Logistic center cargo delivery routing problem eM-Plant simulation method

Abstract

The invention discloses a logistic center cargo delivery routing problem eM-Plant simulation method. The logistic center cargo delivery routing problem eM-Plant simulation method specifically comprises the steps of firstly certainly knowing a logistic center operation pattern, and specifically performing analysis by taking certain logistic enterprises as objects and taking cargos to be delivered within a range of 10 thousand square kilometers as research objects; defining and analyzing vehicle routing problems with time windows, and mainly making researches on a single distribution center, multiple clients, different demands, time and places, different cargo quantities and different vehicle models; modeling the vehicle routing problems with the time windows, and performing modeling and classification and analysis of constraint conditions by adopting operational research and the like; performing simulation modeling analysis oriented to specific objects and performing modeling analysis in considerations of various factors such as required cargo delivery places and time to the objects, traffic conditions and weather; modeling by using eM-Plant. The simulation model is divided into four parts, including a user interface, an information flow layer, a visualized logistic layer and a simulation data analysis layer.

Description

technical field [0001] The invention relates to the field of physical simulation, in particular to an eM-Plant simulation method for logistics center delivery route planning problem. Background technique [0002] The logistics center distribution system is a complex discrete event system, and the vehicle routing problem of the logistics distribution system is the key problem of logistics distribution (referred to as VRP). Due to the many problems and constraints involved in VRP, which are greatly affected by random factors such as vehicle routes and customers, it is difficult to obtain an accurate solution with analytical methods. In addition to considering cost factors, factors such as delivery time and environment must also be considered. The Vehicle Routing Problem with Time Window (VRPTW for short). In the actual distribution process, it is necessary to deliver goods on time according to the requirements of customers, improve customer satisfaction and reduce the deliver...

AI Technical Summary

Problems solved by technology

In the actual distribution process, it is necessary to deliver goods on time according to the requirements of customers, improve customer satisfaction and reduce the delivery cost of logistics companies. The existing methods for this kind of dynamic multi-objective programming problems cannot be effectively solved, so the heuristic algorithm becomes The most efficient xenogeneic route to study VRP

Images