral Program, Department of Management Sciences
學年度 100
學期 1
出版年 101
研究生中文姓名 邱誌偉
研究生英文姓名 Chih-Wei Chiu
學號 896620092
學位類別 博士
語文別 中文
口試日期 2011-12-30
論文頁數 79頁
口試委員 指導教授-藍俊雄
指導教授-陳海鳴
委員-陳以明
委員-鄧少華
委員-藍天雄
委員-莊忠柱
委員-歐陽良裕
委員-曹銳勤
委員-藍俊雄
中文關鍵字 最適化  供應鏈管理  生產佈置與排程 
英文關鍵字 Optimization  Supply Chain Management  Production Layout 
學科別分類
中文摘要 本研究旨在建構一供應鏈系統,此系統分為兩階段模式,模式一為考慮多規劃期、多產品、多物料、多供應商、多工廠、多經銷商之供應鏈模式(Supply Chain Model),以求解出在各規劃期中,各工廠對各供應商中各原料之最佳採購數量、對各產品之生產數量、運送各產品至各經銷商之最佳數量、儲存各原料和各產品之最佳數量;並同時求出各經銷商對各產品之最佳存貨數量、運送至顧客各產品最佳數量以及對顧客之各產品之最佳缺貨數量策略等;另外在模式一之基礎下,建立一個考慮數量折扣之供應鏈模式,此為模式一之擴張模式。
本研究另建立一生產佈置與排程模式(Production Layout (PL) Model),此為模式二,於模式一中求解出各工廠最佳生產量後,針對各工廠之生產佈置與排程規劃,以提升其生產效率。本研究提供一數量決策工具,提供企業在多期總體供應鏈中做一全盤性的考量及即時性之分析。
本研究的主要貢獻乃提供一兩階段實務模型系統,完整結合各企業之上、下游廠商之供應鏈系統,以及提供工廠生產排程之依據,為決策者在供應鏈管理實務上建立一重要之決策工具。
英文摘要 This study aims to construct a supply chain system by using two stages models. The model 1 is the main frame of supply chain, the multi interval planning, multi-product, multi-materials, multi-supplier, multi-factory, are considered to solve the optimization. The optimal solution of the model 1 include not only the quantities of raw materials purchased from suppliers, the quantities of products produced by the factories, the quantities of raw materials and products stored in factories, but also the quantity of inventory by retailer, the quantity of products transported from factories to customers, and the short quantities of products demanded by customers. Base on model 1 to construct a quantity discounts considered model on supply chain management.
In addition, based on the optimal production quantity of the model 1, the model 2(production layout -PL) is applied to reveal the suggested layout of the production system, that can improve the production efficiency. This study provides a referenced tool to an enterprise on multi-interval planning and production system layout design for a supply chain system.
The major contribution of this research is to present a practical modeling system, which integrates the upstream and downstream firms on a supply chain and their bases of production scheduling. This system provides as an important decision-making platform that managers can use for supply chain management.
論文目次 目錄 I
表目錄 III
圖目錄 V
第壹章 緒論 1
1.1 研究背景與機 1
1.2 研究目的 3
1.3 研究流程 5
第貳章 理論與文獻探討 7
2.1 供應鏈管理 7
2.1.1 供應鏈管理定義 8
2.1.2 供應鏈管理相關獻 13
2.2 生產佈置與排程 21
2.2.1 生產佈置與排程問題之分類 21
2.2.2 生產佈置與排程相關獻 23
第參章 模式建構 31
3.1 研究假設 31
3.2 符號說明 32
3.2.1 模式之註標 32
3.2.2 模式參數 32
3.2.3 模式決策變數 35
3.3 模式建構 36
3.3.1 模式一:供應鏈模式 37
3.3.2 模式一之擴張模式:考慮數量折扣之供應鏈模式 40
3.3.3 模式二: 生產佈置與排程模式 44
第肆章 模式數值範例與敏感性分析 46
4.1 模式數值範例 46
4.2 敏感性分析 59
4.2.1 模式一之敏感性分析 59
4.2.2 模式二之敏感性分析 62
第伍章 結論與建議 68
5.1 結論 68
5.2 建議 70
參考文獻 72


表目錄
表2.1 傳統管理與供應鏈管理比較表 7
表2.2 供應鏈管理定義 9
表2.3 供應鏈管理相關文獻 13
表2.4 生產排程問題之分類 22
表2.5 生產佈置與排程相關文獻 23
表4.1 顧客對產品之訂單需求數量 47
表4.2 供應商供應原料的單位成本 47
表4.3 工廠儲存原料的單位存貨成本 47
表4.4 供應商運送原料至工廠的單位運輸成本 48
表4.5 供應商對原料的供應量上限 48
表4.6 一單位產品所需要原料的數量比率 49
表4.7 工廠生產一單位產品所需的單位製造成本 49
表4.8 工廠生產一單位產品所需的時間 49
表4.9 工廠儲存一單位產品所需的存貨成本 50
表4.10 一單位產品由工廠至經銷商的運輸成本 50
表4.11 經銷商儲存一單位產品所需的存貨成本 51
表4.12 經銷商運送一單位產品至顧客的運輸成本 51
表4.13 經銷商缺貨一單位產品之缺貨懲罰成本 52
表4.14 向供應商採購原料的數量 52
表4.15 供應商運送給工廠原料的數量 53
表4.16 工廠儲存原料及產品的數量 53
表4.17 工廠生產產品的數量 54
表4.18 工廠運送產品至經銷商的數量 54
表4.19 經銷商儲存產品的數量 54
表4.20 經銷商運送產品至零售商的數量 55
表4.21 經銷商對零售商缺貨產品的數量 55
表4.22 工廠各項營運成本 56
表4.23 訂單需求數量變動情況下利潤的改變 60
表4.24 供應量上限變動情況下利潤的改變 61

圖目錄
圖1.1 研究流程圖 6
圖3.1 供應鏈系統 36
圖4.1 生產佈置與排程系統最佳解 58
圖4.2 最佳生產時程圖 59
圖4.3 訂單數量變動情況下利潤的改變 63
圖4.4 訂單數量變動情況下生產時間的改變 64
圖4.5 銷售價格變動情況下利潤的改變 65
圖4.6 銷售價格變動情況下生產時間的改變 65
圖4.7 持有成本變動情況下利潤的改變 66
圖4.8 持有成本變動情況下生產時間的改變 67
參考文獻 1.Allahverdi, A., Ng, C.T., Cheng, T.C.E. and Kovalyov, M. Y. (2008). A Survey of Scheduling Problems with Setup Times or Costs. European Journal of Operational Research, 187(3), 985-1032.
2.Allaoui, H. and Artiba, A. (2004). Integrating Simulation and Optimization to Schedule a Hybrid Flow Shop with Maintenance Constraints. Computers and Operations Research, 47(6), 431-450.
3.Amini, M.W.T., Racer, M. and Nejad, M.G. (2012). Alternative Supply Chain Production-Sales Policies for New Product Diffusion: an Agent-Based Modeling and Simulation Approach. European Journal of Operational Research, 216(2), 301-311.
4.Baker, K.R. (1974). Introduction to Sequencing and Scheduling, Wiley, New York.
5.Balsmeier, P.W. and Voisin, W.J. (1996). Supply Chain Management: A Time-Based Strategy. Industrial Management, 38(5), 24-27.
6.Banerjee, D., Syal, M. and Hastak, M. (2006). Material Flow-based Facility Layout Analysis of a Manufactured Housing Production Plant. Journal of Architectural Engineering, 12(4), 196-206.
7.Baud-Lavigne B., Agard B. and Penz, B. (2012). Mutual Impacts of Product Standardization and Supply Chain Design. International Journal of Production Economics , 135(1) , 50-60.
8.Berry, D., Towill, D.R. and Wadsley, N. (1994). Supply Chain Management in the Electronics Product Industry. International Journal of Physical Distribution and Logistics Management, 24(10), 20-32.
9.Celso M.H., Débora P.R., and André B.M. (2005). Minimizing Earliness and Tardiness Penalties in a Single-machine Problem with a Common Due Date. European Journal of Operational Research, 160(1), 190-201.
10.Cem, S. and Cooper, W. D. (1995). Dye Machine Scheduling and Roll Selection. Production and Inventory Management Journal-Fourth Quarter. 36(4), 64-70.
11.Charnsirisakskul, K., Griffin, P.M. and Keskinocak, P. (2006). Pricing and Scheduling Decisions with Lead-Time Flexibility. European Journal of Operational Research, 171(1), 153–169.
12.Chen, M.S. and Lan, C.H. (2001). The Maximal Profit Flow Model in Designing Multiple-Production-Line System with Obtainable Resource Capacity. International Journal of Production Economics, 70(2), 175-184.
13.Cheng, R., Gen, M. and Tozawa, T. (1995). Minmax Earliness/Tardiness Scheduling in Identical Parallel Machine System Using Genetic Algorithms. Computers & Industrial Engineering, 29(4), 513-517.
14.Cooper, Martha, C. and Ellram (1993). Characteristics of Supply Chain Management and the Implication for Purchasing and Logistics Strategy. The International Journal of Logistics Management, 4(2), 13-24.
15.Chopra, S. and Meindl, P. (2004). Supply chain management: Strategy, Planning, and Operation, 2nd ed., Pearson Prentice Hall, New Jersey.
16.Christopher, M. (1992). Logistics and Supply Chain Management: Strategies for Reducing Costs and Improving Services, 2nd ed., Financial Times/Pitman, London.
17.Ene, M., Galante, G., and Panascia, E. (2005). The Facility Layout Problem Approached Using a Fuzzy Model and a Genetic Search. Journal of Intelligent Manufacturing, 16, 303-316.
18.Fu, M., Askin, R., Fowler, J., Haghnevis, M., Keng, N., Pettinato, J.S. and Zhang, M. (2011). Batch Production Scheduling for Semiconductor Back-End Operations. IEEE Transactions on Semiconductor Manufacturing, 24(2), 249-260.
19.Fumero, Y., Corsano, G. and Montagna, J.M. (2011). Detailed Design of Multiproduct Batch Plants Considering Production Scheduling. Industrial & Engineering Chemistry Research, 50, 6146-6160.
20.Gafarov, E. R., Lazarev, A. A. and Werner, F. (2011). Single Machine Scheduling Problems with Financial Resource Constraints:Some Complexity Results and Properties. Mathematical Social Sciences, 1(1), 7-13.
21.Gao, Z. and Tang, L. (2003). A Multi-Objective Model for Purchasing of Bulk Raw Materials of a Large-Scale Integrated Steel Plant. International Journal of Production Economics, 83(3), 325-334.
22.Garcia, C.A., Ibeas, A., Herrera, J. and Vilanova, R. (2012). Inventory Control for the Supply Chain:an Adaptive Control Approach Based on the Identification of the Lead-Time. Omega, 40(3), 314-327.
23.Garg, A. (1999). An Application of Designing Products and Processes for Supply Chain Management. IIE Transactions, 31(5), 417-429.
24.Graham, R.L., Lawler, E.L., Lenstra, J.K. and Rinnooy Kan., A.H.G. (1979). Optimization and Approximation in Deterministic Sequencing and Scheduling:a Survey. Annals of Discrete Mathematics, 5(2), 287-326.
25.Handfield, R.B. and Nichols, E.L., JR. (1999). Introduction to Supply Chain Management, Prentice-Hall Inc, New York.
26.Haupt, R. (1989). A Survey of Priority Rule-Based Scheduling. OR Spektum, 11(1), 3-16.
27.Houlihan, J. (1984). Supply Chain Management. Proceedings of 19th International Technical Conference of the British Production and Inventory Control Society, 101-110.
28.Hu, S.J. and Koren, Y. (2005). Reconsider Machine Layout to Optimize Production. Manufacturing Engineering, 134(2), 81-90.
29.Irani, S.A. and Huang, H. (2006). Cascading Flow Lines and Layout Modules:Practical Strategies for Machine Duplication in Facility Layouts. International of Journal Flex Manufacture System, 17(2), 119-149.
30.Jayaraman, V. and Pirkul, H. (2001). Planning and Coordination of Production and Distribution Facilities for Multiple Commodities. European Journal of Operational Research, 133(2), 394-408.
31.Jellouli, O. and Chatelet, E. (2001). Monte Carlo Simulation and Genetic Algorithm for Optimizing Supply Chain Management in a Stochastic Environment. IEEE International Conference on Systems, Man, and Cybernetics, 3, 1835-1839.
32.Kalakota, R. and Whinston, A.B. (1996). Frontiers of Electronic Commerce, Addison-Wesley Publishing, MA.
33.Kang, J.H. and Kim, Y.D. (2012). Inventory Control in a Two-Level Supply Chain with Risk Pooling Effect. International Journal of Production Economics, 135(1), 116-124
34.Kopczak, L.R. (1997). Logistics Partnership and Supply Chain Restructuring:Survey Results from the US Computer Industry. Production and Operations Management, 6(3), 226-247.
35.Krüger, D. and Scholl, A. (2010). Managing and Modelling General Resource Transfers in (Multi-)Project Scheduling. OR Spectrum, 32(2), 369–394
36.Kumar, M.S., Islam, M.N., Lenin, N., Kumar, D.V. and Ravindran, D. (2011). A Simple Heuristic for Linear Sequencing of Machines in Layout Design. International Journal of Production Research,
49(22), 6749-6786.
37.Leachman, R.C., Benson, R.F., Liu, C. and Raar, D.J. (1996). IMPReSS: An Automated Production-planning and Delivery-Quotation System at Harris Corporation-Semiconductor Sector. INTERFACES, 26(1), 6-37.
38.Lee, C.Y. (1999). Two-Machine Flowshop Scheduling with Availability Constraints. European Journal of Operational Research, 114(2), 420-429.
39.Lee, H. and Billington, C. (1992). Management Supply Chain Inventory:Pitfalls and Opportunities. Sloan Management Science, 33(3), 65-73.
40.Li, H. and Jiang, D. (2012). New Model and Heuristics for Safety Stock Placement in General Acyclic Supply Chain Networks. Computers & Operations Research, 39(7), 1333-1344.
41.Lin, M.T. (2008). The Single-Row Machine Layout Problem in Apparel Manufacturing by Hierarchical Order-Based Genetic Algorithm. International Journal of Clothing Science and Technology, 20(5), 258-270.
42.Markland, R.E., Darby-Dowman, K.H. and Minor, E.D. (1990). Coordinated Production Scheduling for Make-to-Order Manufacturing. European Journal of Operational Research, 45(2), 155-176.
43.Mansouri, S.A., Gallear, D.A. and Mohammad H. (2012). Decision Support for Build-to-Order Supply Chain Management Through Multiobjective Optimization. International Journal of Production Economics, 135(1) , 24-36.
44.Min, L. and Cheng, W. (1999). A Genetic Algorithm for Minimizing the Makespan in the Case of Scheduling Identical Parallel Machines. Artificial Intelligence in Engineering, 13(4), 399-403.
45.Metz, P.J. (1998). Demystifying Supply Chain Management. Supply Chain Management Review, Winter Iss.
46.Min, H. and Melachrinoudis, E. (1999). The Relocation of a Hybrid Manufacturing/Distribution Facility from Supply Chain Perspectives:A Case Study. Omega, 27(1), 75-85.
47.Mizgier, K.J., Wagner, S., Holyst, M. and Janusz, A. (2012). Modeling Defaults of Companies in Multi-Stage Supply Chain Networks. International Journal of Production Economics , 135(1) , 14-23.
48.Monch, L., Zimmermannb, J. and Ottob, P. (2006). Machine Learning Techniques for Scheduling Jobs with Incompatible Families and Unequal Ready Times on Parallel Batch Machines. Engineering Applications of Artificial Intelligence, 19(3), 235-245.
49.Muth J.F. and G.L. Thompson (1963). Industrial Scheduling, Prentice-Hall, Englewood Cliffs, New Jersey.
50.Nepal, B., Monplaisir, L. and Famuyiwa, O. (2012). Matching Product Architecture with Supply Chain Design. European Journal of Operational Research , 216(2) , 312-325.
51.Newhart, D.D., Stott, K.L. and Vasko, F.J. (1993). Consolidating Product Sizes to Minimize Inventory Levels for a Multi-Stage Production and Distribution Systems. Journal of Operational Research Society, 44(7), 637-644.
52.Park, M.W. and Kim, Y.D. (1997). Search Heuristic for a Parallel Machine Scheduling Problem with Ready Times and Due Dates. Computers and Industrial Engineering, 33(3), 793-796.
53.Parnell, C. (1999). Reshaping Apparel:SCM Enterprise Control. Apparel Industry Magazine, 60(10), 14-18.
54.Petrovic, D., Roy, R. and Petrovic, R. (1998). Modelling and Simulation of a Supply Chain in an Uncertain Environment. European Journal of Operational Research, 109(2), 299-309.
55.Pinedo, M. (2002). Scheduling:Theory, Algorithms and Systems, 2nd ed., Prentice-Hall:Englewood Cliffs, New Jersey.
56.Rajagopalan, S. and Nan, X. (2012). Product Variety, Pricing and Differentiation in a Supply Chain. European Journal of Operational Research , 217(1), 84-93.
57.Robinson, E.P. and Satterfield, R.K. (1998), Designing Distribution Systems to Support Vendor Strategies in Supply Chain Management. Decision Sciences, 29(3), 685-706.
58.Ross, D.F. (1997). Competing Through Supply Chain Management: Creating Market-Winning Strategies Through Supply Chain Partnerships, Chapman & Hall, London.
59.Saunders, M.J. (1995). The Comparative Analysis of Supply Chain and Implications for the Develop of Strategies. London:Seventh Internation IPSERA Conference, 469-477
60.Simchi-Levi, D., Kaminsky, P. and Simchi-Levi, E. (2001). Designing and Managing the Supply Chain:Concepts, Strategies, and Case Studies, McGraw-Hill, Boston:Irwin.
61.Stevens, G.C. (1989). Integrating the Supply Chain. International Journal of Physical Distribution and Materials Management, 19(8), 3-8.
62.Tan, K.C., Kannan, V.J. and Handfield, R.B. (1998). Supply Chain Management:Supplier Performance and Firm Performance. International Journal of Purchasing and Materials Management,
34(3), 2-9.
63.Traham, S. (1989). International Journal of Physical Distribution and Materials Management. Integrating the Supply Chain, 19(8), 3-8.
64.Timpe, C.H. and Kallrath, J. (2000). Optimal Planning in Large Mulit-Site Production Networks. European Journal of Operational Research, 126(2), 422-435.
65.Wang, R.C. and Liang, T.F. (2004). Application of Fuzzy Multi-Objective Linear Programming to Aggregate Production Planning Computers & Industrial Engineering, 46(1), 17-41.
66.Weng, Z.K. (1997). Pricing and Ordering Strategies in Manufacturing and Distribution Alliances. IIE Transactions, 29, 681-692.
67.Xanthopoulos, A., Vlachos, D. and Iakovou, E. (2012). Optimal Newsvendor Policies for Dual-Sourcing Supply Chains:A Disruption Risk Management Framework. Computers & Operations Research , 39(2) , 350-357.
68.Yung, S.K. and Yang, C.C. (1999). Intelligent Multi-Agents for Supply Chain Management. IEEE SMC’99 Conference Proceedings, 2, 528-533.
69.Zhou, Z., Cheng, S. and Hua, B. (2000). Supply Chain Optimization of Continuous Process Industries with Sustainability Considerations. Computers and Chemical Engineering, 24, 1151-1158.
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