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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 蔣明晃 | |
| dc.contributor.author | Che-Hao Chang | en |
| dc.contributor.author | 張哲豪 | zh_TW |
| dc.date.accessioned | 2021-06-08T07:28:05Z | - |
| dc.date.copyright | 2008-07-11 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-07-08 | |
| dc.identifier.citation | [1] 吳瑋恩(2007) , 在滿足客製化下運用共同料概念進行產品設計之研究, 碩士論文, 台大商學研究所, 台北.
[2] 劉曉蓉(2003) , 考慮共同物料下之製造商最佳化可允諾量分配模型, 碩士論文, 台大商學研究所, 台北. [3] Agarwal, Y. K., “Design of Capacitated Multicommodity Networks with Multiple Facilities” Operation Research, Vol.50, No.2, 333-344, 2002. [4] Azadivar, F. and Wang, J., “Facility layout optimization using simulation and genetic algorithms”, International Journal of Production, Vol.38 No.17, 4369-4383, 2000. [5] Baker, K.R., Magazine, M.J. and Nuttle, H.L.W., “The effect of commonality on safety stocks in a simple inventory model”, Management Science, 32, 982-988, 1986. [6] Bonneville, F., Perrard, C. and Henrioud, J.M., “A Genetic Algorithm to Generate and Evaluate Assembly Plans” Proceedings of the IEEE Syposium in Emerging Technology and Factory Automation, 231-239, 1995. [7] Bradley, J. R. and Glynn, P. W., “Managing Capacity and Inventory Jointly in Manufacturing Systems”, Management Science, Vol.48, No.2, 273-288, 2002. [8] Chopra, S. and Meindl, P., “Supply Chain Management, Prentice Hall, 2004. [9] Christopher, M., Logistics and Supply Chain Management. London: Pitman Publishing, 1992. [10] Collier, D.A., “The measurement and operating benefits of component part commonality”, Decision Science, 12, 85-96, 1981. [11] Collier, D.A., “Aggregate safety stock levels and component part commonality”, Management Science, 28, 1296-1303, 1982 [12] Das, P., “Multi-Item Inventory Problems Revisited Using Genetic Algorithm”, International Journal of Management Sicence, Vol.13, No.2, 2007 [13] Erengüç, Ş. S., Simpson, N.C., and Vakharia, A.J., “Integrated production/ distribution planning in supply chains: an Invited review”, European Journal of Operational Research, 115, 219-236, 1999. [14] Eynan, A., “The impact of demands’ correlation on the effectiveness of component commonality”, International Journal of Production Research, 34, 1581-1602, 1996. [15] Eynan, A. and Rosenblatt, M.J., ”Component Commonality Effects on Inventory costs”, IIE Transaction, 28, 93-104, 1996. [16] Fontanili, F., Vincent, A., and Ponsonnet R., “Flow simulation and genetic algorithm as optimization tools”, International Journal of Production Economics, Vol.64, 91-100 2000. [17] Gerchak, Y., Magazine, M.J. and Gambe, A.B., ”Component commonality with service level requirements”, Management Science, 34, 753-760, 1988. [18] Gerchak, Y. and Henig, M., “Component commonality in assemble-to-order system: models and properties”, Naval Research Logistics, 36, 61-68,1989. [19] Goldberg, D. E., “Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley”, 1989. [20] Hiller, M.S., “Product commonality in multiple-period, make-to-stock system”, Naval Research Logistics, 46, 737-751, 1999. [21] Hiller, M.S., “Component commonality in multiple-period, assemble-to-order systems”, IIE Transactions, 32, 755-766, 2000. [22] Hiller, M.S., “The costs and benefits of commonality in assemble-to-order systems with a (Q,r)-policy for component replenishment” European Journal of Operational Research, 141, 570-586, 2002. [23] Hsu, V. N., Li, C. L. and Xiao, W. Q., ”Dynamic lot size problems with one-way product substitution”, IIE Transactions, 37, 201-215, 2005. [24] Jönsson, H. and Silver, E.A., “Common component inventory problems with a budget constraint: Heuristics and upper bounds”, Engineering Costs and Production Economics, 18, 71-81, 1989. [25] Lim, S., “Solving Robust EOQ Model Using Genetic Algorithm”, International Journal of Management Sicence, Vol.13, No.1, 2007 [26] Nix, A. E. and Vose, M. D., ”Modeling genetic algorithms with Markov chains”, Annals of Mathematics and Artificial Intelligence, 5, 79-88,1992. [27] Rao, U. S., Swaminathan, J. M. and Zhang, J., “Multi-product inventory planning with downward substitution, stochastic demand and setup costs”, IIE Transaction, 36, 59-71, 2004. [28] Rosling, K., ”Inventory Cost Rate Functions With Nonlinear Shortage Costs”, Operation Research, Vol.50, No.6, 1007-1017, 2002. [29] Scarf, H. E., “Inventory Theory”, Operation Research, Vol.50, No.1, 186-191, 2002. [30] Senin, N., Goppetti, R. and Wallace, D. R., “Concurrent Assembly Planning with Genetic Algorithms”, Robotics and Computer Integrated Management, 65-72, 2002. [31] Song, J. S., “Order-Based Backorders and Their Implications in Multi-Item Inventory Systems”, Management Science, Vol.48, No.4, 499-516, 2002. [32] Swaminathan, J. M. and Tayur, S. R., “Managing Broader Product Lines through Delayed Differentiation Using Vanilla Boxes”, Management Science, Vol.44, No.12, 1998. [33] Wacker, J.G. and Trevelen, M., “Component part standardization: an analysis of commonality sources and indices”, Journal of Operations Management, 6, 219-244, 1986. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/26836 | - |
| dc.description.abstract | 隨著市場上消費者對於產品的多樣性需求增加，企業也不斷研發各式各樣的產品以滿足消費者的需求。但是企業在開發產品時，若是沒有完善的事前規劃，隨著產品種類增加，所需要的原物料種類也會隨之上升，造成管理上的困難以及物料存貨的積壓。
本研究從企業利潤的觀點出發，考量產品與原物料之間的配置關係，提出一個藉由共同性物料的概念統一不同產品間部分的原物料，以精簡原物料種類的方式，建立最適化產品與原物料配置情況之模型，並利用從企業得到的實際資料，結合基因演算法的概念進行模型求解，希望能夠提供一個最適的產品生產數量以及產品與物料配置情況給企業做參考。 透過本研究提出的模型，配合實際資料以及導入基因演算法的觀念求解，我們可以發現當企業變更目前產品與物料的配置情況，透過使用共同性物料的效益，將可以有效的減少企業在生產產品時的成本，同時也可以藉由減少原物料的種類，降低企業在管理物料上的困難。 此外透過敏感度分析可以發現當訂購成本低於一定水準時，企業的最佳策略是維持企業原始的產品與物料模組配置關係；隨著訂購成本增加，企業將可以針對部分設置成本較低的生產線進行變動，透過共同性物料的效益來減低訂購成本，使得企業的利潤增加；當訂購成本超過一定水準時，企業最佳策略是將所有產品的原物料都統一成共同性物料，以減少製造的成本，增加企業利潤。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2021-06-08T07:28:05Z (GMT). No. of bitstreams: 1 ntu-97-R95741051-1.pdf: 967741 bytes, checksum: 05a28cb78dca2ecc512baa88830ac18d (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | 謝詞 i
摘要 ii Abstract iii 目錄 iv 表目錄 vi 圖目錄 vii 第一章 緒論 1 1.1研究動機 1 1.2研究目的 2 1.3研究架構 3 1.4論文架構 4 第二章 文獻探討 5 2.1 供應鏈管理(Supply Chain Management) 5 2.2 共同性物料 6 2.2.1共同性物料模型 6 2.2.2共同性物料指標 7 2.3 基因演算法(Genetic Algorithm, GA) 9 2.4 小結 10 第三章 模型建立與求解 12 3.1模型情境說明 12 3.2模型建立 13 3.2.1基本假設 13 3.2.2符號說明 13 3.2.3 數學模型 16 3.2.4 數學模型說明 17 3.3.1 模型分析 18 3.3.2 線性規劃 19 3.3.3.1 重新分組 20 3.3.3.2 模型成本特性分析 21 3.3.3.3 選擇母代(parents) 22 3.3.3.4 交配(Crossover) 23 3.3.3.5 突變(Mutation) 24 3.3.4 疊代求解 25 第四章 情境分析 26 4.1 目前狀況與實際資料敘述 26 4.1.1 資料 26 4.1.2 與實際資料相關的假設 34 4.2 情境分析 34 4.2.1 原始情境 35 4.2.2 最適模組配置 36 4.2.3 訂購成本之敏感度分析 37 4.3 小結 39 第五章 結論與未來研究方向 40 5.1研究結論 40 5.2研究貢獻 41 5.3研究限制 41 5.4未來研究方向 41 參考文獻 42 | |
| dc.language.iso | zh-TW | |
| dc.subject | 共同性物料 | zh_TW |
| dc.subject | 產品設計 | zh_TW |
| dc.subject | 基因演算法 | zh_TW |
| dc.subject | Genetic Algorithm | en |
| dc.subject | Common Components | en |
| dc.subject | Product Design | en |
| dc.title | 運用共同性物料概念於商品設計之研究 | zh_TW |
| dc.title | Applying the Concept of Common Commonality on Product Design | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 郭瑞祥 | |
| dc.contributor.oralexamcommittee | 吳政鴻,郭人介 | |
| dc.subject.keyword | 共同性物料,產品設計,基因演算法, | zh_TW |
| dc.subject.keyword | Common Components,Product Design,Genetic Algorithm, | en |
| dc.relation.page | 44 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2008-07-08 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 商學研究所 | zh_TW |
| Appears in Collections: | 商學研究所 | |
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| File | Size | Format | |
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| ntu-97-1.pdf Restricted Access | 945.06 kB | Adobe PDF |
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