Volume 33, Issue 2 (IJIEPR 2022)                   IJIEPR 2022, 33(2): 1-16 | Back to browse issues page

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abutalebi E, rabbani M. Fuzzy Vehicle Routing Problem with Split Delivery: Trade-off between Air Pollution and Customer Satisfaction. IJIEPR 2022; 33 (2) :1-16
URL: http://ijiepr.iust.ac.ir/article-1-1469-en.html
Fuzzy Vehicle Routing Problem with Split Delivery: Trade-off between Air Pollution and Customer Satisfaction
Elham Abutalebi1 , Masoud Rabbani 2
1- Industrial Engineering Department, College of Engineering, University of Tehran
2- 1. Industrial Engineering Department, College of Engineering, University of Tehran, Tehran, Iran , mrabani@ut.ac.ir
Abstract:   (2193 Views)
In large-scale emergency, the vehicle routing problem focuses on finding the best routes for vehicles. The equitable distribution has a vital role in this problem to decrease the number of death and save people's lives. In addition to this, air pollution is a threat to people’s life and it can be considered to omit other kinds of disasters happens because of it. So, a new MINLP model presented is going to face a real situation by considering real world assumptions such as fuzzy demands and travel time, multi depots and items, vehicle capacity and split delivery. The first objective function is to minimize the sum of unsatisfied demand which follows a piecewise function and the second one is to minimize the cost which depends on the fuel consumption. In order to solve the multi-objective problem with fuzzy parameters, nonlinear function has been linearized by convex combination and a new crisp model is presented by defusing fuzzy parameters. Finally, NSGA-П algorithm is applied to solve this problem and the numerical results gained by this procedure demonstrate its convergence and its efficiency in this problem.
Keywords: Vehicle routing problem, Equity, Air pollution, Uncertainty, Split delivery, NSGA-П
Full-Text [PDF 972 kb]   (764 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2022/04/13 | Accepted: 2022/05/11 | Published: 2022/06/30
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