Quality-Aware Predictive Scheduling of Raw Perishable Material Transports

  • Xiao LinEmail author
  • Rudy R. Negenborn
  • Gabriël Lodewijks
Conference paper
Part of the Lecture Notes in Logistics book series (LNLO)


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 a limited amount of potatoes each day. Scheduling should determine how much amount of potatoes be sent from which farm to the mill on each day. It is known that the quality of potatoes decreases over time and as a result less starch is produced. 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 approaches.


Transport scheduling Predictive control Perishable products Kinetics modeling 



The authors thank Dr. Jaap Ottjes for his valuable comments and discussions. By the China Scholarship Council under grant 201406950004 this research is supported.


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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Xiao Lin
    • 1
    Email author
  • Rudy R. Negenborn
    • 1
  • Gabriël Lodewijks
    • 1
  1. 1.Department of Maritime and Transport TechnologyDelft University of TechnologyDelftThe Netherlands

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