Evaluation method for backorder risk by considering risk propagation

被引：0

作者：

Yu, Chao ^{[1
]}

Liu, Yang ^{[1
]}

Fan, Zhiping ^{[1
]}

机构：

[1] School of Business Administration, Northeastern University, Shenyang

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2015年 / 21卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Backorder; Fault tree analysis; Risk evaluation; Risk propagation; Supply chains;

D O I：

10.13196/j.cims.2015.08.025

中图分类号：

学科分类号：

摘要：

Since the backorder risk might spread to the downstream enterprises along the supply chain, a risk evaluation method for backorder risk by considering the risk propagation was proposed. In this method, the manufacturer delayed in delivery was treated as the top event in fault tree according to FTA idea. The fault tree included middle events of multiple suppliers such as procurement, production and transportation and basic events of manufacturer backorder was constructed by considering the supply and demand between enterprises and the risk propagation. The probabilities of basic events in the fault tree were determined through the analysis of related historical events. The backorder probability of manufacturer was calculated according to FTA idea. On this basis, the backorder risk of manufacturer was evaluated by considering the loss caused by manufacturer backorder and the compensation of manufacturer obtained from the suppliers. A practical example was used to illustrate the feasibility and validity of the proposed method. ©, 2015, CIMS. All right reserved.

引用

页码：2191 / 2200

页数：9

共 21 条

[1]

Li L., The role of inventory in delivery-time competition, Management Science, 38, 2, pp. 182-197, (1992)

[2]

Lederer P.J., Li L., Pricing, production, scheduling, and delivery-time competition, Operations Research, 45, 3, pp. 407-420, (1997)

[3]

Shin K.S., Shin Y.W., Kwon J.H., Et al., Development of risk based dynamic backorder replenishment planning framework using Bayesian Belief Network, Computers & Industrial Engineering, 62, 3, pp. 716-725, (2012)

[4]

Yu H., Chen J., Yu G., Managing wholesale price contract in the supply chain under disruptions, Systems Engineering-Theory & Practice, 26, 8, pp. 33-41, (2006)

[5]

Galasso F., Merce C., Grabot B., Decision support for supply chain planning under uncertainty, International Journal of Systems Science, 39, 7, pp. 667-675, (2008)

[6]

Guillaume R., Grabot B., Thierry C., Management of the risk of backorders in a MTO-ATO/MTS context under imperfect requirements, Applied Mathematical Modelling, 37, 16-17, pp. 8060-8078, (2013)

[7]

Rodger J.A., Pankaj P., Gonzalez S.P., Decision making using a fuzzy induced linguistic ordered weighted averaging approach for evaluating risk in a supply chain, International Journal of Advanced Manufacturing Technology, 70, 1-4, pp. 711-723, (2014)

[8]

Watson H.A., Launch Control Safety Study, (1961)

[9]

Winkler R.L., Poses R.M., Evaluating and combining physicians' probabilities of survival in an intensive care unit, Management Science, 39, 12, pp. 1526-1543, (1993)

[10]

Gigerenzer G., Hoffrage U., How to improve Bayesian reasoning without instruction: frequency formats, Psychological Review, 102, 4, pp. 684-704, (1995)

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