Applying a Modified Imperialist Competitive Algorithm to solve aGreen Vendor Managed Inventory Problem

Nowadays, some of recent metaheuristics and their modified versions show a great performance on the current and newengineering problems. This study proposes a new version of a recent and well-known metaheuristic to solve a green vendormanaged inventory model. According to the literature of vendor managed inventory problem, less attention to environmentalpollution or green emissions of supply chain systems has been considered. This study aims to probe the issue of green backordervendor managed inventory in a two-echelon supply chain system for the first time. In View of customer facing, staff shortages in thesupply chain, two-echelon warehouse and limits the number of orders are considered. The first objective is to maximize profit ofvendor, which includes sales minus production and distribution costs and facing to shortage cost. The second objective function isminimizing the amount of pollution caused by the movement of goods. According to the developed problem as a model of hi-objective, non-convex and non-linear, a modified Imperialist Competitive Algorithm (ICA) is used to solve the developed problem.Results are compared with the existing similar papers in this area. Finally, results confirms that allowed the shortage situation, thelack of cost reduction, the greater the amount of shipping and orders as well as the lack of a less optimal to reduce the cost ofinventory shortages.

Applying a Modified Imperialist Competitive Algorithm to solve aGreen Vendor Managed Inventory Problem Keywords:

Vendor Managed Inventory , Green emmission , Modified algorithm , Imperialist competitive algorithm