Intelligent Multimodal Logistics Control and Brokerage Centre

Lead Research Organisation: Coventry University
Department Name: Engineering and Computing

Abstract

The public/published information about logistics transport volumes and costs is very broad. The statistical information is split into very broad categories and difficult to use for any practical purpose. There is also considerable pressure for companies to transfer traffic away from road to more sustainable means, but the levels of rail penetration of the markets, especially internal UK logistics, are stubbornly low. The purpose of the project as a whole is to develop and test a system which it is believed will enable significant further modal transfer. The University part of the project will be to develop a monitoring mechanism which will both establish the levels of benefit actually achieved and identify potential for further actions to facilitate more transfer.The Coventry University contribution will be to work with partners, freight forwarders and transport providers to understand the costs and benefits for each of them from operating in different modal patterns. The University team will then build a financial and technical model which will enable the costs and benefits for each stakeholder to be computed from the actions they take during the trial stage. This information will be reported regularly, each stakeholder seeing their own data, but the open reports protecting individual confidentiality.

Publications

10 25 50
 
Description Test the theory that software can be used to allocate and "sell" empty capacity on container trains running from Felixstowe. The impact of this is to reduce carbon and road congestion caused by large goods vehicles travelling longer distances from ports. Instead they now travel less distance from inland rail freight terminals to customers
First Year Of Impact 2014
Sector Education,Environment,Transport
Impact Types Economic

 
Title Simulation Based Heuristic Model for Optimal Container Terminal Management 
Description Propose an innovative Simulation Optimisation Model that processes various dynamic variables and attributes in ability to deliver optimal/ near optimal resource scheduling plans for container terminal management. Moreover, this system strategically support container terminal operators and decision makers and provides a firm backing to operating frameworks and IT infrastructures. 
Type Of Material Computer model/algorithm 
Year Produced 2014 
Provided To Others? No