Proceedings of the Genetic and Evolutionary Computation Conference Companion

Description

A two-phase genetic algorithm for incorporating environmental considerations with production, inventory and routing decisions in supply chain networks

In this paper, we study an integrated production-inventory-routing planning (PIRP) problem which addresses important decisions in the supply chains and it is classified as an NP-hard problem. Studies shows that companies solving their production, inventory and routing decisions simultaneously, can reduce their total costs significantly and respond to the customers' needs efficiently. Nowadays due to strict regulations, companies must take into account environmental considerations as well as cost minimization in their processes. Therefore, in this paper we develop a mixed-integer linear programming model to formulate the green PIRP (GPIRP) problem which optimizes the economic and social dimensions of the supply chains. Also, we propose a two-phase genetic algorithm (GA) in which the inventory and production decisions are solved in the first phase and the vehicle routing and transportation decisions are solved in the second phase. In the computational experiments we conduct sensitivity analysis to investigate the efficiency of our proposed solution algorithm for the large-sized instances.

Period	13 Jul 2019
Event type	Conference
Location	Toronto, CanadaShow on map
Degree of Recognition	International