Open Door Logistics specialises in the application of artificial intelligence and computational intelligence techniques to problems in geographic and transport logistics. These techniques include data mining, forecasting, machine learning, planning, optimisation, scheduling and vehicle routing.
Open Door Logistics was founded in 2014 by Dr Philip Welch. Although originally from a physics background, Phil has been working in software for logistics since 2005. During this time he has developed proprietary commercial solutions for a number of territory planning and vehicle routing problems, working closely with clients to capture their requirements and operational processes and translate these into solid working software.
Phil has worked both within the commercial and research sectors of transport logistics. As part of the EU ADVANCE research project he developed techniques to predict end-of-day freight demand in a large freight network. The model used big data techniques - data mining and machine learning - to analyse multiple diverse information sources and continually refine its prediction. An overview is available in these proceedings.
Phil specialises in the application of modern artificial intelligence techniques - particularly computational intelligence - to problems in transport logistics, with particular emphasis on:
He has presented at various conferences on these subjects: