A Multi-objective Sustainable Location-Inventory-Routing problem for Perishable Products Considering Multiple Vehicles

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Sheikhi Hafshejani, Mahsa | 2018

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 50976 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Akbari-Jokar, Mohammad Reza
Abstract:
This thesis proposes a new non-linear multi-objective Location-Inventory-Routing problem (LIRP( for perishable products considering multi trips for vehicles. Managing the expiration date of perishable products, speed of vehicles in the system, the frequency of using the vehicles and etc. bring complexity in LIRP in this problem.
First objective focuses on maximizing profits calculated by Incomes of selling goods with different worthwhile depend on their remained life time and costs of inventory and distribution as well as ordering. Minimizing CO_2 emmition as the environmental issue has been considered as the second objective. Third objective which is minimization of injury rate, concerns as social issues.
In order to solve the model for large-sized problems and reach compromise solution, two meta-heuristic algorithm based on NSGAII and MOPSO are proposed and compared
Keywords:
Location ; Inventories ; Perishable Products ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Multiobjective Partial Swarm Optimization (MOPSO) ; Sustainable Supply Chain ; Vehicle Routing Problem

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