TY - JOUR ID - 155446 TI - A two-stage uncertain model to arrange and locate vehicle routing with simultaneous pickup and delivery JO - International Journal of Research in Industrial Engineering JA - RIEJ LA - en SN - 2783-1337 AU - Khodashenas, Mohammad AU - Kazemipoor, Hamed AU - Najafi, Seyed Esmaeel AU - Movahedi Sobhani, Farzad AD - Science and Research Branch, Islamic Azad University, Tehran, Iran. AD - Faculty of Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran. Y1 - 2022 PY - 2022 VL - 11 IS - 3 SP - 273 EP - 305 KW - Vehicle Routing Location KW - Pickup and Delivery KW - Product Arrangement KW - Meta-heuristics algorithm KW - Fuzzy uncertainty DO - 10.22105/riej.2022.344405.1316 N2 - In this paper, a two-stage model is designed for arranging and locating vehicle routes with simultaneous pickup and delivery. The model developed in the first stage optimizes the arrangement of products in packages and thus optimizes packages' length, width, and height for delivery to customers. In the second stage, the goal is to provide customers with vehicle in simultaneous pickup and delivery. In this part of the model, the location of distribution centers is potentially considered, and the demand and cost parameters are considered uncertain. To solve the problem, precise methods and meta-heuristic algorithms of PSO for the first stage and multi-objective meta-heuristic algorithms NSGA II and MOALO for the set have been used. The results of examining the efficiency of the algorithms in the second stage show the high efficiency of the MOALO algorithm with a valuable weight of 0.8388. Therefore, to implement the model in the real problem (Golrang Broadcasting Company), the MOLAO algorithm has been used, the management results include obtaining 15 efficient answers. UR - https://www.riejournal.com/article_155446.html L1 - https://www.riejournal.com/article_155446_c46c379d9030cbb66cecd48f9fe34391.pdf ER -