International Journal of Industrial Engineering & Production Research
Iran University of Science & Technology
Mon, Mar 25, 2019
[Archive]
1- Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
2- Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran , Ali.Divsalar@nit.ac.ir
2- Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran , Ali.Divsalar@nit.ac.ir
Abstract: (30 Views)
In this research, a new bi-objective routing problem is developed in which a conventional vehicle routing problem with time windows (VRPTW) is considered with environmental impacts and heterogeneous vehicles. In this problem, minimizing the fuel consumption (liter) as well as the length of the routes (meter) are the main objectives. Therefore, a mathematical bi-objective model is solved to create Pareto's solutions. The objectives of the proposed mathematical model are to minimize the sum of distance cost as well as fuel consumption and Co2 emission. Then, the proposed Mixed-Integer Linear Program (MILP) is solved using the ε-constraint approach Furthermore, numerical tests performed to quantify the benefits of using a comprehensive goal function with two different objectives. Managerial insights and sensitivity analysis are also performed to show how different parameters of the problem affect the computational speed and the solutions’ quality.
Keywords: Vehicle routing problem, Time windows, Fuel consumption, Co2 emission, ε-constraint, Environmental impacts.
Type of Study: Research |
Subject:
Logistic & Apply Chain
Received: 2019/01/16 | Accepted: 2019/03/10 | Published: 2019/03/10
Received: 2019/01/16 | Accepted: 2019/03/10 | Published: 2019/03/10
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