Volume 08,Issue 03

A Sustainable Transportation Location Inventory Routing Problem

Authors

Atefe Sedaghat, Masood Rabbani, Hamed Farrokhi-Asl

Abstract
A sustainable transportation location inventory routing problem (TLIRP) has been studied in this paper. The sustainable objective functions have been developed as three pillars of minimizing the distribution cost, minimizing the environmental effect of Co2 emission, fuel consumption, and minimizing the social effect of discrimination and priority on the customers. Mathematical model conducted with transportation consideration in the first phase. At first, the number of trucks to be shipped to the distribution centers (DCs) and the number of each type of goods are calculated. The location routing problem as the second phase, decides about optimal DCs to be open, and the sequence of assigning the customers to the routes to get service. For small size of the problem exact solution used but because of the NP-hard nature of the problem two meta-Heuristic algorithms such as Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) have been implemented to solve the problem and then the result has been compared in terms of their metrics.

Keyword: Sustainability, Transportation -locationinventory routing problem, Meta-Heuristic Algorithm

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