Entec contributed significantly at the recent OR58: The Operational Research Society Annual Conference, held at The University of Portsmouth.
The prestigious conference had 32 Work-streams featuring some 300 presentations of interest to academics and practitioners alike, including; case studies and presentations in methodological areas of OR such as simulation, analytics, forecasting, problem-structuring; and application areas such as health, public policy, third sector, and corporate supply chain.
Goutham Veerakumar (Supply Chain Analyst) and Mike Robinson (CEO) contributed in stream management and informed discussion on the subjects of ‘Optimisation of MRO Spare Parts Forecasting Models’ and ‘Spare Parts Inventory Pooling/Sharing Model for FMCG Companies’. Their workstreams included other influential speakers from the world of Inventory Management. The talks hosted by Ali Hamdan & Stella Lazoura (Master’s students who have been working with Entec) were well received and created potential for future collaboration with other presenters.
As well as the talks, Entec also contributed by poster and question/answer sessions. Goutham hosted a stand on ‘MRO Supply Chain Optimisation – Big Data Analysis’, being a summary of the Knowledge Transfer Partnership (KTP) Project between Entec and The University of Portsmouth. The KTP, conducted over a two year project, saw Entec and the University of Portsmouth (backed by Innovate UK) develop an innovative 3 tiered stocking model for MRO management on behalf of global FMCG clients, whose data was analysed.
Goutham said “The impact day of the conference was particularly useful, with the display generating much discussion amongst the people who use OR to solve their daily business problems”.
The conference’s growth was a testament to its ongoing success, and Entec’s participation enables us to collaborate and develop theories that will keep us at the forefront of the research, and application of, new Supply Chain Models.
Click here to see Goutham’s infographic on MRO Supply Chain Optimisation – Big Data Analysis.
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