A Stochastic Bi-Objective Mathematical Model for Optimizing a Production and Distribution System with Stochastic Demand and Stochastic Lead Time

In the current study, a production and distribution network (PDN) is formulated to deliver the products to both inland and outland customers in the least amount of time and optimize the total profit of the network, simultaneously. The proposed network is a multi-stage PDN with multi suppliers, multi producers, multi entrepots, multi retailers, and multi inland and outland customers with multi-time period horizon with allowable shortage. A mixed integer-programming model is designed to minimize total cost of the system and minimize total delivery lead time. We applied a novel heuristic method called selective firefly algorithm (SFA) in order to solve several sized, especially real-world, instances. Finally, the performance of the proposed algorithm is examined by solving several sized instances. The results indicated that the proposed algorithm is of higher performance.

Keywords:

Supply chain management , Bi Objective mathematical model , Selective Firefly algorithm (SFA) , Probabilistic demand , Probabilistic delivery lead time.