A Multi-objective Particle Swarm Optimization Based on Pareto Archive for Integrated Production and Distribution Planning in A Green Supply Chain. Issue 2 (28th January 2021)

• Record Type: Journal Article
• Authors: Fatemi Ghomi, S.M.T.; Karimi, B.; Behnamian, J.; Firoozbakht, J.
• Is Part Of: Applied artificial intelligence. Volume 35:Issue 2(2021)
• Page Start: 133
• Page End: 153
• Publication Date: 2021-01-28
• Subjects: Artificial intelligence -- Periodicals; 006.3
• DOI: 10.1080/08839514.2020.1840197
• Languages: English
• ISSNs: 0883-9514

Abstract

ABSTRACT: 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.