Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction
نویسندگان
چکیده
منابع مشابه
A mathematical model for vehicle routing and scheduling problem with cross-docking by considering risk
Today, many companies after achieving improvements in manufacturing operations are focused on the improvement of distribution systems and have long been a strong tendency to optimize the distribution network in order to reduce logistics costs that the debate has become challenging. Improve the flow of materials, an activity considered essential to increase customer satisfaction. In this study, ...
متن کاملModeling the Time Windows Vehicle Routing Problem in Cross-Docking Strategy Using Two Meta-Heuristic Algorithms
In cross docking strategy, arrived products are immediately classified, sorted and organized with respect to their destination. Among all the problems related to this strategy, the vehicle routing problem (VRP) is very important and of special attention in modern technology. This paper addresses the particular type of VRP, called VRPCDTW, considering a time limitation for each customer/retai...
متن کاملA Multi-Objective Imperialist Competitive Algorithm for Vehicle Routing Problem in Cross-docking Networks with Time Windows
This study addresses the pickup and delivery problem for cross-docking strategy, in which shipments are allowed to be transferred from suppliers to retailers directly as well as through cross-docks. Usual models that investigate vehicle routing in cross-docking networks force all vehicles to stop at the cross-dock even if a shipment is about to a full truckload or the vehicle collects and deliv...
متن کاملCustomer satisfaction in dynamic vehicle routing problem with time windows
The dynamic vehicle routing and scheduling problem is a well-known complex combinatorial optimization problem that drew significant attention over the past few years. This paper presents a novel algorithm introducing a new strategy to integrate anticipated future visit requests during plan generation, aimed vailable online xxx eywords: enetic algorithms ustomer satisfaction at explicitly improv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Industrial Engineering International
سال: 2017
ISSN: 1735-5702,2251-712X
DOI: 10.1007/s40092-017-0203-0