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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Detalles Bibliográficos
Autores: Imran, Arif, Utomo, Eko Wahyu, Ramadhan, Fadillah, Desrianty, Arie, Helianty, Yanti, Mustofa, Fifi Herni
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/381564
Acceso en línea:https://hdl.handle.net/2117/381564
https://dx.doi.org/10.3926/jiem.3813
Access Level:acceso abierto
Palabra clave:Stochastic analysis
Stochastic models
Combinatorial optimization
Business logistics
Stochastic
The capacitated p-median problem
Green logistic
VNS
Anàlisi estocàstica
Models estocàstics
Optimització combinatòria
Logística (Indústria)
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
Descripción
Sumario: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