In-Transit Perishable Product Inspection
The authors determine the value of monitoring perishable freight in-transit for a single vehicle traveling from an origin to a destination. They 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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier
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Authors:
- White III, Chelsea C
- Cheong, Taesu
- Publication Date: 2012-1
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 310-330
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 48
- Issue Number: 1
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Decision making; Markov processes; Numerical analysis; Origin and destination; Perishables
- Uncontrolled Terms: Cargo inspection; In-transit visibility
- Subject Areas: Freight Transportation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01359113
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 16 2011 2:48PM