A three-echelon supply chain with asymmetric information under uncertainty

This paper investigates a three-echelon supply chain problem in which multiple suppliers, a single manufacturer and a single retailer are participants. The manufacturer selects suppliers and estimates quantity of defective components purchased from the suppliers, but the quality information is unavailable for the manufacture due to asymmetric information. In addition, customers’ demands could not be predicated accurately either. Under this circumstance, quantity of defective components and demands of customers are all characterized as uncertain variables according to real trade. Based on uncertainty theory, three models under different criteria such as expected value criterion, chance-constrained one and measure-chance one are constructed for the problem and corresponding solution approach is proposed as well under uncertain environment. Finally, some numerical examples are given to show the applications of the problem.

[1]  Baoding Liu,et al.  Uncertainty Theory - A Branch of Mathematics for Modeling Human Uncertainty , 2011, Studies in Computational Intelligence.

[2]  Baoding Liu,et al.  Uncertainty Theory - A Branch of Mathematics for Modeling Human Uncertainty , 2011, Studies in Computational Intelligence.

[3]  Yuanguo Zhu.  Functions of Uncertain Variables and Uncertain Programming , 2012 .

[4]  Kunhiraman Nair,et al.  Fuzzy models for single-period inventory problem , 2002, Fuzzy Sets Syst..

[5]  P. Zeephongsekul,et al.  Seller-buyer models of supply chain management with an asymmetric information structure , 2010 .

[6]  Hon-Shiang Lau,et al.  A stochastic and asymmetric-information framework for a dominant-manufacturer supply chain , 2007, Eur. J. Oper. Res..

[7]  Yuanguo Zhu,et al.  Bang–bang property for an uncertain saddle point problem , 2017, J. Intell. Manuf..

[8]  Kai Yao.  Multi-Dimensional Uncertain Calculus with Liu Process , 2014 .

[9]  Rong Gao,et al.  Milne method for solving uncertain differential equations , 2016, Appl. Math. Comput..

[10]  Amy Z. Zeng,et al.  Coordination with a Backup Supplier Through Buy-Back Contract Under Supply Disruption , 2010 .

[11]  Yong-Wu Zhou,et al.  A comparison of different quantity discount pricing policies in a two-echelon channel with stochastic and asymmetric demand information , 2007, Eur. J. Oper. Res..

[12]  Wansheng Tang,et al.  Two-echelon supply chain games in a fuzzy environment , 2008, Comput. Ind. Eng..

[13]  Yuanguo Zhu,et al.  Scheduling in a two-stage supply chain with uncertain parameters , 2016, J. Intell. Fuzzy Syst..

[14]  Kai Yang,et al.  Monitoring mechanisms in new product development with risk-averse project manager , 2017, J. Intell. Manuf..

[15]  Wansheng Tang,et al.  An uncertain wage contract model for risk-averse worker under bilateral moral hazard , 2016 .

[16]  Panlop Zeephongsekul,et al.  Asymmetric Information Supply Chain Models with Credit Option , 2013 .

[17]  Dong-Xia Lei,et al.  Supply chain contracts under demand and cost disruptions with asymmetric information , 2012 .

[18]  Tatsushi Nishi,et al.  A Game Theoretic Model to Manufacturing Planning with Single Manufacturer and Multiple Suppliers with Asymmetric Quality Information , 2013 .

[19]  C. Kao,et al.  A single-period inventory model with fuzzy demand , 2002 .

[20]  Kim Hua Tan,et al.  Managing product quality risk and visibility in multi-layer supply chain , 2012 .

[21]  Kripa Shanker,et al.  Individually rational buyback contracts with inventory level dependent demand , 2013 .

[22]  Baozhuang Niu,et al.  Pricing and Design of After-Sales Service Contract: The Value of Mining Asymmetric Sales Cost Information , 2017, Asia Pac. J. Oper. Res..

[23]  Yuanguo Zhu,et al.  Bang-bang control model for uncertain switched systems , 2015 .

[24]  Jian Zhou,et al.  Uncertain risk aversion , 2017, J. Intell. Manuf..

[25]  Soumen Bag,et al.  A Fuzzy Supply Chain Model for Defective Items , 2013 .

[26]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[27]  Ruiqing Zhao,et al.  Impact of price cap regulation on supply chain contracting between two monopolists , 2016 .

[28]  Yuhan Liu,et al.  Value-at-risk in uncertain random risk analysis , 2017, Inf. Sci..

[29]  Zhihua Chen,et al.  Impacts of risk attitude and outside option on compensation contracts under different information structures , 2018, Fuzzy Optim. Decis. Mak..

[30]  Yuanguo Zhu,et al.  An uncertain optimal control model with Hurwicz criterion , 2013, Appl. Math. Comput..

[31]  Jinwu Gao,et al.  Exponential stability of uncertain differential equation , 2015, Soft Computing.

[32]  Hua Ke,et al.  Uncertain random multilevel programming with application to production control problem , 2015, Soft Comput..

[33]  Wansheng Tang,et al.  An inspection-based price rebate and effort contract model with incomplete information , 2015, Comput. Ind. Eng..

[34]  Cui hua Zhang,et al.  Quality control strategy in supply chain under asymmetric information , 2009 .

[35]  Baoding Liu.  Some Research Problems in Uncertainty Theory , 2009 .

[36]  Gang Liu,et al.  An uncertain goal programming model for machine scheduling problem , 2017, J. Intell. Manuf..

[37]  Jinwu Gao,et al.  Some Concepts and Theorems of Uncertain Random Process , 2015, Int. J. Intell. Syst..

[38]  Bo Zhang,et al.  Uncertain goal programming models for bicriteria solid transportation problem , 2017, Appl. Soft Comput..

[39]  Xiaowei Chen,et al.  Uncertain calculus with finite variation processes , 2015, Soft Comput..

[40]  Yuanguo Zhu,et al.  An uncertain optimal control model with n jumps and application , 2012, Comput. Sci. Inf. Syst..

[41]  Baoding Liu.  Uncertain Risk Analysis and Uncertain Reliability Analysis , 2010 .

[42]  Jinwu Gao,et al.  Uncertain Calculus With Yao Process , 2016, IEEE Transactions on Fuzzy Systems.