Search

Highlights • A dynamic equilibrium model is constructed for the closed-loop supply chain network. • The demands and returns are uncertain and time-dependent. • Dynamic equilibrium condition is constructed by evolutionary variational inequality. • The equilibrium decisions are strongly affected by the time-dependent demands. Abstract In this paper, we develop a dynamic equilibrium model of oligopolistic closed-loop supply chain network to account for the seasonality of demand. In this model, demands and returns are uncertain and time-dependent. The dynamic Cournot-Nash equilibrium of the oligopolistic network is constructed by evolutionary variational inequality and projected dynamical systems. The existence and monotonicity results are established and a computational method is developed for finding the dynamic Cournot-Nash equilibrium. Numerical examples are solved to illustrate the performance of our model. The results show that the firms' optimal production and transaction quantities are strongly affected by the time-dependent demands. [ABSTRACT FROM AUTHOR]

Highlights • This paper constructs an equilibrium model of a multi-period supply chain network. • This paper incorporates retailers' dynamic loss-averse behaviors into the model. • This paper studies the effect of dynamic loss-averse behaviors on the decisions. • The decisions include production quantities, transaction quantities, and prices. Abstract This study constructs an equilibrium model of a multi-period supply chain network with uncertain demand. In the multi-period equilibrium model, we consider not only retailers' static loss-averse behaviors, but also their dynamic loss-averse behaviors, in which retailers dynamically adjust their loss-averse parameters according to their gains or losses over the production periods. The equilibrium conditions of the various decision makers and the network are established by the finite-dimensional variational inequality. Finally, numerical examples are solved to show how retailers' loss-averse behaviors would affect decisions, profits of manufacturers and utilities of retailers at equilibrium when compared with their loss-neutral behaviors. [ABSTRACT FROM AUTHOR]

This paper develops an integrated single-vendor multi-buyer inventory-transportation synchronized supply chain model. In this paper, the decisions of truck assignment and routing are also considered and as a result, a series of vehicle routing problems (VRP) are required to be solved. Due to the highly complicated objective function and the NP -hard VRP problems, the problem cannot be solved analytically. Hence, meta-heuristics are proposed. By means of the numerical examples and a case study, the meta-heuristics developed are shown to be very effective in solving such comprehensive supply chain models, and the results so obtained are promising. [ABSTRACT FROM AUTHOR]