臺灣博碩士論文加值系統

在今日全球供應鏈環境的高度競爭及需求快速變化下，縮短前置時間以及相關存貨成本是最重要的課題之一。在過去大部分的研究中，計算成本或利潤時皆未考量到其時間成本，然而在現實生活中快速的通貨膨脹，對於企業已造成不小的影響。因此在本研究中，我們考量了時間成本，發展出一套適用於不可靠環境下的整合存貨模型，並假設可控前置時間的趕工成本為一多項式，利用縮短前置時間而達到最低現值之期望總成本，同時推導出最佳零售商訂購量、最佳前置時間、最佳生產良率以及產品從供應商至零售商的最佳運送次數，以發展出最佳存貨策略演算法，尋求買賣雙方之最低成本。本論文將搭配數值範例以說明此存貨模型的結果。範例結果顯示，不良品的發生會導致此存貨模型之總成本增加。因此，在考慮諸多現實因素下，本論文所提出之整合存貨模型，是非常符合現實環境的新存貨模式，並可供企業作為存貨策略的參考依據。

Due to increasing challenges and changing demand in today’s highly competitive global supply chain environment, reducing lead time and the associated inventory cost are the most important issues in the supply chain. In most of the past studies, they do not consider with time value. However, the effect of inflation is too critical to ignore. So we considered time value and develop an improved integrated inventory model with imperfect quality items and variable lead time crashing cost which determined by the length of lead time is polynomial. It aims at shortening the lead time so as to reduce the present value of integrated inventory joint expected total cost over infinite time horizon. The goal of this paper is to derive simultaneously the optimal order quantity, the length of lead time, process quality and the number of lots which are delivered from the vender to the buyer. Finally, an algorithm procedure of finding the optimal solution is developed, and some numerical examples are given to illustrate results.

中文摘要 i
ABSTRACT i
誌謝 i
CONTENTS ii
LIST OF TABLES iv
LIST OF FIGURES v
Chapter 1 INTRODUCTION 1
1.1 Research Background and Motivation 1
1.2 Research Objectives 3
1.3 Research Scope and Limitation 3
1.4 Research Architecture and Process 4
Chapter 2 LITERATURE REVIEW 6
2.1 JIT Concept 6
2.2 Lead Time 8
2.3 Present Value 9
2.4 Integrated Inventory 9
2.5 Imperfect Quality Items 12
Chapter 3 THE INTEGRATED INVENTORY MODEL WITH PRESENT VALUE AND DEPENDENT CRASHING COST IS POLYNOMIAL 15
3.1 Notations and Assumptions 16
3.2 Mathematical Model 17
3.2.1 The total expected cost for purchaser 17
3.2.2 The total expected cost for vender 18
3.2.3 The present value of the joint expected total relevant cost 19
3.2.4 Solution Procedure 20
3.2.5 Algorithm 22
3.3 Numerical Example 23
3.4 Conclusions 26
Chapter 4 IMPERFECT PRODUCTION PROCESS CONSIDERATION IN THE INTEGRATED INVENTORY MODEL WITH PRESENT VALUE AND DEPENDENT CRASHING COST IS POLYNOMIAL 28
4.1 Notations and Assumptions 28
4.2 Mathematical Model 30
4.2.1 The present value of the joint total cost 30
4.2.2 Solution Procedure 31
4.2.3 Algorithm 33
4.3 Numerical Example 33
4.4 Conclusions 37
Chapter 5 CONCLUSIONS AND FUTURE RESEARCH 38
5.1 Conclusions 38
5.2 Future research 38
REFERENCES 40

[1]A.C. Pan and C.J. Liao, An inventory model under just-in-time purchasing agreements. Production and Inventory Management Journal, vol. 30, no. 1, 1989, 49-52.
[2]Banerjee, A joint economic lot size model for purchaser and vender. Decision Sciences, 1986, 17, 292-311.
[3]Banerjee and S.L. Kim, An integrated JIT inventory model. International Journal of Operations & Production Management, Vol. 15, lss. 9, 1995, 237-244.
[4]C.E. Cheng, An economic order quantity model with demand-dependent unit production cost and imperfect production. IIE Transactions, vol. 23, no. 1, 1991, pp. 23-28.
[5]Charu Chandra and Jānis Grabis, Inventory management with variable lead-time dependent procurement cost. Omega, vol. 36, Issue 5, Oct. 2008, pp. 877-887
[6]Ch. Srinivas and C.S.P. Rao, Consignment stock policy with controllable lead time for effective inventory management in supply chains. International Journal of Manufacturing Technology and Management, v 10, n 2-3, 2007, 161-176.
[7]C.J. Liao and C.H. Shyu, An analytical determination of lead time with normal demand. International Journal of Operations Production Management 11, 1991, 72–78.
[8]C.K. Hahn, P.A. Pinto and D.J. Bragg, Just-in-time production and purchasing. Journal of Purchasing and Materials Management, vol. 19, no. 3, 1983, 2-10.
[9]C.K. Huang, An integrated vendor-buyer cooperative inventory model for items with imperfect quality. Production Planning & Control, vol. 13, no. 4, 2002, pp. 355-361.
[10]C.K. Huang, An optimal policy for a single-vendor single-buyer integrated production-inventory problem with process unreliability consideration. Int. J. Production Economics, vol. 91, no. 1, 2004, pp. 91-98.
[11]C.S. Shi and C.T. Su, Integrated inventory model of returns-quantity discounts contract. Journal of the Operational Research Society, vol. 55, no. 3, 2004, 240-246.
[12]D. Ha and S.L. Kim, Implementation of JIT purchasing: an integrated approach. Production Planning & Control, vol. 8, no. 2, 1997, 152-157.
[13]E.L. Porteus, Optimal lot sizing, process quality improvement and setup cost reduction. Operations Research, vol. 34, no. 1, 1986, pp. 137-144.
[14]G. Yang, R.J. Ronald and P. Chu, Inventory models with variable lead time and present value. European Journal of Operational Research, v 164, n 2, Jul 16, 2005, 358-366.
[15]H. Ding and R.W. Grubbström, On the optimization of initial order quantities. International Journal of Production Economics, v 23, n 1-3, Oct, 1991, 79-88.
[16]H.L. Lee and M.J. Rosenblatt, Simultaneous determination of production cycle and inspection schedules in a production systems. Management Science, vol. 33, no. 9, 1987, pp. 1125-1136.
[17]H.M. Wee and S.T. Law, Replenishment and pricing policy for deteriorating items taking into account the time-value of money. International Journal of Production Economics 71, 2001, 213–220.
[18]J.C.H. Pan and J.S. Yang, A study of an integrated inventory with controllable lead time. International Journal of Production Research, vol. 40, no.5, 2002, 1263-1273.
[19]J.C.H Pan and Y.C. Hsiao, Integrated inventory models with controllable lead time and backorder discount considerations. International Journal of Production Economics, v 93-94, n SPEC.ISS., Jan 8, 2005, 387-397.
[20]J.C.H. Pan, M.C. Lo and Y.C. Hsiao, Optimal reorder point inventory models with variable lead time and backorder discount considerations. European Journal of Operational Research 158, 2004, 488–505.
[21]J.K. Dey, S.K. Mondal and M. Maiti, Two storage inventory problem with dynamic demand and interval valued lead-time over finite time horizon under inflation and time-value of money, European Journal of Operational Research, v 185, n 1, Feb 16, 2008, p 170-194.
[22]J.S. Yang and J.C.H. Pan, Just-in-time purchasing: an integrated inventory model involving deterministic variable lead time and quality improvement investment. International journal of production research, vol. 42, Number 5, 1 March 2004, pp. 853-863
[23]K.J. Chung, A necessary and sufficient condition for the existence of the optimal solution of a single-vendor single-buyer integrated production-inventory model with process unreliability consideration. International Journal of Production Economics, Vol. 113, Issue 1, May 2008, pp.269-274.
[24]Lu Lu, A one-vendor multi-buyer integrated inventory model. European Journal of Operational Research, vol. 81, 1995, 312-323.
[25]L.Y. Ouyang, N.C. Yeh and K.S. Wu, Mixture Inventory Model with Backorders and Lost Sales for Variable Lead Time. The Journal of the Operational Research Society, Vol. 47, No. 6 , 1996, 829-832.
[26]L.Y. Ouyang, C.K. Chen and H.C. Chang, Lead time and ordering cost reductions in continuous review inventory systems with partial backorders. Journal of the Operational Research Society 50, 1999, 1272-1279.
[27]M. Ben-Daya and A. Raouf, Inventory models involving lead time as decision variable. Journal of the Operational Research Society 45, 1994, 579–582.
[28]M. Ben-Daya and M. Hariga, Economic lot scheduling problem with imperfect production processes. Journal of the Operational Research Society, vol. 51, no. 7, 2000, pp. 875-881.
[29]M.K. Salameh and M.Y. Jaber, Economic production quantity model for items with imperfect quality, International Journal of Production Economics. 2000, 64, 59–64.
[30]M.Y. Jaber and A.L. Guiffrida, Learning curves for imperfect production processes with reworks and process restoration interruptions. European Journal of Operational Research, Vol. 189, Issue 1, 16 August 2008, pp. 93-104.
[31]M.J. Rosenblatt and H.L. Lee, Economic production cycles with imperfect production processes. IIE Transactions, vol. 18, 1986, pp. 48-55.
[32]P.A. Hayek and M.K. Salameh, Production lot sizing with the reworking of imperfect quality items produced. Production Planning & Control, vol. 12, no. 6, 2001, pp. 584 – 590.
[33]P.C. Yang and H.M. Wee, Economic ordering policy of deteriorated item for vendor and buyer: an integrated approach. Production Planning & Control, vol. 11, no. 5, 2000, 474 – 480.
[34]P.D. Larson, An inventory model which assumes the problem away: a note on Pan and Liao. Production and Inventory Management Journal, vol. 30, no. 4, 1989, 73-74.
[35]RJ Tersine, Principles of Inventory and Materials Management, North Holland: Amsterdam, 1982.
[36]R.L. Schwaller, EOQ under inspection costs. Production and Inventory Management, vol. 29, no. 3, 1988, pp. 22-24.
[37]R.M. Hill and M. Omar, Another look at the single-vendor single-buyer integrated production-inventory problem. International Journal of Production Research, vol. 44, no. 4, 2006, 791-800.
[38]R.M. Hill, The single-vendor single-buyer integrated production-inventory model with a generalized policy. European Journal of Operational Research, vol. 97, 1997, 493-499.
[39]S. Kar, A.K. Bhunia and M. Maiti, Deterministic inventory model with two level of storage, a linear trend in demand and a fixed time horizon. Computers and Operations Research 28, 2001, 1315–1331.
[40]S.K. Goyal, A joint economic lot size model for purchaser and vendor: A comment. Decision Sciences, 1988, 19, 236-241.
[41]S.K. Goyal and A. Z. Szendrovits, A constant lot size model with equal and unequal size batch shipments between production stages. Engineering Costs and Production Economics, vol. 10, no. 1, 1986, 203-210.
[42]S.K. Goyal and F.Nebebe, Determination of economic production-shipment policy for a single-vendor-single-buyer system. European Journal of Operational Research, vol. 121, 2000, 175-178.
[43]S.K. Goyal and L.E. Cardenas-Barron, Note on: Economic production quantity model for items with imperfect quality - a practical approach. Int. J. Production Economics, vol. 77, 2002, pp. 85-87.
[44]S.K. Goyal and Y.P. Gupta, Integrated inventory models: The buyer-vendor Coordination. Eur. J. Op. Res., 1989, 41, 261-269.
[45]S.K. Goyal, An integrated inventory model for a single supplier-single customer problem. International Journal of Production Research, vol. 15, 1976, 107-111.
[46]S.K. Goyal, A one-vendor multi-buyer integrated inventory model: a comment. European Journal of Operational Research, vol. 82, 1995, pp. 209-210.
[47]S.L. Kim and D. Ha, A JIT lot-splitting model for supply chain management: enhancing buyer-supplier linkage. Int. J. Production Economics, vol. 86, no. 1, 2003, 1-10.
[48]X. Zhang and Y. Gerchak, Joint lot sizing and inspection policy in an EOQ model with random yield. IIE Transactions, vol. 22, 1990, pp. 41-47.
[49]Y. Dong, C.R. Carter and M.E. Dresner, JIT purchasing and performance: an exploratory analysis of buyer and supplier perspectives. Journal of Operations Management, vol. 19, 2001, 471-483.