考慮需求變動與品質改善之整合存貨模式研究｜國立臺灣科技大學博碩士論文系統

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研究生：	張皋維 Kao-Wei Chang
論文名稱：	考慮需求變動與品質改善之整合存貨模式研究 A Study of Integrated Inventory Models with Varying Demand and Quality Improvement
指導教授：	潘昭賢 Chao-Hsien Pan
口試委員:	歐陽超 Chao Ou-Yang 許總欣 Tsung-Shin Hsu
學位類別：	碩士 Master
系所名稱：	管理學院 - 工業管理系 Department of Industrial Management
論文出版年：	2007
畢業學年度：	95
語文別：	英文
論文頁數：	47
中文關鍵詞：	整合存貨管理、前置時間、品質改善、缺貨後補率、市場需求率
外文關鍵詞：	Integrated inventory; Lead time; Quality Improve
相關次數：	點閱：170 下載：4
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一般JIT生產可降低存貨前置時間和存貨成本，在實務上更需要買賣雙方互相合作才行。在一個製造的環境下，一個長期且令人滿意的合約是小批量物件且多次運送的情況以使得購買者的存貨持有成本能夠最小化。在過去多數的研究中，都假設年需求為固定且已知。在此篇論文中，我們希望發展出一種存貨模型以尋求整合存貨雙方模型的最佳策略，其中假設需求為一變動的函數並牽涉到品質改善、訂購成本的降低和售價影響之市場需求率的影響，藉由同時最佳化訂購數量、生產品質改善和小批量運送之次數來達到最小化訂購／設置成本、持有成本品質改善投資成本和縮短前置時間所需要之成本。並且透過一個實例來說明整個演算過程。

The Just-in-Time (JIT) production shown that there are advantages and benefits associated with the efforts to reduce inventory lead time and the associated inventory cost, requires a new spirit of cooperation between the buyer and the vendor. In such a manufacturing environment, a satisfied condition in long time purchase agreement is the frequent delivery of small quantities of items so as to minimize inventory holding cost for the purchaser. As we known, most of the published data assume that the annual demand is deterministic. In this thesis, we hope to develop an inventory model to look for the optimal strategy for the integrated vender-buyer inventory model in which we assume that the demand is the varying function and investigates the impact of quality improvement, ordering cost reduction and the price-sensitive market demand rate to minimize the sum of the ordering/setup cost, holding cost, quality improvement investment and crashing cost by simultaneously optimizing the order quantity, process quality and number of deliveries. Then, an algorithm procedure is developed in order to find that the total cost is minimal, and a numerical example is given to illustrate the solution procedure.

摘要I
ABSTRACTII
ACKNOWLEDGEMENTSIII
CONTENTSIV
TABLE INDEXV
FIGURE INDEXVI
CHAPTER 1  INTRODUCTION1
CHAPTER 2  NOTATIONS AND ASSUMPTIONS4
2.1Notations4
2.2Assumptions5
CHAPTER 3  MODEL FORMULATION7
3.1Basic Model7
3.2Vendor’s total expected cost per unit time7
3.3Invest in quality improvement and rework items9
3.4Buyer’s total expected cost per unit time10
3.5Joint total expected cost per unit time12
CHAPTER 4  NUMERICAL EXAMPL13
4.1Solution Procedure13
4.2Algorithm15
4.3Numerical example17
CHAPTER 5EXPERIMENTAL DESIGN AND ANALYSIS21
5.1Sensitivity Analysis21
5.2Discuss23
CHAPTER 6  CONCLUSIONS25
REFERENCES26
APPENDIX29
Appendix 1: Derivation of Eq.(17)29
Appendix 2: Derivation of Eq.(21)30
Appendix 3: Derivation of Eq. (22) and (23)34
Table A-1 The solution of p = 8035
Table A-2 The solution of p = 9036
Table A-3 The solution of p = 10036
Table A-4 The solution of p = 11037
Table A-5 The solution of p = 12037

                                

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