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Director of Studies MSc TIL
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Title:Quality-aware predictive scheduling of raw perishable material transports
Authors:X. Lin, R.R. Negenborn, G. Lodewijks

Conference:5th International Conference on Dynamics in Logistics (LDIC 2016)
Address:Bremen, Germany
Date:February 2016

Abstract:This paper proposes a new mathematical model for predictive scheduling of perishable material transports with the aim of reducing losses of perishable goods. The model is particularly designed for allocation of potatoes from several farms to a nearby starch mill, which produces starch from limited amount of potatoes each day. It is known that the quality of potatoes decreases and as a result they produce less starch. A model predictive control approach is proposed to maximize the production of starch. Simulation experiments indicate that predictive scheduling can yield higher starch production compared to non-predictive optimization.

Reference:X. Lin, R.R. Negenborn, G. Lodewijks. Quality-aware predictive scheduling of raw perishable material transports. In Proceedings of the 5th International Conference on Dynamics in Logistics (LDIC 2016), Bremen, Germany, pp. 61-70, February 2016. Winner "Best paper" award.
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