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dr. R (Rene) Haijema

dr. R (Rene) Haijema

Associate professor

Biography

Biography

Rene Haijema is Associate Professor in Operations Research and Logistics at Wageningen University. His main research interest is reducing food loss and waste by modelling and optimizing decisions in food supply chain management. Therefore he applies optimization, simulation, and  machine learning techniques. In particular, he optimizes replensihment and markdown decisions. To achieve sciencific and practical impact, he collaborates in multi-disciplinary teams with scientists and industry in national and European projects. 

He graduated with distinction from University of Amsterdam. In 2008 he obtained a PhD degree from the University of Amsterdam. His PhD thesis shows fundamental research on applying Markov Decision Theory to amongst other production and inventory management of blood products. The software he has developed is upgraded for practical use by blood banks.This work has been awarded with national and international prices and nominations, e.g. ORTEC Excellence in Advanced Planning Award awarded by Dutch association of operations research (NGB) and ORTEC, INFORMS Best Poster Award, and finalist of the KNAW-Christiaan Huygens Science Award, and of the Euro Excellence in Practice Award.  He is member of the Executive Committee of the International Society of Inventory Research (ISIR).

Ancillary activities - dr. R (Rene) Haijema

Ancillary activities
  • LNMB (11-7-2017/31-12-2099)
    afgevaardigd lid van WU-ORL
  • ISIR (1-8-2018/31-12-2099)
About

Personal information

Address

Hollandseweg 1
6706KN WAGENINGEN

Postal address

Postbus/POBox 8130
6700EW WAGENINGEN

Building

Leeuwenborch Hoofdvleugel
201/6028

Telephone

+31317485976

Secretary

+31317481403

Expertise

Logistics, Mathematics, Statistics, Fish stocks, Food processing, Food storage, Decision models, Decision support systems, Dynamic modeling, Dynamic systems, Economic models, Agro distribution, Mathematical models, Numerical mathematics, Operations research, Optimization methods, Ornamental horticulture, Postharvest decay, Process optimization, Production planning, Production policy, Programming, Quantitative techniques, Simulation, Stochastic processes, Stocks, Storage, Supply chain management, Health care, Heuristics, Industrial wastes

Subdivision

Operations Research and Logistics