A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain

This paper presents a bi-objective model for integrated production and distribution planning in a multi-period multi-product green supply chain. This paper considers many near-real-world factors, such as: normal and overtime production shifts, limited storage capacity of the finished product and raw...

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Main Authors: S.M.T. Fatemi Ghomi, B. Karimi, J. Behnamian, J. Firoozbakht
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2020.1840197
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author S.M.T. Fatemi Ghomi
B. Karimi
J. Behnamian
J. Firoozbakht
author_facet S.M.T. Fatemi Ghomi
B. Karimi
J. Behnamian
J. Firoozbakht
author_sort S.M.T. Fatemi Ghomi
collection DOAJ
description This paper presents a bi-objective model for integrated production and distribution planning in a multi-period multi-product green supply chain. This paper considers many near-real-world factors, such as: normal and overtime production shifts, limited storage capacity of the finished product and raw materials, different vehicle types, direct and indirect shipping along with considering different production methods that influence the production costs and sale prices, simultaneously. Mixed integer programming model is proposed in which the profit maximization and the CO2 emission minimization are formulated. A particle swarm optimization algorithm based on Pareto archive that utilizes the genetic algorithm operators is proposed to solve the model.
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spelling doaj.art-e16d326d5caf462bbfe87bc601158d772023-09-15T09:33:58ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452021-01-0135213315310.1080/08839514.2020.18401971840197A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply ChainS.M.T. Fatemi Ghomi0B. Karimi1J. Behnamian2J. Firoozbakht3Amirkabir University of TechnologyAmirkabir University of TechnologyBu-Ali Sina UniversityAmirkabir University of TechnologyThis paper presents a bi-objective model for integrated production and distribution planning in a multi-period multi-product green supply chain. This paper considers many near-real-world factors, such as: normal and overtime production shifts, limited storage capacity of the finished product and raw materials, different vehicle types, direct and indirect shipping along with considering different production methods that influence the production costs and sale prices, simultaneously. Mixed integer programming model is proposed in which the profit maximization and the CO2 emission minimization are formulated. A particle swarm optimization algorithm based on Pareto archive that utilizes the genetic algorithm operators is proposed to solve the model.http://dx.doi.org/10.1080/08839514.2020.1840197
spellingShingle S.M.T. Fatemi Ghomi
B. Karimi
J. Behnamian
J. Firoozbakht
A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain
Applied Artificial Intelligence
title A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain
title_full A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain
title_fullStr A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain
title_full_unstemmed A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain
title_short A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain
title_sort multi objective particle swarm optimization based on pareto archive for integrated production and distribution planning in a green supply chain
url http://dx.doi.org/10.1080/08839514.2020.1840197
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