Quality-Aware Modeling and Optimal Scheduling for Perishable Good Distribution Networks: The Case of Banana Logistics

  • X. LinEmail author
  • R. R. Negenborn
  • M. B. Duinkerken
  • G. Lodewijks
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10572)


Modern technologies have enabled approaches to estimate freshness of perishable products during production and distribution. Nevertheless, the loss of perishable goods is still high due to the deteriorating nature and inefficiencies in supply chains. This research focuses on improving the scheduling of banana logistics using real-time quality information. Bananas are typically shipped from tropical production sites to other places in the world. With temperature controlled reefer containers and sensor technologies, bananas can be monitored during transport and situations like early ripening can be predicted. In order to minimize spoilage, we propose a mathematical model for scheduling logistics activities with the consideration of both the biological process and the logistics procedure of bananas. Results of simulation experiments indicate that the method could reduce spoilage using real-time monitoring and scheduling.


Perishable goods logistics Banana supply chain Green-life Ripeness Quality-aware modeling 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • X. Lin
    • 1
    Email author
  • R. R. Negenborn
    • 1
  • M. B. Duinkerken
    • 1
  • G. Lodewijks
    • 2
  1. 1.Department of Maritime & Transport TechnologyDelft University of TechnologyDelftThe Netherlands
  2. 2.School of AviationUniversity of New South WalesSydneyAustralia

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