A simulation-based optimisation for the stochastic green capacitated p-median problem

Purpose: This paper aims to propose a new model called the stochastic green capacitated p-median problem with a simulation-based optimisation approach. An integer linear programming mathematical model is built considering the total emission produced by vehicles and the uncertain parameters including...

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Main Authors: Arif Imran, Eko Wahyu Utomo, Fadillah Ramadhan, Arie Desrianty, Yanti Helianty, Fifi Herni Mustofa
Format: Article
Language:English
Published: OmniaScience 2022-10-01
Series:Journal of Industrial Engineering and Management
Subjects:
Online Access:http://www.jiem.org/index.php/jiem/article/view/3813
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author Arif Imran
Eko Wahyu Utomo
Fadillah Ramadhan
Arie Desrianty
Yanti Helianty
Fifi Herni Mustofa
author_facet Arif Imran
Eko Wahyu Utomo
Fadillah Ramadhan
Arie Desrianty
Yanti Helianty
Fifi Herni Mustofa
author_sort Arif Imran
collection DOAJ
description Purpose: This paper aims to propose a new model called the stochastic green capacitated p-median problem with a simulation-based optimisation approach. An integer linear programming mathematical model is built considering the total emission produced by vehicles and the uncertain parameters including the travel cost for a vehicle to travel from a particular facility to a customer and the amount of CO2 emissions produced. We also develop a simulation-based optimisation algorithm for solving the problem. Design/methodology/approach: The authors proposed new algorithms to solve the problem. The proposed algorithm is a hybridisation of Monte Carlo simulation and a Variable Neighbourhood Search matheuristic. The proposed model and method are evaluated using instances that are available in the literature. Findings: Based on the results produced by the computational experiments, the developed approach can obtain interesting results. The obtained results display that the proposed method can solve the problems within a short computational time and the solutions produced have good quality (small deviations). Originality/value: To the best of our knowledge, there is no paper in the previous literature investigating the simulation-based optimisation for the stochastic green capacitated p-median problem. There are two main contributions in this paper. First, to build a new model for the capacitated p-median problem taking into account the environmental impact. Second, to design a simulation-based optimisation approach to solve the stochastic green capacitated p-median problem incorporating VNS-based matheuristic and Monte Carlo simulation.
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spelling doaj.art-9e03973dc9b14137a7dcda858ebb91462022-12-22T04:06:47ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532022-10-0115455256510.3926/jiem.3813694A simulation-based optimisation for the stochastic green capacitated p-median problemArif Imran0Eko Wahyu Utomo1Fadillah Ramadhan2Arie Desrianty3Yanti Helianty4Fifi Herni Mustofa5Department of Industrial Engineering, Institut Teknologi Nasional BandungDepartment of Civil Engineering, Universitas Langlangbuana PDTS, Universitas Sultan AgungDepartment of Industrial Engineering, Institut Teknologi Nasional BandungDepartment of Industrial Engineering, Institut Teknologi Nasional BandungDepartment of Industrial Engineering, Institut Teknologi Nasional BandungDepartment of Industrial Engineering, Institut Teknologi Nasional BandungPurpose: This paper aims to propose a new model called the stochastic green capacitated p-median problem with a simulation-based optimisation approach. An integer linear programming mathematical model is built considering the total emission produced by vehicles and the uncertain parameters including the travel cost for a vehicle to travel from a particular facility to a customer and the amount of CO2 emissions produced. We also develop a simulation-based optimisation algorithm for solving the problem. Design/methodology/approach: The authors proposed new algorithms to solve the problem. The proposed algorithm is a hybridisation of Monte Carlo simulation and a Variable Neighbourhood Search matheuristic. The proposed model and method are evaluated using instances that are available in the literature. Findings: Based on the results produced by the computational experiments, the developed approach can obtain interesting results. The obtained results display that the proposed method can solve the problems within a short computational time and the solutions produced have good quality (small deviations). Originality/value: To the best of our knowledge, there is no paper in the previous literature investigating the simulation-based optimisation for the stochastic green capacitated p-median problem. There are two main contributions in this paper. First, to build a new model for the capacitated p-median problem taking into account the environmental impact. Second, to design a simulation-based optimisation approach to solve the stochastic green capacitated p-median problem incorporating VNS-based matheuristic and Monte Carlo simulation.http://www.jiem.org/index.php/jiem/article/view/3813stochastic, the capacitated p-median problem, green logistic, vns
spellingShingle Arif Imran
Eko Wahyu Utomo
Fadillah Ramadhan
Arie Desrianty
Yanti Helianty
Fifi Herni Mustofa
A simulation-based optimisation for the stochastic green capacitated p-median problem
Journal of Industrial Engineering and Management
stochastic, the capacitated p-median problem, green logistic, vns
title A simulation-based optimisation for the stochastic green capacitated p-median problem
title_full A simulation-based optimisation for the stochastic green capacitated p-median problem
title_fullStr A simulation-based optimisation for the stochastic green capacitated p-median problem
title_full_unstemmed A simulation-based optimisation for the stochastic green capacitated p-median problem
title_short A simulation-based optimisation for the stochastic green capacitated p-median problem
title_sort simulation based optimisation for the stochastic green capacitated p median problem
topic stochastic, the capacitated p-median problem, green logistic, vns
url http://www.jiem.org/index.php/jiem/article/view/3813
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