In-transit perishable product inspection

Chelsea C. White, Taesu Cheong

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

We determine the value of monitoring perishable freight in-transit for a single vehicle traveling from an origin to a destination. We develop a computationally practical approach for determining the optimal expected cost function and an optimal policy, based on an infinite horizon partially observed Markov decision process model. Structural properties of the optimal expected cost function and optimal policy are determined. These results can lend insight when deciding whether to acquire the capacity to monitor freight status in transit and what actions to take, based on the data from the in-transit monitoring, that optimally increase expected supply chain productivity.

Original languageEnglish
Pages (from-to)310-330
Number of pages21
JournalTransportation Research Part E: Logistics and Transportation Review
Volume48
Issue number1
DOIs
Publication statusPublished - 2012 Jan
Externally publishedYes

Keywords

  • Cold supply chain
  • Markov decision processes
  • Perishable freight transportation

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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