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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃漢邦 | |
| dc.contributor.author | Yi-Hsiang Lee | en |
| dc.contributor.author | 李逸祥 | zh_TW |
| dc.date.accessioned | 2021-05-19T17:56:26Z | - |
| dc.date.available | 2021-08-30 | |
| dc.date.available | 2021-05-19T17:56:26Z | - |
| dc.date.copyright | 2016-08-30 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-17 | |
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[2] D. J. Closs, T. J. Goldsby, and S. R. Clinton, “Information Technology Influences on World Class Logistics Capability,” International Journal of Physical Distribution & Logistics Management, Vol. 27, No. 1, pp. 4-17, 1997 [3] C. K. M. Lee, W. Ho, G. T. S. Ho, and H. C. W. Lau, “Design and Development of Logistics Workflow Systems for Demand Management with RFID,” International Journal of Expert Systems with Applications, Vol. 38, No. 5, pp. 5428–5437, 2011 [4] M. Keskilammi, L. Sydaぴnheimo, and M. Kivikoski, “Radio Frequency Technology for Automated Manufacturing and Logistics Control. Part 1 : Passice RFID Systems and the Effects of Antenna Parameters on Operational Distance,” International Journal of Advanced Manufacturing Technology, Vol. 21, pp. 769–774, 2003 [5] F. S. Hillier and G. J. Lieberman, Introduction to Operations Research, 7th Edition, Boston: McGraw-Hill, pp. 935-1004, 2001. [6] D. R. Anderson, D. J. Sweeney, T. A. Williams, J. D. Camm, R. Kipp Martin, An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised, 13th Edition, Cincinnati: South-Western College Pub., pp. 453-501, 2011. [7] G. Plenert, “Focusing Material Requirements Planning (MRP) Towards Performance,” European Journal of Operational Research, Vol. 119, No. 1, pp. 91-99, 1999 [8] Y. T. Herer and M. Masin, “Mathematical Programming Formulation of CONWIP Based Production Lines; and Relationships to MRP,” International Journal of Production Research, Vol. 35, No. 4, pp. 1067-1076, 1997. [9] D. A. Smith and C. Smith, “Demand Driven Performance,” 1st Edition, New York: McGraw-Hill Education, pp. 1-21, 2013. [10] C. Ptak and C. Smith, “Orlicky’s Material Requirements Planning,“ 3rd Edition, New York: McGraw Hill Professional Publishing, 2011. [11] R. Miclo, F. Fontanili, M. Lauras, J. Lamothe and B. Milian, “MRP vs. Demand-Driven MRP: Towards an Objective Comparison,” International Conference on Industrial Engineering and Systems Management (IESM), Sevilla, Spain, Vol. 1, pp. 1072-1080, 2015. [12] S. C. Graves, S. P. Willems, “Optimizing Strategic Safety Stock Placement in Supply Chains,” International Journal of Manufacturing and Service Operations Management, Vol. 2, No. 1, pp. 68-83, 2000 [13] A. Bruckner and V. Wrede, “Optimierung der Disposition,” Sonderdruck FIR-Forschungsinstitut für Rationalisierung an der RWTH, Vol. 4, No. 97, 1998. [14] B. E. Flores and D. C. Whybark, “Implementing Multiple Criteria ABC Analysis,” Journal of Operations Management, Vol. 7, No. 1, pp. 79–84, 1987. [15] F. Y. Partovi and W. E. Hopton, “The Analytic Hierarchy Process as Applied to Two Types of Inventory Problems,” Production and Inventory Management Journal, Vol. 35, No. 1, pp. 13–19, 1993. [16] M. A. Cohen, R. Ernst, “Multi-Item Classification and Generic Inventory Stock Control Policies,” Production and Inventory Management Journal, Vol. 29, No. 3, pp. 6–8, 1988. [17] H. A. Guvenir, E. Erel, “Multi-Criteria Inventory Classification Using a Genetic Algorithm,” European Journal of Operational Research, Vol. 105, No. 1, pp. 29–37, 1998. [18] F. Y. Partovi and M. Anandarajan, “Classifying Inventory Using an Artificial Neural Network Approach,” Computers and Industrial Engineering, Vol. 41, No.4, pp. 389–404, 2002. [19] R. Ramanathan, “ABC Inventory Classification with Multiple-Criteria Using Weight Linear Optimization,” Computers and Operations Research, Vol. 33, No. 3, pp. 695–700, 2006. [20] L. N. Wan, “A Simple Classifier for Multiple Criteria ABC Analysis,” European Journal of Operational Research, Vol. 177, No. 1, pp. 344–353, 2007. [21] E. Atashpaz-Gargari and C. Lucas, “Imperialist Competitive Algorithm: An algorithm for Optimization Inspired by Imperialistic Competition,” IEEE Congress on Evolutionary Computation, Singapore, Vol. 1, pp. 4661-4667, 2007. [22] M. L. Fisher, “The Lagrangian Relaxation Method for Solving Integer Programming Problems,” Management Science, Vol. 50, No. 12, pp. 1861-1871, December 2004. [23] H. Chen and P. B. Luh, “An Alternative Framework to Lagrangian Relaxation Approach for Job Shop Scheduling,” European Journal of Operational Research, Vol. 149, No. 3, pp. 499-512, 2003. [24] S. Hosseini and A. A. Khaled, “A Survey on The Imperialist Competitive Algorithm Metaheuristic: Implementation in Engineering Domain and Directions for Future Research,” Applied Soft Computing, Vol. 24, No.1, pp. 1078–1094, 2014. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/7863 | - |
| dc.description.abstract | 傳統的供應鏈中，通常補貨模式是由推式管理的方式來運作，搭配預測，來盡量滿足客戶需求。然而需求的預測十分不精準，在原物料、商品種類過多的情況下，不適當的庫存管理和生產活動必將造成公司的損失，並且侵蝕其獲利水準。
本研究以動態庫存管理 ( Dynamic Buffer Management, DBM )為基礎，發展成多動態多庫存管理 (Dynamic Multi-Buffer Management, DMBM )，以 ABC存貨分析對不同的貨物和原物料分別管理，並給予不同的服務水準以及調整變數，再利用帝國競爭演算法求得最佳的管理變數，並搭配拉格朗日鬆弛法輔以偽梯度法 (Lagrangian Relaxation with Surrogate Sub-Gradient Method)，讓生產到存貨都獲得最佳控制。 希望能推廣DBM，讓企業了解DBM能有助於不同產業公司應對市場需求的變動，並且避免產生大量損失，提升公司應變能力，提高獲利能力。 | zh_TW |
| dc.description.abstract | Forecasting and push system are implemented to help enterprises do the replenishment in traditional supply chain. However, the forecasting is not always accurate. Once the market trend turns down, company has to face the fact of much higher inventory which can significantly affect to profit margin. The more types of products and material the company has, the more difficult to manage.
Based on the Dynamic Buffer Management (DBM), this paper tries to study another way study of Demand-Pull way, Dynamic Multi-Buffer Management (DMBM), to help enterprise to manage multi-products. With ABC classification to manage different type of products and material, Imperialist Competition Algorithm (ICA) is used to find factors of service level and adjustment factors for DMBM. Moreover, Lagrangian Relaxation with Surrogate Sub-Gradient Method is used to make inventory management and manufacturing system coordinated. The proposed method has been used in a company, and the result is satisfactory. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-19T17:56:26Z (GMT). No. of bitstreams: 1 ntu-105-R03546025-1.pdf: 2634397 bytes, checksum: 21c2f275057a7cd7c9a91497726ce2a8 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 誌謝 vi
中文摘要 viii Abstract x List of Tables xvi List of Figures xviii Nomenclature xx Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Literature Reviews 3 1.3 Contribution 7 1.4 Thesis Organization 8 Chapter 2 Background Knowledge 9 2.1 Closed-Loop Logistics (CLL) 9 2.2 Demand Driven Material Requirement Planning 10 2.3 Dynamic Buffer Management (DBM) 11 2.4 ABC Analysis 13 2.5 Imperialist Competitive Algorithm 15 2.6 Lagrangian Relaxation (LR) 19 2.6.1 Surrogate Sub-Gradient Method (SSG method) 19 Chapter 3 Methodologies 23 3.1 Framework of System 23 3.1.1 CLL in Scheduling System 25 3.1.2 CLL in Inventory Mangement System 26 3.1.3 Procedure of System 26 3.2 Scheduling System 29 3.2.1 Problem Formulation 29 3.2.2 Solution of Scheduling Problem 33 3.3 Dynamic Multi-Buffer Management 35 3.3.1 ABC Classification for Products 36 3.3.2 Initialization of DMBM 37 3.3.3 Policies of Inventory Management 37 3.3.4 Factors Finding with ICA 40 3.4 Performance Appraisal 41 Chapter 4 Case Study and Results 43 4.1 Test of Each Framework 43 4.2 Company Introduction 45 4.3 Results of Scheduling System 45 4.3.1 Comparison with Company Data 45 4.3.2 Comparison with Cplex 47 4.4 Results of Inventory System 49 4.4.1 Results of ABC Classification 49 4.4.2 Results of ICA 53 4.4.3 Comparison with Company’s Historical Data 61 4.5 Results of Whole System 63 4.5.1 Comparison with inventory management system 63 4.5.2 Comparison with Company’s Historical Data 70 4.6 Comparison with DMBM and Whole System 72 Chapter 5 Conclusions and Future Works 75 5.1 Conclusion 75 5.2 Future Works 75 References 77 | |
| dc.language.iso | en | |
| dc.title | 藉多動態庫存管理設計閉迴路運籌 | zh_TW |
| dc.title | Closed-Loop Logistics Based on Dynamic Multi-Buffer Management | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 侯建良,郭人介 | |
| dc.subject.keyword | 動態庫存管理,拉格朗日鬆弛法,拉式生產, | zh_TW |
| dc.subject.keyword | Dynamic Buffer Management,Lagrangian Relaxation with Surrogate Sub-Gradient Method,Demand-Pull, | en |
| dc.relation.page | 80 | |
| dc.identifier.doi | 10.6342/NTU201603213 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2016-08-19 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| 顯示於系所單位： | 工業工程學研究所 | |
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