企業朝全球運籌、專業分工、產品生命週期縮短、大量客製化等趨勢營運；未來將是供應鏈與供應鏈之間的競爭。建立具有競爭優勢的供應鏈體系，必須以各個體制健全的企業為基礎；因此，企業內及企業間活動如何有效快速傳達、同步規劃、快速回應、降低成本、提高顧客滿意度等，已成為企業經營的重要課題。
企業資源規劃系統(ERP)是企業資訊系統核心，其規劃邏輯係建立在物料需求規劃及製造資源規劃的邏輯上，此系統假設產能無限，適用於需求穩定的市場、環境。但是，環境是變動的、產能是有限的，典型的ERP系統並無法掌握實際的產能、確實物料取得前置時間、訂單差異性並且缺乏即時可靠的允諾機制以及最佳化供需平衡。先進規劃排程(APS)在於修正、強化ERP系統，係應用較為先進的管理規劃技術，並藉助強大的電腦運算與資訊儲存功能，在考量企業整體所面臨的資源限制下，將所有生產活動的功能模組或作業流程，整合在同一個策略架構，同步對企業內以及企業間的生產、採購、配銷等作業活動，進行最佳化的供需平衡規劃與生產排程處理，藉以提供即時、有效的決策參考。
值此快速變化的市場以及多變的競爭環境，不銹鋼產業的供應鏈規劃排程系統也需要因應發展趨勢、生產資源限制以及多點供需環境等變動因素而預先同步規劃、即時回應。本研究依不銹鋼產業特性，運用APS的概念建立不銹鋼供應鏈管理之規劃架構；並將應用此規劃架構進行個案分析、與未使用APS的系統比較。結果顯示：藉由APS輔助中上游不銹鋼業ERP系統，可即時反應現場及需求變動而快速回應、平衡上下製程產能並快速重新規劃準確可行的生產計劃。ERP系統輔以APS規劃排程，可使不銹鋼業快速因應原料延遲、生產現場產能變化而預知瓶頸產線、快速重新排程、提高產能利用率並兼顧獲利與顧客滿意。景氣變化時，ERP系統輔以APS規劃排程，可使不銹鋼業在景氣轉好時，適度選擇訂單、提高產能利用率並兼顧獲利及顧客滿意；景氣轉不好時，也可以在成品庫存的控管下提高產能利用率並滿足顧客需求。

The increasing complexity of manufacturing control is caused by the trend towards globalization, mass customization, shortened product life cycle and the myriad materials, facilities, trading partners and trading relationships. One of the greater challenges facing management in the current global market is the management of the supply chain systems. In the future, the competition between the supply chains will be there. Therefore, one of the important issues for enterprise to be more competitive is to create a powerful system that provides real-time order promise dates, quick response, synchronized planning, projected delivery dates and production launch control. This approach is getting more important for one corporation to response to customer’s requirements and reduces operation costs.
Enterprise Resource Planning (ERP) is the core of enterprise information system, has its origin in Manufacturing Requirement Planning (MRP) solutions and assumes that capacity to manufacture is infinite. Such traditional material planning approach should be used in an environment with stable demand. But the characteristics of current industry are short production cycle time and fluctuating demand. Advanced Planning and Scheduling (APS) solutions are based on mathematical formula or algorithm. They keep the most current information about the availability and movement of resources in their computer memory. Simultaneously, APS considers all relevant constraints including machines, raw materials, items, workers, setup workers, due dates and earliest start times along with information from the work calendar and various scheduling options.
The trends currently affecting management are the demand of faster response and precise delivery date. APS is an advanced technology that it mainly focuses on balancing the supply and demand of intra and inter enterprises by considering the limited enterprise resources.
Scheduling to find the best sequence of operations along with the associated machines to satisfy certain criteria has an important role to play in improving the factory efficiency. In order to meet with the demand and consider the production restrictions, the challenge of the stainless steel production planner should coordinate the schedule of all plants and improve the utilization. The objective of this research is to develop a stainless steel industry reference model including demand planning, supply planning, capacity balancing and the analysis of performance. After designing the model, some scenarios of the case research company, a cold rolled stainless steel plant, will be simulated. In addition, we will also compare with other planning model without APS. By these simulations, we can make some management suggestion and prove the practical value of this model. The results show that the material and capacity can be synchronously arranged to solve the problem of production planning inside an enterprise. This model can also help corporations to plan/replan within the manufacturing limitations or bottlenecks to decide the optimal production quantities, material purchasing quantities and material inventory quantities that would balance the corporation’s profits and meet with the customer’s demands.

1. 王立志，1999。系統化運籌與供應鏈管理，台中：滄海書局。
2. 王立志，2003。供應鏈實戰手冊，台中：鼎誠資訊。
3. 石孟勳，2002。鋼鐵業冷軋平板類供應鏈營運流程系統功能整合，國立中山大學企業管理研究所未出版碩士論文。
4.何存正，2002。台灣鋼鐵，台北：台灣區鋼鐵同業公會。
5.朱思頻，2002。從訂單差異性觀點建立供應鏈管理之先進規劃排程系統，屏東科技大學工業工程管理研究所未出版碩士論文。
6.朱克雄，1995。專家系統在生產排程上的應用--以中鋼公司煉鋼廠為例，國立中山大學企業管理研究所未出版碩士論文。
7.李偉銘，2001。台灣本土化傳統產業轉型至電子化企業之研究－以企業資源規劃(ERP)實務應用為例，國立台灣科技大學資訊管理研究所未出版碩士論文。
8.林宜萱 譯，2002。供應鏈高績效管理，台北：經營管理叢書。
9.陳國瑛，2002。鋼鐵業資訊整合大師-專訪中冠資訊總經理吳宗啟，台北：鋼鐵資訊。
10. 張嘉仁，2001。金屬產業電子商務之發展與機會前瞻，高雄：金屬工業研究發展中心。
11. 葉涼川 譯，2001。電子商業：理論與實例，台北：培生教育出版集團。
12. 鄭漢中，2002。以電子化供應鏈主生產排程系統降低前置時間之研究，國立成功大學工業管理科學研究所未出版碩士論文。
13.蔡與哲，2000。運用先進規劃排程之概念建立多廠生產的資源分配與生產規劃模式，國立台灣大學商學研究所未出版碩士論文。
14.蔣光智，2000。高科技電子產業供應鏈管理系統之採用與應用，國立中山大學資訊管理研究所未出版碩士論文。
15. 劉世平 譯，1999。ERP與電子化，台北：商周出版。
16. 謝仲為，2002。先進規劃與排程系統應用於TFT-LCD產業之研究，東海大學工業工程與經營資訊研究所未出版碩士論文。
17. C. Sophie Lee (2001), Modeling the business value of information technology, Information & Management, 39, pp.191-210.
18. Iiro Harjunkoski, Ignacio E. Grossmann (2001), A decomposition approach for the scheduling of a steel plant production, Computers and Chemical Engineering, 25, pp.1647-1660.
19. J. Schumacher (2000), A framework for batch-operation analysis within the context of disturbance management, Computers and Chemical Engineering, 24, pp.1175-1180.
20. K.-H. Chang and W.-F. Chen (2003), Admission control policies for two-stage tandem queues with no waiting spaces, 30, pp.589-601.
21. Lixin Tang, Jiyin Liu, Aiying Rong and Zihou Yang (2000), A mathematical programming model for scheduling steelmaking-continuous casting production, European Journal of Operational Research, 120, pp.423-435.
22. Lixin Tang, Jiyin Liu, Aiying Rong and Zihou Yang (2000), A multiple traveling salesman problem model for hot rolling scheduling in Shanghai Baoshan Iron & Steel Complex, European Journal of Operational Research, 124, pp.267-282.
23. Matthias Holweg, John Bicheno (2002), Supply chain simulation – a tool for education, enhancement and endeavour, Int. J. Production Economics, 78,pp.163-175.
24. MESA (2002), Conference & Exposition, http://www.mesa.org.
25. Morris A. Cohen (1991), Sangwon Moon, An integrated plant loading model with economies of scale and scope, European Journal of Operational Research, 50, pp.266-279
26. M. KURODA, H. SHIN and A. ZINNOHARA (2002), Robust scheduling in an advanced planning and scheduling environment, International Journal of Production Research, 40(15), pp.3655-3688.
27. Ryoji Tamura, Megumi Nagai, Yoshiyuki Nakagawa, Takashi Tanizaki and Hirohi Nakajima (1998), Synchronized Scheduling Method in Manufacturing Steel Sheets, Int. Trans. Opl Res., 5(3), pp.189-199.
28. R. Bruce McAfee Myron Glassman and Earl D. Honeycutt,Jr.(2002), The effects of culture and human resource management policies on supply chain management strategy,Journal of Business Logistics， 23(1),pp.1-18.
29. www.apsinsight.com