Title of article :
A Stochastic Bi-Objective Mathematical Model for Optimizing a Production and Distribution System with Stochastic Demand and Stochastic Lead Time
Author/Authors :
khalifehzadeh, sasan Department of Industrial Engineering - Faculty of Engineering - Yazd University, Yazd, Iran , fakhrzad, mohammad bagher Department of Industrial Engineering - Faculty of Engineering - Yazd University, Yazd, Iran
Abstract :
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 multistage
PDN with multi suppliers, multi producers, multi entrepots,
multi retailers, and multi inland and outland customers with multitime
period horizon with allowable shortage. A mixed integerprogramming
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
Journal title :
Astroparticle Physics