Quality-aware predictive scheduling of raw perishable material transports

Xiao Lin, Rudy Negenborn, Gabri Lodewijks

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


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.
Original languageEnglish
Title of host publicationDynamics in Logistics
Subtitle of host publicationProceedings of the 5th International Conference LDIC
EditorsMichael Freitag, Herbert Kotzab, Jürgen Pannek
Place of PublicationCham, Switzerland
ISBN (Electronic)978-3-319-45117-6
ISBN (Print)78-3-319-45116-9
Publication statusPublished - 2016
Event5th International Conference on Dynamics in Logistics - Bremen, Germany
Duration: 22 Feb 201625 Feb 2016

Publication series

NameLecture Notes in Logistics
ISSN (Print)2194-8917
ISSN (Electronic)2194-8925


Conference5th International Conference on Dynamics in Logistics
Abbreviated titleLDIC 2016


  • Transport scheduling
  • Predictive control
  • Perishable products
  • Kinetics modeling


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