Morvarid Derakhshan Andisheh Journal of Quality Engineering and Management 3134-0849 10 3 2020 11 21 Supply Chain Quality Management in Transportation Routing Using Genetic Algorithm  Supply Chain Quality Management in Transportation Routing Using Genetic Algorithm  227 234 131077 10.48313/jqem.2020.131077 FA Mohammad Mehdi Movahedi Associate Professor, Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran.  0000-0001-5414-2109 Alireza Azizi PhD student, Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran.    Seyed Ahmad Shayannia Assistant Professor, Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran Journal Article 2020 12 18 <br /> The purpose of this article is to examine the quality of goods in the process of transfer between members of the supply chain. For this purpose, a suitable mathematical model has been designed to manage the supply channel route of the supply chain problem and the problem has been solved using a genetic algorithm. In the present study, real-world conditions such as vehicle traffic constraints as well as product quality are considered by considering returned items, and also the Markov chain is used to investigate the possibility of transfer between members of the supply chain. The innovation of this research is the introduction of the channel selection system for transportation planning in the supply chain. The results show that the method used in this study has a good performance and the optimal way of product flow in a distribution network using genetic algorithm is presented. <br /><br /> <br /> The purpose of this article is to examine the quality of goods in the process of transfer between members of the supply chain. For this purpose, a suitable mathematical model has been designed to manage the supply channel route of the supply chain problem and the problem has been solved using a genetic algorithm. In the present study, real-world conditions such as vehicle traffic constraints as well as product quality are considered by considering returned items, and also the Markov chain is used to investigate the possibility of transfer between members of the supply chain. The innovation of this research is the introduction of the channel selection system for transportation planning in the supply chain. The results show that the method used in this study has a good performance and the optimal way of product flow in a distribution network using genetic algorithm is presented. <br /><br /> https://www.pqprc.ir/article_131077_c55a1d58333a52b6c627a91623b6b333.pdf