TY - JOUR ID - 149806 TI - A multi-objective and multi-level model for location-routing problem in the supply chain based on the customer’s time window JO - Journal of Applied Research on Industrial Engineering JA - JARIE LA - en SN - 2538-5100 AU - Ghasemi, Peiman AU - Hemmaty, Hossein AU - Pourghader Chobar, Adel AU - Heidari, Mohamad Reza AU - Keramati, Mahdi AD - Department of Logistics, Tourism and Service Management, German University of Technology in Oman (GUtech), Muscat, Oman. AD - Department of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran. AD - Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran. AD - Department of Management, Khorasgan Branch, Islamic Azad University, Isfahan, Iran AD - Department of Industrial Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran. Y1 - 2023 PY - 2023 VL - 10 IS - 3 SP - 412 EP - 426 KW - Location-routing problem KW - Reliability KW - Time window KW - meta-heuristic algorithm DO - 10.22105/jarie.2022.321454.1414 N2 - Today, logistics costs often make up a major part of large organizations’ expenses. These costs can be reduced with optimal design and its implementation in the supply chain. As a result, in present study, a two-objective mathematical location-routing model is presented, where an objective is to minimize the costs and the next is to maximize the reliability in order to deliver the goods timely to customer according to the probable time and time window. The proposed problem has two levels of distribution. The first level, which is called transportation level, points to the distribution of products from a factory to an open distribution center, and the latter is known as routing level, which is related to a part of the problem in which we deliver products from the warehouse to customers. The proposed mathematical model is solved by Epsilon-constraint and NSGA-II approaches in small and medium, and large scales problem, respectively. The present study has provided the following contributions: concurrent locating and routing in the supply chain in accordance with the customer’s time window, probable travel time in the supply chain and customer’s reliability in the supply chain. The assessment metric results indicate the proper performance of our proposed model. UR - https://www.journal-aprie.com/article_149806.html L1 - https://www.journal-aprie.com/article_149806_59adf8ffffa1b6c147a761e2270ce64d.pdf ER -