Shipment Monitoring, Allocation, and the Impact on Food Waste

Often advocated for the potential to reduce waste in fresh produce supply chains, sensor technologies enable firms to monitor the condition of each product unit and allocate them to markets at different transportation distances, thereby matching units with shorter shelf lives with closer markets. In this paper, we consider a firm purchasing and transporting a fresh produce product for sale in two destination markets. Postharvest processes cause a proportion of the product to be in risky condition, potentially becoming unsalable (“spoiled”) due to shelf-life deterioration during transportation. With monitoring technology, the firm first determines a purchase quantity and then decides how to allocate each unit (in either good or risky condition) between markets. We characterize the optimal allocation policies, which can be used to efficiently determine the optimal purchase quantity. Our analysis shows that such technology may inadvertently increase total waste by inducing larger purchase quantities; this increase is often, but not always, accompanied by a lower waste rate and improved distribution efficiency. As firms increasingly adopt monitoring technology for shipment allocation, additional policy and managerial attention may be required. Improvements in postharvest processes can strengthen the waste-reduction benefits of monitoring technology. Firms seeking to maintain their sustainability goals can capture most of the profit gains from monitoring by carefully moderating increases in purchase quantities. This paper was accepted by Jeannette Song, operations management. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2024.07382 .

Authors

Institutions

Publication Details

Journal
Management Science
Published
2026-10-15
DOI
https://doi.org/10.1287/mnsc.2024.07382
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shipment Monitoring, Allocation, and the Impact on Food Waste

Tao Lu
Management Science
Supply Chain and Inventory Management
article

Shipment Monitoring, Allocation, and the Impact on Food Waste

Tao Lu
article en

Abstract

Often advocated for the potential to reduce waste in fresh produce supply chains, sensor technologies enable firms to monitor the condition of each product unit and allocate them to markets at different transportation distances, thereby matching units with shorter shelf lives with closer markets. In this paper, we consider a firm purchasing and transporting a fresh produce product for sale in two destination markets. Postharvest processes cause a proportion of the product to be in risky condition, potentially becoming unsalable (“spoiled”) due to shelf-life deterioration during transportation. With monitoring technology, the firm first determines a purchase quantity and then decides how to allocate each unit (in either good or risky condition) between markets. We characterize the optimal allocation policies, which can be used to efficiently determine the optimal purchase quantity. Our analysis shows that such technology may inadvertently increase total waste by inducing larger purchase quantities; this increase is often, but not always, accompanied by a lower waste rate and improved distribution efficiency. As firms increasingly adopt monitoring technology for shipment allocation, additional policy and managerial attention may be required. Improvements in postharvest processes can strengthen the waste-reduction benefits of monitoring technology. Firms seeking to maintain their sustainability goals can capture most of the profit gains from monitoring by carefully moderating increases in purchase quantities. This paper was accepted by Jeannette Song, operations management. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2024.07382 .

Management Science
University of Connecticut (US)
Responsible consumption and production, Zero hunger, Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Supply Chain and Inventory Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.