臺灣博碩士論文加值系統

由於全球化的發展及整體環境的劇烈競爭下，企業所面臨到的挑戰與日俱增。面對難以預測、繁複且易變的顧客需求時，企業在進行生產規劃的困難性大幅的提升。在現今企業擁有多個廠區之生產環境下，生產規劃之內容、範圍與限制因素相較於單廠規劃而言更顯得複雜。企業在進行生產規劃的同時，必須考量到各廠區間物料及產能資源之整合性與共用性；並須適度的調整及平衡各廠區資源，以避免單一廠區資源短缺或過剩的情形產生。因此，企業必須及時且有效率的監控各廠區間供給與需求之資訊，以便於輔助生產規劃或重新規劃之決策。

因此，本研究欲發展一多廠區銷產協調規劃系統，結合資源協調模擬、分析與警示的功能輔助企業之運籌管理人員進行決策的制定，並提出多廠區間銷產資源的協調機制。本研究並利用代理人(agent)技術，藉由其所具備之自主性、溝通性、合作能力…等特性，透過代理人間相互溝通之合作協定(protocol)，以設計此一多廠區銷產協調系統架構與功能模組，並落實多廠區銷產協調機制之運作，以達到企業之供需平衡。

Under the development of the Globalization and the violent competition of the whole environment, the challenge confronted by enterprises grows day by day. Facing forecast with difficulty, complicated and also variable customer demand, it’s more and more difficult for enterprises making production plans. Enterprises has production environment under several manufacturing sites in the nowadays, comparing with single site, the content, the scope and the limiting factors of the production plan are more complicated. Enterprises while carry on the production plan, must consider to the material and capability resources can be conformability and reusable between each site; And must the moderate adjustment and balance the resources in various sites, avoids the shortage or the surplus situation of sole site. Therefore, the enterprises must prompt of also between the effectiveness monitoring information of the supplies and the demand in various sites, and support planner in decision-making of the production plan or the re-planning.

Therefore, this research wants to develop a multi-site demand-supply balancing system framework which combines resources coordination simulation, analysis, and notification functions to auxiliary headquarter planner in decision-making, and proposed the coordinates mechanism for multi-site demand and supply resources balancing. This research also utilizes the “Agent Technology”, with its independence, communicating, and cooperative ability. By the characteristics of agreement of partnership (protocol), to design the Multi-site demand and supply balancing system architecture and function modules. And carries out the operation for the coordinated mechanism of multi-site demand and supply resources, to achieve supply and demand resources of the enterprise is balanced.

摘要
圖目錄
表目錄
第一章 緒論
1.1 背景動機
1.2 研究問題與目的
1.3 研究方法與步驟
1.4 研究論文架構
第二章 文獻探討
2.1供應鏈
2.1.1供應鏈之探討
2.1.2 供應鏈規劃與管理
2.1.3 供應鏈規劃之需求
2.2 多廠區生產規劃
2.2.1 多廠區之生產架構
2.2.2 多廠區生產規劃之議題
2.3 多重代理人系統
2.3.1 代理人特性
2.3.2 代理人於供應鏈規劃上之應用
2.4 本章結論
第三章 多廠區銷產協調系統架構
3.1一般性多廠區規劃系統架構與議題
3.2多廠區銷產協調系統架構說明
3.2.1 銷產規劃平台概述
3.2.2 銷產協調平台規劃程序
3.2.3 銷產協調平台功能模組與架構
3.3 訂單規劃模組
3.3.1 訂單配置規劃程序
3.3.2 粗略產能評估程序
3.4 資源監控分析模組
3.5資源平衡規劃模組
3.5.1 供需平衡規劃程序
3.5.2 處理程序之細部說明
3.5.3 多廠區銷產協調規劃
3.6 本章結論
第四章 以代理人為基礎之銷產協調平台
4.1 以代理人為基礎之銷產協調平台
4.2 代理人之角色設計
4.2.1 代理人內部結構與功能
4.2.2 訂單代理人
4.2.3 監控代理人
4.2.4 分析代理人
4.2.5 協調代理人
4.3 多廠區銷產協調機制
4.3.1 需求資源變動
4.3.2生產程序變動
4.3.3供給資源變動
4.3.4 多廠區銷產協調規劃
4.4 本章結論
第五章 多廠區銷產協調系統運作說明
5.1 一般規劃程序說明
5.2 銷產協調程序
第六章 結論
6.1 結論
6.2 建議與未來發展

圖1. 1論文架構
圖2. 1流程觀點之供應鏈
圖2. 2供應鏈績效矩陣
圖2. 3 SCM系統之模組
圖2. 4企業資訊系統之缺點
圖2. 5多廠區生產系統的架構
圖2. 6以代理人為主之生產系統架構
圖2. 7以代理人為主之生產系統架構
圖2. 8一般性代理人架構
圖2. 9文獻探討歸納
圖3. 1一般性多廠區生產規劃系統基本架構
圖3. 2多廠區銷產協調系統
圖3. 3多廠區生產規劃層級
圖3. 4銷產協調平台功能模組架構
圖3. 5訂單規劃程序
圖3. 6訂單配置規劃程序
圖3. 7粗略產能評估程序
圖3. 8資源監控分析架構
圖3. 9資源監控分析程序
圖3. 10資源平衡規劃程序
圖3. 11供需平衡規劃程序
圖3. 12品項供需時程介面示意
圖3. 13前推/後推式預測耗用
圖3. 14 Push/Pull供給耗用邏輯
圖3. 15異常事件之分類
圖3. 16多廠區銷產協調規劃步驟流程
圖4. 1多廠區生產規劃程序
圖4. 2代理人內部結構
圖4. 3代理人溝通方式
圖4. 4循序圖之基本結構
圖4. 5訂單代理人規劃程序
圖4. 6監控代理人之規劃程序
圖4. 7目標值監控程序
圖4. 8分析代理人規劃程序
圖4. 9協調代理人規劃程序
圖4. 10多廠區銷產協調規劃程序
圖4. 11訂單變更溝通程序
圖4. 12現場資源異常溝通程序
圖4. 13供應商供貨異常溝通程序
圖4. 14廠內訂單變更規劃程序
圖4. 15廠區間訂單變更規劃程序
圖4. 16廠內工單/採購單變更規劃程序
圖4. 17 廠區間工單/採購單變更規劃程序
圖4. 18廠區間庫存變更規劃程序
圖5. 1規劃時距示意圖
圖5. 2訂單代理人執行畫面
圖5. 3監控代理人執行畫面
圖5. 4資訊代理人與協調代理人溝通示意
圖5. 5 協調代理人規劃邏輯示意
圖5. 6 品項供需時程表
圖5. 7代理人與排程代理人之溝通(1/2)
圖5. 8 ERP代理人與排程代理人之溝通(2/2)
圖5. 9 ERP代理人與執行代理人之溝通
圖5. 10 多廠區銷產協調規劃示意圖
圖5. 11 銷產協調規劃範例 (1/5)
圖5. 12 銷產協調規劃範例(2/5)
圖5. 13銷產協調規劃範例(3/5)
圖5. 14銷產協調規劃範例(4/5)
圖5. 15銷產協調規劃範例(5/5)

表2. 1 全域、區域之建模內容
表2. 2 集中式與分散式系統之比較
表2. 3 代理人類型
表2. 4 代理人之應用與角色
表2. 5 代理人運作系統比較
表3. 1 分析類別與項目
表4. 1 銷產協調平台功能與代理人之對應
表5. 1 訂單基本資料
表5. 2 訂單配置結果
表5. 3 各廠區回饋資訊彙整表

中文
[1].王立志，「系統化運籌與供應鏈管理」，滄海書局，1999。
[2].王世欽，「多廠區生產系統之訂單分配模式 - 以液晶顯示器產業為例」，東海大學工業工程與經營資訊研究所，碩士論文，民國91年。
[3].張哲源，「樣式導向先進規劃與排程系統之發展」，東海大學工業工程與經營資訊研究所，碩士論文，民國91年。
[4].黃彥彰，「TFT-LCD 產業多廠區訂單規劃與排程」，東海大學工業工程與經營資訊研究所，碩士論文，民國92年。
[5].賴穎傑，「多階多廠區生產規劃─以TFT-LCD產業為例」，東海大學工業工程與經營資訊研究所，碩士論文，民國91年。
[6].謝志欣，「供應鏈管理之主規劃排程演算法—以最短路徑演算法滿足所有訂單需求」，台灣大學資訊管理研究所，碩士論文，民國90年。

英文
[7].Ani Calinescu, Janet Efstathiou, Bart MacCarthy, Ian McCarthy, Abhi Deshmukh,, Ian Parmee and Azahar Machwe “Agent-Based Modeling in Manufacturing Supply networks：Potential Benefits And Open Questions”
[8].AMR Research Report November 2004
[9].AME’ RICO L. AZEVEDO, CE’ SAR TOSCANO, JORGE P. SOUSA and ANTO’ NIO L. SOARES, “An advanced agent-based order planning system for dynamic networked enterprises.” Production Planning & Control, Vol. 15, No. 2, March 2004, 133–144
[10].Bongaerts, Luc., “Integration of scheduling and control in holonic manufacturing systems”, 1998.
[11].Beranrd, A., Philippe, C. and Nicolas, M., “Robustness Evaluation ofMultisite Distributed Schedule with Perturbed Virtual Job shops,” Production Planning and Control, 14, 55-67, 2003.
[12].Busch, Axel / Lange, Heiko / Langemann, Timo , [Collaborative, 2002]： Marktstudie：Standardsoftware zum Collaborative Supply Chain Management, 1st ed., AlS /HNI-Verlagsschriftenreihe, (Ed.)：Danglmaier, W., Paderborn 2002.
[13].Demand-Driven Supply Network：SCM Done Right, AMR Research, November 03, 2003.
[14].Ferber, J., Multi-Agent Systems – An Introduction to Distributed Artificial Intelligence, Addison-Wesley, 1999.
[15].Fox, M. S., M., Barbuceanu, and R., Teigen, “Agent-Oriented Supply-Chain Management,” The International Journal of Flexible Manufacturing Systems, Vol.12, pp.165-188, 2000, Kluwer.

[16].Fu-Ren Lin, Gek Woo Tan, Michael J. Shaw, “Modeling Supply-Chain Networks by a Multi-Agent System.” IEEE, 1998.

[17].Huang, C. Y. and S. Y. Nof, “Autonomy and viability-measures for agent-based manufacturing,” International Journal of Production Research, Vol.38, No.17, pp.4129-4148, 2000.
[18].Huang, C. Y. and S. Y., Nof, ”Formation of autonomous agent networks for manufacturing systems,” International Journal of Production Research, Vol.38, No.3, pp.607-624, 2000.
[19].Kilgore, Stacie S. Orlov, Laurie M. Nakashima, Taichi, Grading Apps For Inventory and Order Visibility, The TechnStrategyTM Report, Forrester Research, Cambridge, July 2002.
[20].Klaus, Peter ,Rockl, Günther Vision und Realität des Supply-Chain-Event- Managements – Mit dem Unwägbaren rechnen, In: Computerwoche, Nr.16, from April 18th, 2003, pp.38 – 39.
[21].Lin, Grace et al. “Value Chain Optimization - The Sense-and-Respond Enterprise”, IBM researchers develop integrated SAR system of global value chain optimization, in: Operational Research Management Science Today, April 2002, retrieved from www.lionhrtpub.com/orms/orms-4-02/valuechain.html September 12th, 2003.
[22].Lu, T.P. and Y.H. Yih, “An agent based production control framework for multiple-line collaborative manufacturing,” International Journal of Production Research , Vol.39 , No.10, pp.2155-2176, 2001.
[23].M. G. Gnoni, R. Iavagnilio, G. Mossa, G. Mummolo and A. Di Leva, “Production planning of a multi-site manufacturing system by hybridmodelling: A case study from the automotive industry” Int. J. Production Economics 85 (2003) 251–262
[24].MARIA CARIDI and SERGIO CAVALIERI,”Multi-agent systems in production planning and control: an overview” Production Planning & Control, Vol. 15, No. 2, March 2004, 106–118
[25].McCormack, Kevin Lockamy III, Archie.” Supply Chain Event Management in the B2B Extended Supply Chain: A proposal for a statistical best practice study”, August 25th, 2001.
[26].Mihaela Ulieru, Senior Member, IEEE, and Mircea Cobzaru, ”Building Holonic Supply Chain Management Systems: An e-Logistics Application for the Telephone Manufacturing Industry” , IEEE, 2005
[27].No Author, Automation - Supply Chain Management Solutions for the Internet Generation of Business, retrieved from http://www.stanford.edu/~jlmayer/Article- Webpage.htm June 2nd, 2003.


[28].Oliverira, E., K. Fischer and O. Stepankova, “Multi-agent system：which research for which applications,” Robotics and Autonomous System, Vol.27, pp.91-106, 1999.
[29].Radjou, Navi, SCM Processes Replace Apps: 2003 to 2008, The TechnStrategyTM Report, Forrester Research, Cambridge, December 2002.
[30].Reticular Systems Inc., “AgentBuilder-User’s Guide,”
http://www.agentbuilder.com, 2000.
[31].S. Lakhal , A. Martel, O. Kettani, and M. Oral, “On the optimization of supply chain networking decisions”,. Eumpean Joumol of Operational Research, 129, 259-270.2001.
[32].Sauer J., “ Amulti-site Scheduling System, “ http://www-is.informatik.uni-oldenburg.de/~sauer , 1998
[33].Sauer, J. and H.-J. Appelrath, “Multi-site scheduling with fuzzy concepts,”International Journal of Approximate Reasoning, 19, pp.145-160,1998.
[34].Sauer J. and H.-J.Appelrath, “Integrating transportation in a multi-site scheduling environment,” proceedings of the 33th Hawail International Conference on system sciences,2000.
[35].Sauer J., T. Freese, T. Teschke, “Towards Agent-Based Multi-Site Scheduling.” Proceedings of the ECAI 2000 Workshop on New Results in Planning , 2000.
[36].Shen, W. and Norrie, D.H. “Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey.” Knowledge and Information Systems, an International Journal, 1(2), 129-156, 1999.
[37].Shen, W., Kremer, R., Ulieru, M., and Norrie, D., “A collaborative agent-based infrastructure for Internet-enabled collaborative enterprises,” International Journal of Production Research, Vol. 41, pp. 1621-1638, 2003.
[38].Suleski, Janet /Quirk, Catherine, “Supply Chain Event Management: The Antidote for Next Year’s Supply Chain Pain”, AMR Research, Boston ..., September 2001.
[39].Thaler, Klaus, Supply Chain Management – Prozessoptimierung in der logistischen Kette, 3rd ed., Fortis, Köln/Wien 2001.
[40].Thierry, C., P. Besnard, D. Ghattas and G.. Bel, “Multi-site planning: non flexible production units and set-up time treatment,” IEEE, 1995.
[41].Why DDSN Matters：Supply Chain Professionals Set the Course for Profitable Growth June 02, 2004
[42].Yonghui Fu, Rajesh Piplani, Robert de Souza, Jingru Wu, “MULTI-AGENT ENABLED MODELING AND SIMULATION TOWARDS COLLABORATIVE INVENTORY MANAGEMENT IN SUPPLY CHAINS ” Proceedings of the 2000 Winter Simulation Conference J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, eds.