Title: A green economic production quantity model: a case study

Authors: Elnaz Ebrahimi; Babak Shirazi; Iraj Mahdavi; Alireza Arshadi Khamseh

Addresses: Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran ' Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran ' Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran ' Industrial Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran

Abstract: The government can affect supply chain decisions by regulating and controlling carbon trading prices. Direct accounting, carbon taxation, direct cap, carbon-and-offset, and cap-and-trade schemes are mechanisms implemented in numerous countries. The present paper analyses a green economic production quantity (G-EPQ) model under the different regulatory systems. The proposed solution method employs metaheuristics approaches, including genetic algorithm (GA), simulated annealing (SA), Keshtel algorithm (KA) and particle swarm optimisation (PSO). Regarding the computational time and solution quality, the algorithms are compared to prove the high performance of the proposed PSO for solving the G-EPQ model.

Keywords: green EPQ; carbon regulations; direct accounting; carbon tax; direct cap; carbon cap and offset; cap and trade; optimisation model; keshtel algorithm; particle swarm optimisation; PSO.

DOI: 10.1504/IJGW.2022.126673

International Journal of Global Warming, 2022 Vol.28 No.3, pp.275 - 296

Received: 10 Mar 2022
Received in revised form: 07 May 2022
Accepted: 08 May 2022
Published online: 01 Nov 2022 *

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