§ 瀏覽學位論文書目資料
  
系統識別號 U0002-2806202012160600
DOI 10.6846/TKU.2020.00811
論文名稱(中文) 一般化信用交易條件下某些生產存貨模型之研究
論文名稱(英文) A study of some production inventory models under generalized trade credit
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 管理科學學系博士班
系所名稱(英文) Doctoral Program, Department of Management Sciences
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 108
學期 2
出版年 109
研究生(中文) 黃千修
研究生(英文) Chien-Hsiu Huang
學號 800620154
學位類別 博士
語言別 繁體中文
第二語言別
口試日期 2020-06-06
論文頁數 102頁
口試委員 指導教授 - 歐陽良裕
共同指導教授 - 楊志德(ctyang@uch.edu.tw)
委員 - 陳坤盛(kschen@ncut.edu.tw)
委員 - 戴忠淵(cydye@stu.edu.tw)
委員 - 曹銳勤(rctsaur@mail.tku.edu.tw)
委員 - 陳水蓮(slchen@mail.tku.edu.tw)
關鍵字(中) 供應鏈
生產與存貨
不良品
退化
預付-現金-信用交易
關鍵字(英) supply chain
production and inventory
defective products
deterioration
Advance-Cash-Credit payments
第三語言關鍵字
學科別分類
中文摘要
存貨管理是企業經營者掌握適當物品,在適當的時間,以適當的數量,有效整合上、下游作業流程,賺取最大利潤或付出最少成本的一種經營管理模式。完善的存貨管理需考量許多實務的議題,例如在實際商業交易行為中,供應商為了吸引新顧客上門,或希望零售商增加訂購量,通常會允許買方在收到物品的一段時間後才支付貨款。另外,在進貨物品中,對於物品的完好度或新鮮度而言,假若物品因退化或腐敗而造成缺陷或新鮮度不足,會使需求率下滑。
面對激烈的市場競爭及產銷環境的瞬息變化,企業必須透過供應鏈體系的整合,減少不良品,提高品質,全面提升運作效率。進一步,為了降低物品的不良率,通常供應商會投資資金改善製程或設備,但若所投資的資金過於龐大,供應商便會降低投資意願。從供應鏈管理的角度思考,如果供應鏈成員能協議共同分擔資金投資來共同改善生產製程或設備,不僅可提高供應商的投資意願;當不良率降低到某一水準或以下時,零售商亦可對收到物品進行免檢而節省檢驗成本。
又當生產成本很高或採購金額很大時,供應商會要求零售商預先支付一部分金額作為訂單履約的保障;接著,在零售商收到物品時再支付一部分的購買費用,剩餘的貨款則允許可以無息在一段信用交易期間後才付清。這種一般化的信用交易條件,稱之為預付-現金-信用交易。
本文是在供應商提供信用交易的條件下考慮一些存貨模型。在第二章,我們探討供應商提供二選一信用交易條件下物品中含有不良品並且允許缺貨的供應鏈生產和存貨模型,模型中假設如果零售商每次訂購量超過規定的門檻,則運輸費用全數由供應商自行吸收;否則,由零售商負擔。第三章在供應商提供零售商預付-現金-信用交易條件下,考慮市場需求率同時與零售商存貨水準以及售價有關之退化性物品的存貨問題。其中零售商對其顧客也提供信用交易,並且貨架上物品陳列空間有限制。第四章主要是在供應商提供零售商預付-現金-信用交易付款條件並且零售商也對其顧客提供信用交易的情況下,探討含有不良品的供應鏈生產與存貨模型。其中,物品的不良率可藉由供應商和零售商雙方的共同投資資金加以改善。對以上各章,我們以計量方法建立適當的數學模型,並透過數量分析,分別求得最佳的生產與訂購策略(第二章);最佳的銷售價格與訂購策略(第三章),和最佳的投資、生產與訂購策略(第四章),使得對應的目標函數總利潤有最大值。每章均分別舉例說明其求解過程,並做敏感度分析以瞭解參數值變動對最佳解所造成的影響。最後,第五章則提出本研究的結論及未來的研究方向。
英文摘要
Inventory management is an operation and management model in which enterprise managers master the right items, at the right time, in the right quantity, and effectively integrate the upstream and downstream operation processes to earn maximum profit or pay minimum cost. To do a good job in inventory management, many practical issues need to be considered. For example, in the actual business transaction, to attract new customers or increase the order quantity, the supplier usually allows the retailer to pay for the goods after a period of time. In addition, if the item is defective or lacks freshness due to deterioration or decay, the demand will decline.
In the face of fierce market competition and rapid changes in the production and marketing environment, enterprises must try to reduce defective products, improve quality, and improve overall operational efficiency through the integration of supply chain systems. However, reducing defective products or improving quality requires investment. If the investment amount is huge, it will reduce the supplier’s willingness invest. Thinking from the perspective of supply chain management, if the members of the supply chain can agree to share the capital investment to improve the production process or equipment, it not only can promote the supplier’s willingness to invest but also can save the retailer’s cost of the goods received without inspection as the proportion of defective products drops to a certain level or below.
When the production cost is high or the purchase amount is large, the supplier will ask the retailer to pay a part of the amount in advance to ensure the order fulfillment; then, he will pay a part of purchase fee as receiving the items, and the remaining payment is allowed to be paid off after a period of credit transaction without interest. This generalized credit transaction procedure is called 'Advance-Cash-Credit payments'.
This dissertation studies some inventory models utilizing the condition that suppliers provide credit transactions. In Chapter 2, it discusses the supply chain production and inventory system where the supplier provides two-part trade credit policy conditions, the goods contain defective products and the shortages are allowed. The proposed model assumes that if the retailer's order quantity exceeds the specified threshold, then all transportation costs are absorbed by the suppliers themselves; otherwise, they are paid by the retailers. Chapter 3 considers the inventory problem of deteriorating items with stock-and price-dependent demand under Advance-Cash-Credit payments. Additionally, the retailer also provides trade credit to its customers, and there is limited space for the display space of items on the shelves. Chapter 4 mainly develops the supply chain production and inventory model with defective products when the supplier provides the retailer Advance-Cash-Credit payments and the retailer also provides trade credit to its customers. In the model, the rate of defective goods can be reduced by the joint investment of both the supplier and retailer. For the above chapters, we establish appropriate mathematical models by measurement method, and obtain the optimal production and ordering strategies (Chapter 2); the optimal pricing and ordering strategies (Chapter 3) and optimal investing, production and ordering strategies (Chapter 4) to maximize the corresponding total profits. Each chapter separately illustrates the solution process and sensitivity analysis to understand the impact of changes of parameters on the optimal solution. Finally, Chapter 5 presents the conclusions and future research directions of this study.
第三語言摘要
論文目次
表目錄	IV
圖目錄	V
通用符號一覽表	VI
第1章 緒論	1
1.1 研究動機與目的	1
1.2 文獻探討	3
1.2.1 信用交易	4
1.2.2 供應鏈	4
1.2.3 不良品	5
1.2.4 退化性物品	7
1.3 本文所建立的模型和相關研究之比較	8
1.4 結構	11
第2章 二選一信用交易條件下物品中有不良品並且允許缺貨的最佳生產與訂購策略	13
2.1 符號與假設	13
2.1.1 符號	13
2.1.2 假設	14
2.2 模型的建立	15
2.2.1 問題描述	15
2.2.2 供應商的利潤函數	16
2.2.3 零售商的利潤函數	18
2.2.4 供應鏈的總利潤函數	24
2.3 模型求解	25
2.4 數值範例	31
2.5 小結	36
第3章 預付-現金-信用交易條件下關於需求與存貨水準及售價有關的退化性物品之存貨模型	38
3.1 符號與假設	38
3.1.1 符號	38
3.1.2 假設	39
3.2 模型的建立	39
3.2.1 問題描述	39
3.2.2 零售商的單位時間總利潤函數	40
3.3 模型求解	49
3.4 數值範例	51
3.5 小結	56
第4章 考慮品質改善的投資與預付-現金-信用交易條件之整合存貨模型	58
4.1 符號與假設	58
4.1.1 符號	58
4.1.2 假設	59
4.2 模型的建立	60
4.2.1 問題描述	60
4.2.2 零售商單位時間的利潤函數	61
4.2.3 供應商單位時間的利潤函數	66
4.2.4 供應鏈單位時間的整合總利潤函數	69
4.3 模型求解	70
4.4 數值範例	80
4.5 小結	87
第5章 結論	88
5.1 主要研究成果	88
5.2 未來研究方向	91
參考文獻
1	Abdullah, E. and Gultekin, O. (2007). An economic order quantity model with defective items and shortages. International Journal of Production Economics, 106(2), 544-549.
2		Aggarwal, S. P. and Jaggi, C. K. (1995). Ordering policies of deteriorating items under per-missible delay in payments. Journal of the Operational Research Society, 46 (1), 658-662.
3		Banerjee, A. (1986). A joint economic-lot-size model for purchaser and vendor. Decision sciences, 17(3), 292-311. 
4		Cárdenas-Barróna, L. E., Teng, J. T., Treviño-Garza, G., Wee, H. M. and Lou, K. R. (2012). An improved algorithm and solution on an integrated production-inventory model in a three-layer supply chain. International Journal of Production Economics, 36(2), 384-388. 
5		Chan, W. M., Ibrahim, R. N. and Lochert, P. B. (2003). A new EPQ model: integrating lower pricing, rework and reject situations. Production Planning & Control, 14(7), 588-595. 
6		Chang, C. T., Ouyang, L. Y. and Teng, J. T. (2003). An EOQ model for deteriorating items under supplier credits linked to ordering quantity. Applied Mathematical Modelling, 27 (12), 983-996.
7	Chang, C. T., Ouyang, L. Y., Teng, J. T., Lai, K. K. and Cárdenas-Barrón, L. E. (2019). Manufacturer’s pricing and lot-sizing decisions for perishable goods under various payment terms by a discounted cash flow analysis. International Journal of Production Economics, 218(12), 83-95.
8		Chang, H. C., Ho, C. H., Ouyang, L. Y. and Su, C. H. (2009). The optimal pricing and order-ing policy for an integrated inventory model when trade credit linked to order quantity. Ap-plied Mathematical Modelling, 33(7), 2978-2991.
9	Chang, H. J. and Dye, C. Y. (1999). An EOQ model for deteriorating items with time varying demand and partial backlogging. Journal of the Operational Research Society, 50(11), 1176-1182.
10	Chiu, Y. P. (2003). Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging. Engineering Optimization, 35(4), 427-437.
11		Chung, K. J. and Hou, K. L. (2003). An optimal production run time with imperfect produc-tion processes and allowable shortages. Computers and Operations Research, 30(4), 483-490.
12		Cohen, M. A. (1977). Joint pricing and ordering policy for exponentially decaying inventory with known demand. Naval Research Logistics Quarterly, 24(2), 257-268.
13		Covert, R. P. and Philip, G. C. (1973). An EOQ model for items with Weibull distribution deterioration. American Institute of Industrial Engineers transactions, 5(4), 323-326.
14		Das, B. C., Das, B. and Mondal, S. K. (2014). An integrated inventory model with delay in payment for deteriorating item under Weibull distribution and advertisement cum price-dependent demand. International Journal of Operational Research, 20(3), 341-368.
15		Datta, T. K. (2017). Inventory system with defective products and investment opportunity for reducing defective proportion. Operational Research, 17(1), 297-312.
16		Dye, C. Y., Chang, H. J. and Teng, J. T. (2006). A deteriorating inventory model with time-varying demand and hortagedependent partial backlogging. European Journal of Oper-ational Research, 172(2), 417-429.
17		El Saadany, A. M. A. and Jaber, M. Y. (2010). A production/remanufacturing inventory model with price and quality dependent return rate. Computers & Industrial Engineering, 58(3), 352-362.
18	Emery, G. W. (1987). An optimal financial response to variable demand. Journal of Financial and Quantitative Analysis, 22(2), 209-225.
19		Ghare, P. M. and Schrader, G. F. (1963). A model for exponentially decaying inventory. Journal of industrial Engineering, 14(5), 238-243.
20		Giri, B. C. and Sharma, S. (2015). An integrated inventory model for a deteriorating item with allowable shortages and credit linked wholesale price. Optimization Letters, 9(6), 1149-1175.
21		Goyal, S. K. (1976). An integrated inventory model for a single supplier-single customer problem. International Journal of Production Research, 15 (1), 107-111.
22	Goyal, S. K. (1985). Economic order quantity under conditions of permissible delay in pay-ments. Journal of the Operational Research Society, 36 (4), 335-339.
23	Goyal, S. K. (1988). A joint economic-lot-size model for purchaser and vendor: a comment. Decision sciences, 19(1), 236-241. 
24	Groenevelt, H., Pintelon, L. and Seidmann, A. (1992). Production lot sizing with machine breakdowns. Management Science, 38(1), 104-123. 
25	Halim, K. A., Giri, B. C. and Chaudhuri, K. S. (2009). Fuzzy EPQ models for an imperfect production system. International Journal of Systems Science, 40(1), 45-52.
26		Hong, J. D. (1997). Optimal production cycles, procurement schedules, and joint investment in an imperfect production system. European Journal of Operational Research, 100(3), 413-428.
27		Hou, K. L. and Lin, L. C. (2004). Optimal production run length and capital investment in quality improvement with an imperfect production process. International Journal of Systems Science, 35(2), 133-137.
28		Hsu, J. T. and Hsu, L. F. (2013). An EOQ model with imperfect quality items, inspection er-rors, shortage backordering, and sales returns. International Journal of Production Econom-ics, 143(1), 162-170.
29		Huang, Y. F. (2003). Optimal retailer's ordering policies in the EOQ model under trade credit financing. Journal of the Operational Research Society, 54(9), 1011-1015.
30		Jaggi, C. K., Kapur, P. K., Goyal, S. K. and Goel, S. K. (2012). Optimal replenishment and credit policy in EOQ model under two-levels of trade credit policy when demand is influ-enced by credit period. International Journal of System Assurance Engineering and Man-agement, 3(4), 352-359.
31		Kang, C. W., Ullah, M. and Sarkar, B. (2018). Optimum ordering policy for an imperfect single-stage manufacturing system with safety stock and planned backorder. The International Journal of Advanced Manufacturing Technology, 95(1-4), 109-120.
32	Kazemi, N., Abdul-Rashid, S.H., Ghazilla, R.A.R., Shekarian, E. and Zanoni, S. (2018). Economic order quantity models for items with imperfect quality and emission considerations. International Journal of Systems Science: Operations & Logistics, 5(2), 99-115.
33		Khan, M., Jaber, M. Y. and Ahmad, A. R. (2014). An integrated supply chain model with er-rors in quality inspection and learning in production. Omega, 42(1), 16-24.
34		Khan, M., Jaber, M. Y., Guiffrida, A. L. and Zolfaghari, S. (2011). A review of the extensions of a modified EOQ model for imperfect quality items. International Journal of Production Economics, 132(1), 1-12. 
35		Khanra S., Ghosh, S. K. and Chaudhuri, K. S. (2011). An EOQ model for a deteriorating item with time dependent quadratic demand under permissible delay in payment. Applied Mathematics and Computation, 218(1), 1-9.
36		Khanra, S., Mandal, B. and Sarkar, B. (2013). An inventory model with time dependent de-mand and shortages under trade credit policy. Economic Modelling, 35, 349-355.
37		Kim, C. H. and Hong, Y. (1999). An optimal production run length in deteriorating produc-tion processes. International Journal of Production Economics, 58(2), 183-189.
38	Lai, X., Chen, Z., Giri B. C. and Chiu, C.H. (2015). Two-echelon inventory optimization for imperfect production system under quality competition environment. Mathematical Problems in Engineering, 2015(1), 1-11.
39	Lashgari, M., Taleizadeh, A. A. and Sana, S. S. (2016). An inventory control problem for de-teriorating items with back-ordering and financial considerations under two levels of trade credit linked to order quantity. Journal of Industrial and Management Optimization, 12(3), 1091-1119.
40		Lee, H. L. and Rosenblatt, M. J. (1987). Simultaneous determination of production cycles and inspection schedules in a production system. Management Science, 33(9), 1125-1136. 
41		Lee, H. L. and Rosenblatt, M. J. (1989). A production and maintenance planning model with restoration cost dependent on detection delay. IIE Transactions, 21(4), 368-375.
42		Li, R., Chan, Y. L., Chang, C. T. and Cárdenas-Barrón, L. E. (2017). Pricing and lot-sizing policies for perishable products with advance-cash-credit payments by a discounted cash-flow analysis. International Journal of Production Economics, 193(11), 578-589.
43		Li, R., Liu, Y., Teng, J. T. and Tsao, Y. C. (2019). Optimal pricing, lot-sizing and backorder-ing decisions when a seller demands an advance-cash-credit payment scheme. European Journal of Operational Research, 278(1), 283-295.
44		Lin, C. C. and Lin C. W. (2011). Defective item inventory model with remanufacturing or replenishing in an integrated supply chain. International Journal of Integrated Supply Man-agement, 6(3-4), 254-269.
45		Lin, Y. J., Ouyang, L. Y. and Dang, Y. F. (2012). A joint optimal ordering and delivery policy for an integrated supplier–retailer inventory model with trade credit and defective items. Applied Mathematics and Computation, 218(14), 7498-7514.
46		Lu, L. (1995). A one-vendor multi-buyer integrated inventory model. European Journal of Operational Research, 81(2), 312-323. 
47		Maddah, B. and Jaber, M. Y. (2008). Economic order quantity for items with imperfect quality: Revisited. International Journal of Production Economics, 112(2), 808-815.
48	Mahata, P., Mahata, G. C. and De, S. K. (2018). Optimal replenishment and credit policy in supply chain inventory model under two levels of trade credit with time-and credit-sensitive demand involving default risk. Journal of Industrial Engineering International, 14(1),31-42.
49		Mishra, U., Cárdenas-Barrón, L. E., Tiwari, S., Shaikh, A. A. and Treviño-Garza, G. (2017). An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment. Annals of Operations Re-search, 254(1-2), 165-190.
50		Moussawi-Haidar, L., Salameh, M. and Nasr, W. (2014). Effect of deterioration on the in-stantaneous replenishment model with imperfect quality items. Applied Mathematical Modelling, 38(24), 5956-5966.
51	Ouyang, L. Y. and Chang, C. T. (2013). Optimal production lot with imperfect production process under permissible delay in payments and complete backlogging. International Jour-nal of Production Economics, 144(2), 610-617. 
52		Ouyang, L. Y. and Chang, H. C. (2000). Quality improvement on lot size reorder point model with partial backorders based on limited information of demand. Journal of Statistics and Management Systems, 3, 75-89.
53		Ouyang, L. Y., Chen, L. Y. and Yang, C. T. (2013). Impacts of collaborative investment and inspection policies on the integrated inventory model with defective items. International Journal of Production Research, 51(19), 5789-5802.
54		Ouyang, L. Y., Chuang, C. J., Ho, C. H. and Wu, C. W. (2014). An integrated inventory model with quality improvement and two-part credit policy. Top, 22(3), 1042-1061.
55		Ouyang, L. Y., Ho, C. H., Su, C. H. and Yang, C. T. (2015). An integrated inventory model with capacity constraint and order-size dependent trade credit. Computers & Industrial Engineering, 84, 133-143.
56		Ouyang, L. Y., Teng, J. T., Goyal, S. K. and Yang, C. T. (2009). An economic order quantity model for deteriorating items with partially permissible delay in payments linked to order quantity. European Journal of Operational Research, 194 (2), 418-431. 
57		Ouyang, L. Y., Wu, K. S. and Yang, C. T. (2006). A study on an inventory model for non-instantaneous deteriorating items with permissible delay in payments. Computers & In-dustrial Engineering, 51 (4), 637-651. 
58		Ouyang, L. Y., Wu, K. S. and Ho, C. H. (2007). An integrated vendor–buyer inventory model with quality improvement and lead time reduction. International Journal of Production Economics, 108(1-2), 349-358.
59		Pal, B., Sana, S. S. and Chaudhuri, K. (2016). Two-echelon competitive integrated supply chain model with price and credit period dependent demand. International Journal of Systems Science, 47(5), 995-1007.
60	Pal, S., Mahapatra, G. S. and Samanta, G. P. (2014). An inventory model of price and stock dependent demand rate with deterioration under inflation and delay in payment. International Journal of System Assurance Engineering and Management, 5(4), 591-601.
61		Papachristos, S. and Skouri, K. (2000). An optimal replenishment policy for deteriorating items with time-varying demand and partial-exponential type–backlogging. Operations Re-search Letters, 27, 175-184.
62		Papachristos, S. and Konstantaras, I. (2006). Economic ordering quantity models for items with imperfect quality. International Journal of Production Economics, 100(1), 148-154.
63		Porteus, E. L. (1986). Optimal lot sizing, process quality improvement and setup cost reduc-tion. Operations Research, 34(1), 137-144. 
64		Philip, G. C. (1974). A generalized EOQ model for items with Weibull distribution deterioration. American Institute of Industrial Engineers Transactions, 6(2), 159-162,
65	Ray, J. (2014). A nonlinear EOQ model with the effect of trade credit. International Journal of Nonlinear Science, 17(2), 135-144. 
66		Rosenblatt, M. J. and Lee, H. L. (1986). Economic production cycles with imperfect produc-tion processes. IIE Transactions, 18(1), 48-55.
67		Salameh, M. K. and Jaber, M. Y. (2000). Economic production quantity model for items with imperfect quality. International Journal of Production Economics, 64(1-3), 59-64. 
68	Sana, S. S. (2011). A production-inventory model of imperfect quality products in a three-layer supply chain. Decision Support Systems, 50(2), 539-547.
69		Sana, S. S. (2016). Optimal production lot size and reorder point of a two-stage supply chain while random demand is sensitive with sales teams' initiatives. International Journal of Systems Science, 47(2), 450-465.
70		Sarkar, B. (2012a). An EOQ model with delay in payments and time varying deterioration rate. Mathematical and Computer Modelling, 55(3-4), 367-377. 
71		Sarkar, B. (2012b). An inventory model with reliability in an imperfect production process. Applied Mathematics and Computation, 218(9), 4881-4891.
72	Sarkar, B. (2012c). An EOQ model with delay in payments and stock dependent demand in the presence of imperfect production. Applied Mathematics and Computation, 218(17), 8295-8308.
73		Sarkar, B. (2016). Supply chain coordination with variable backorder, inspections, and dis-count policy for fixed lifetime products. Mathematical Problems in Engineering, 2016, 14 pages. 
74		Sarkar, B., Cárdenas-Barrón, L. E., Sarkar, M. and Singgih, M. L. (2014a). An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. Journal of Manufacturing Systems, 33(3), 423-435.
75		Sarkar, B., Gupta, H., Chaudhuri, K. and Goyal, S. K. (2014b). An integrated inventory mod-el with variable lead time, defective units and delay in payments. Applied Mathematics and Computation, 237, 650-658. 
76		Sarkar, B. and Moon, I. (2014). Improved quality, setup cost reduction, and variable backorder costs in an imperfect production process. International Journal of Production Economics, 155, 204-213.
77		Sarkar, B., Saren, S. and Cárdenas-Barrón, L. E. (2015). An inventory model with trade-credit policy and variable deterioration for fixed lifetime products. Annals of Operations Research, 229(1), 677-702.
78		Sarker, B. R., Jamal, A. M. M. and Mondal, S. (2008). Optimal batch sizing in a multi-stage production system with rework consideration. European Journal of Operational Research, 184(3), 915-929. 
79		Sarker, B. R., Mukherjee, S. and Balan, C. V. (1997). An order-level lot size inventory model with inventory-level dependent demand and deterioration. International Journal of Produc-tion Economics, 48, 227-236.
80		Shaikh, A. A. (2017). An inventory model for deteriorating item with frequency of advertisement and selling price dependent demand under mixed type trade credit policy. International Journal of Logistics Systems and Management, 28(3), 375-395.
81		Shaikh, A. A., Panda, G. C., Sahu, S. and Das, A. K. (2019). Economic order quantity model for deteriorating item with preservation technology in time dependent demand with partial backlogging and trade credit. International Journal of Logistics Systems and Manage-ment, 32(1), 1-24.
82		Su, C. H. (2012). Optimal replenishment policy for an integrated inventory system with de-fective items and allowable shortage under trade credit. International Journal of Production Economics, 139(1), 247-256.
83	Taleizadeh , A. A. (2014). An EOQ model with partial backordering and advance payments for an evaporating item. International Journal of Production Economics, 155, 185-193.
84	Tayal, S., Singh, S. R., Sharma, R. and Singh, A. P. (2015). An EPQ model for non-instantaneous deteriorating item with time dependent holding cost and exponential de-mand rate. International Journal of Operational Research, 23(2), 145-162.
85		Teng, J. T. (2002). On the economic order quantity under conditions of permissible delay in payments. Journal of the Operational Research Society, 53, 915-918.
86		Teng, J. T. (2009). Optimal ordering policies for a retailer who offers distinct trade credits to its good and bad credit customers. International Journal of Production Economics, 119 (2), 415-423. 
87	Teng, J. T. and Chang, C. T. (2005). Economic production quantity models for deteriorating items with price-and stock-dependent demand. Computers & Operations Research, 32(2), 297–308.
88		Treviño-Garza, G., Castillo-Villar, K. K. and Cárdenas-Barrón, L. E. (2015). Joint determination of the lot size and number of shipments for a family of integrated vendor–buyer systems considering defective products. International Journal of Systems Science, 46(9), 1705-1716.
89		Tsao, Y. C., Chen, T. H. and Huang, S. M. (2011). A production policy considering reworking of imperfect items and trade credit. Flexible Services and Manufacturing Journal, 23(1), 48-63.
90		Wang, S. P. (2002). An inventory replenishment policy for deteriorating items with shortages and partial backlogging. Computers & Operations Research, 29(14), 2043-2051.
91	Wang, X. and Li, D. (2012). A dynamic product quality evaluation based pricing model for perishable food supply chains. Omega, 40(6), 906-917.
92	Wang, W. C., Teng J. T. and Lou, K. R. (2014). Seller’s optimal credit period and cycle time in a supply chain for deteriorating items with maximum lifetime. European Journal of Operational Research, 232(2), 315-321.
93		Wu, J., Ouyang, L. Y., Cárdenas-Barrón, L. E. and Goyal, S. K. (2014). Optimal credit period and lot size for deteriorating items with expiration dates under two-level trade credit financ-ing, European Journal of Operational Research, 237(3), 898-908.
94		Wu, J., Teng, J. T. and Chan, Y. L. (2018). Inventory policies for perishable products with expiration dates and advance-cash-credit payment schemes. International Journal of Systems Science: Operations & Logistics, 5(4), 310-326.
95		Yang, C. T., Pan, Q., Ouyang, L. Y. and Teng, J. T. (2011). Retailer’s optimal order and credit policies when a supplier offers either a cash discount or a delay payment linked to order quantity. European Journal of Industrial Engineering, 7(3), 370-392. 
96	Yang, J. S. and Pan, J. C. (2004). Just-in-time purchasing: an integrated inventory model in-volving deterministic variable lead time and quality improvement investment. International Journal of Production Research, 42(5), 853-863.
97		Yassine, A., Maddah, B. and Salameh, M. (2012). Disaggregation and consolidation of im-perfect quality shipments in an extended EPQ model. International Journal of Production Economics, 135, 345-352.
98		Yoo, S. H., Kim, D. S. and Park, M. S. (2009), Economic production quantity model with imperfect-quality items, two-way imperfect inspection and sales return. International Journal of Production Economics, 121(1), 255-265.
99		Yu, H. F. and Lin, S. Y. (2013). An EOQ model for items with acceptable defective part and shortages. Journal of Industrial and Production Engineering, 30(7), 443-451.
100		Zhang, X. and Gerchak, Y. (1990). Joint lot sizing and inspection policy in an EOQ model with random yield. IIE Transactions, 22(1), 41-47.
論文全文使用權限
校內
校內紙本論文立即公開
同意電子論文全文授權校園內公開
校內電子論文立即公開
校外
同意授權
校外電子論文立即公開

如有問題,歡迎洽詢!
圖書館數位資訊組 (02)2621-5656 轉 2487 或 來信