An ERP-based Business Planning Solution for the global IC Industry

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：9

、訪客IP：3.145.151.116

姓名

林柏辰(Po-Chen Lin) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

(An ERP-based Business Planning Solution for the global IC Industry)

相關論文

★ 企業流程為核心的食品產業運籌體系規劃:低溫物流部份	★ 以企業流程方法規劃整體飛航後勤維修體系之研究
★ 成衣產業導入ERP運籌管理方案之個案研究	★ 光電產業試產基地之生產最佳化模式：以光投影機為例
★ TFT LCD產業獲利因素之探討	★ 科技事業進行合併/讓售之決策過程與成效之個案探討
★ 企業治理、風險及遵循解決方案導入之個案研究-以職責分離資訊系統為例	★ 品質機能展開與多準則決策於設備開發應用
★ ERP導入品質因素對IFRS轉換專案之影響	★ ERP投資金額對服務品質及導入後IT治理目標之分析
★ ERP 導入問題對專案的影響	★ IFRS轉換對員工退休金計畫影響
★ IFRS轉換問題對IFRS效益的影響	★ 電子產業新產品開發參考模式之發展
★ 應用資料科學方法提昇國防裝備可靠度之研究－以防空系統為例	★ 企業資訊方案行銷歷程之探討-以MES為例

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

至系統瀏覽論文 ( 永不開放)

摘要(英)

This paper gives a logistics solution for the global IC industry. In it, a hybrid solution model is proposed. In the viewpoint of semiconductors manufacturing logistics, because of complex product-mix, the planning issues in terms of demand planning, production planning, capacity planning as well as material planning are quite complex and are hard to be considered in an integrated manner. Based on the APS decision framework and middle term business operation planning, the proposed decision model contains two phase: the inbound wafer fabrication phase and final assembly phase. These two decision phases execute dependently and a heuristic method is designed to accommodate the capacity gap between these two phases. Finally, simulation models will test the practicability of the logistics plan and give some suggestion about the operation of a global semiconductors company. The hybrid solution model is suitable for a global semiconductors company which has already implemented the ERP system as their planning platform.

關鍵字(中)

關鍵字(英)

★ ERP (Enterprise Resource Planning)
★ APS (Advance Planning System)
★ Simulation
★ Logistics

論文目次

Table of Contents
Abstract……………………………………………………………………………...Ⅰ
List of Figures………………………………….……………………………………Ⅳ
List of Tables………………………………………………………………………...Ⅵ
Chapter Ⅰ. INTRODUCTION……………………………………………………1
Chapter Ⅱ. LITERATURE REVIEW…………………………………………....5
Chapter Ⅲ. DEVELOPMENT OF A DECISION MODEL…………………......10
Development of Solution…………………………………………………......14
Mathematical Model………………………………………………………....17
Solution Heuristic……………………………………………………………22
Simulation Model………………………………………………………….…25
Chapter Ⅳ. NUMERICAL EXAMPLE………………………………………….30
Numerical Results of Model D-FE………………………………………….35
Numerical Results of Model FE-BE-K…………………………………......41
Application of Simulation Model…………………………………………...46
Application of This Developed Decision Model Under Different Parameter Setup………………………………………………………………………….50
Chapter Ⅴ. CONCLUSIONS AND FUTURE RESEARCHES………………..56
References…………………………………………………………………………..57

參考文獻

2. Bhatnagar, R., Chandra, P., & Goyal, S. K. (1993). Models for multi-plant coordination. European Journal of Operational Research, 67 (2), 141-160.
3. Bhutta, K. S., Huq, F., Frazier, G., & Mohamed, Z. (2003). An integrated location, production, distribution and investment model for a multinational corporation. International Journal of Production Economics, 86 (3), 201-216.
4. Chan, F. T. S., Chung, S. H., & Wadhwa, S. (2004). A heuristic methodology for order distribution in demand driven collaborative supply chain. International Journal of Production Research, 42 (1), 1-19.
5. Choi, S., & Enns, S. T. (2004). Multi-product capacity-constrained lot sizing with economic objectives. International Journal of Production Economics, 91 (1), 47–62.
6. Chou, Y. -C., & Hong, I. -H. (2000). A methodology for product mix planning in semiconductor foundry manufacturing. IEEE Transactions on Semiconductor Manufacturing, 13 (3), 278-285.
7. Choudhury A. K., Tiwari, M. K., & Mukhopadhyay, S. K. (2004). Application of an analytical network process to strategic planning problems of a supply chain cell: case study of a pharmaceutical firm. Production Planning and Control, 15 (1), 13–26.
8. Dhaenens-Flipo, C., & Finke, G. (2001). An integrated model for an industrial production-distribution problem. IIE Transactions, 33 (9), 705-715.
9. Erengüç, Ş. S., Simpson, N. C., & Vakharia, A. J. (1999). Integrated production/distribution planning in supply chains: an invited review. European Journal of Operational Research, 115 (2), 219-236.
10. Gaonkar, R., & Viswanadham, N. (2001). Collaboration and information sharing in global contract manufacturing networks. IEEE/ASME Transactions on Mechatronics, 6 (4), 366-376.
11. Haq, A. N., Vrat, P., & Kanda, A. (1991). An integrated production-inventory-distribution model for manufacturing of urea: a case. International Journal of Production Economics, 39 (1-2), 39-49.
12. Horiguchi, K., Raghavan, N., Uzsoy, R., & Venkateswaran, S. (2001). Finite-capacity production planning algorithms for a semiconductor wafer fabrication facility. International Journal of Production Research, 39 (5), 825–842.
13. Hung Y. -F., & Wang, Q. -Z. (1997). A new formulation technique for alternative material planning-an approach for semiconductor bin allocation planning. Computers and Industrial Engineering, 32 (2), 281-297.
14. Iwata, Y., & Wood, S. C. (2002). Simple cost models of high-process-mix wafer fabs at different capacities. IEEE Transactions on Semiconductor Manufacturing, 15 (2), 267-273.
15. Jang, Y. -J., Jang, S. -Y., Chang, B. -M., & Park, J. (2002). A combined model of network design and production/distribution planning for a supply network. Computers and Industrial Engineering, 43 (1-2), 263-281.
16. Jolayemi, J. K., & Olorunniwo, F. O. (2004). A deterministic model for planning production quantities in a multi-plant, multi-warehouse environment with extensible capacities. International Journal of Production Economics, 87 (2), 99-113.
17. Kim, S., Davis, K. R., & Cox III, J. F. (2003). Investigation of flow mechanisms in semiconductor wafer fabrication. International Journal of Production Research, 41 (4), 681-698.
18. Lee, Y. H., & Kim, S. H. (2002). Production-distribution planning in supply chain considering capacity constraints. Computers and Industrial Engineering, 43 (1-2), 169-190.
19. Lee, Y. H., Jeong, C. S., & Moon, C. (2002). Advanced planning and scheduling with outsourcing in manufacturing supply chain. Computers and Industrial Engineering, 43 (1-2), 351-374.
20. Mallik, S., & Harker, P. T. (2004). Coordinating supply chains with competition: capacity allocation in semiconductor manufacturing. European Journal of Operational Research, 159 (2), 330–347.
21. Moon, C., Kim, J., & Hur, S. (2002). Integrated process planning and scheduling with minimizing total tardiness in multi-plants supply chain. Computers and Industrial Engineering, 43 (1-2), 331-349.
22. Nagendra, P. B., & Das, S. K. (2001). Finite capacity scheduling method for MRP with lot size restrictions. International Journal of Production Research, 39 (8), 1603-1623.
23. Nakatsuka, H. (2002). Derivation and implication of a novel DRAM bit cost model. IEEE Transactions on Semiconductor Manufacturing, 15 (2), 279-284.
24. Paquet, M., Martel, A., & Desaulniers, G. (2004). Including technology selection decisions in manufacturing network design models. International Journal of Computer Integrated Manufacturing, 17 (2), 117-125.
25. Pirkul, H., & Jayaraman, V. (1998). A multi-commodity, multi-plant, capacitated facility location problem: formulation and efficient heuristic solution. Computers and Operations Research, 25 (10), 869-878.
26. Pontrandolfo, P., & Okogbaa, O. G. (1999). Global manufacturing: a review and a framework for planning in a global corporation. International Journal of Production Research, 37 (1), 1-19.
27. Sauer, J., & Appelrath, H. J. (2000). Integrating transportation in a multi-site scheduling environment. Proceedings of the 33rd Hawaii International Conference on System Sciences.
28. Schneeweiss, C. (2003). Distributed decision making in supply chain management. International Journal of Production Economics, 84 (1), 71–83.
29. Schömig, A. K. (2000). OR Problem in der Mikochipfertigung. Symposium on Operation Research, Dresden.
30. Stadtler, H. (2005). Supply chain management and advanced planning-basics, overview and challenges. European Journal of Operational Research, 163 (3), 575-588.
31. Syarif, A., Yun, Y., & Gen. M, (2002). Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approach. Computers and Industrial Engineering, 43 (1-2), 299-314.
32. Takahashi, k., & Nakamura, N. (2004). Push, pull, or hybrid control in supply chain management. International Journal of Computer Integrated Manufacturing, 17 (2), 126-140.
33. Tan, B. (2004). Subcontracting with availability guarantees: production control and capacity decisions. IIE Transactions, 36 (8), 711-724.
34. Thomas, D. J., & Griffin, P. M. (1996). Coordinated supply chain management. European Journal of Operational Research, 94 (1), 1-15.
35. Timpe, C. H., & Kallrath, J. (2000). Optimal planning in large multi-site production networks. European Journal of Operational Research, 126 (2), 422-435.
36. Vercellis, C. (1999). Multi-plant production planning in capacitated self-configuring two-stage serial systems. European Journal of Operational Research, 119 (2), 451-460.
37. Vidal, C. J., & Goetschalckx, M. (1997). Strategic production-distribution models: a critical review with emphasis on global supply chain models. European Journal of Operational Research, 98 (1), 1-18.
38. Yun, Y. -S., & Gen, M. (2002). Advanced scheduling problem using constraint programming techniques in SCM environment. Computers and Industrial Engineering, 43 (1-2), 213-229.

指導教授

呂俊德(Jun-Der Leu)

審核日期

2005-7-16

推文