A Cloud Computing Model for Optimization of Transport Logistics Process

Abstract

In any increasing competitive environment and even in companies; we must adopt a good logistic chain management policy which is the main objective to increase the overall gain by maximizing profits and minimizing costs, including manufacturing costs such as: transaction, transport, storage, etc. In this paper, we propose a cloud platform of this chain logistic for decision support; in fact, this decision must be made to adopt new strategy for cost optimization, besides, the decision-maker must have knowledge on the consequences of this new strategy. Our proposed cloud computing platform has a multilayer structure; this later is contained from a set of web services to provide a link between applications using different technologies; to enable sending; and receiving data through protocols, which should be understandable by everyone. The chain logistic is a process-oriented business; it’s used to evaluate logistics process costs, to propose optimal solutions and to evaluate these solutions before their application. As a scenario, we have formulated the problem for the delivery process, and we have proposed a modified Bin-packing algorithm to improve vehicles loading.

Cloud and Edge Computing for Developing Smart Factory Models using a iFogSim Wrapper: Transportation Management System (TMS) Case Study

“…TMS gives a detailed information regarding the transfer of goods from one place to another [9]. Data regarding source and destination, information of goods and their respective qualities and other necessary information can be retrieved using cloud.…”

Green optimisation for LRP problem using a genetic algorithm and a dynamic island model

“…In this phase, we have used the vehicle-loading algorithm proposed in Benotmane et al (2017) to select the vehicles that will complete the primary and secondary tour. At the end of this phase, primary vehicles will have a list of centres to visit from their respective deposits called T V P , while the secondary vehicles will have a list of customers to visit from their respective centres called T V S. Our proposed algorithm is a modified bin-packing algorithm, which allows to:…”

“…In our proposition, to optimise the assignment between provider centres and client centres, we chose to use a genetic algorithm (GA) with an improved crossbreeding method; for vehicle loading optimisation, we implemented the loading algorithm we proposed in Benotmane et al (2017), and finally, for the problem of vehicle tours, we used a dynamic island model to minimise environmental costs and CO2.…”

A Cost Measurement System of Logistics Process

“…In another work [14], we have proposed a modified bin-packing algorithm for the loading vehicles process to select the vehicles that will make the pickup or the delivery tour from of their respective warehouses. This operates as follow:…”