TY - JOUR
T1 - A perishable food supply chain problem considering demand uncertainty and time deadline constraints
T2 - Modeling and application to a high-speed railway catering service
AU - Wu, Xin
AU - Nie, Lei
AU - Xu, Meng
AU - Yan, Fei
PY - 2018/3/1
Y1 - 2018/3/1
N2 - This paper attempts to optimize the flow patterns in a perishable food supply chain network for a high-speed rail catering service. The proposed variational inequality models describe the uncertain demand on trains using the Newsvendor model and impose time deadline constraints on paths considering flow-dependent lead time. The constraints are then reformulated based on the Dirac delta function so that they can be directly dualized. An Euler algorithm with an Augmented Lagrangian Dual algorithm is developed to solve the model. A case study using 246 trains in the Beijing-Shanghai high-speed corridor is applied to demonstrate the applicability of the method.
AB - This paper attempts to optimize the flow patterns in a perishable food supply chain network for a high-speed rail catering service. The proposed variational inequality models describe the uncertain demand on trains using the Newsvendor model and impose time deadline constraints on paths considering flow-dependent lead time. The constraints are then reformulated based on the Dirac delta function so that they can be directly dualized. An Euler algorithm with an Augmented Lagrangian Dual algorithm is developed to solve the model. A case study using 246 trains in the Beijing-Shanghai high-speed corridor is applied to demonstrate the applicability of the method.
KW - Dirac delta function
KW - Euler algorithm
KW - Newsvendor model
KW - Rail catering
KW - Variational inequalities
UR - http://www.scopus.com/inward/record.url?scp=85044729589&partnerID=8YFLogxK
U2 - 10.1016/j.tre.2018.01.002
DO - 10.1016/j.tre.2018.01.002
M3 - Article
AN - SCOPUS:85044729589
SN - 1366-5545
VL - 111
SP - 186
EP - 209
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
ER -
