The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Supply Chain Strategies for Perishable Products: The Case of Fresh Produce
Abstract
This paper examines supply chain design strategies for a specific type of perishable product—fresh produce—using melons and sweet corn as examples. Melons and other types of produce reach their peak value at the time of harvest; product value deteriorates exponentially post‐harvest until the product is cooled to dampen the deterioration. Using the product's marginal value of time (MVT), the rate at which the product loses value over time in the supply chain, we show that the appropriate model to minimize lost value in the supply chain is a hybrid of a responsive model from post‐harvest to cooling, followed by an efficient model in the remainder of the chain. We also show that these two segments of the supply chain are only loosely linked, implying that little coordination is required across the chain to achieve value maximization. The models we develop also provide insights into the use of a product's MVT to develop supply chain strategies for other perishable products.
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Cites
What is the Right Supply Chain for Your Product
Fisher, M. L. (1997) · Harvard business review · Cited by 3,069
The commercial storage of fruits, vegetables, and florist and nursery stocks
Hardenburg, R. E., Watada, A. E., & Wang, C. Y. (1986) · Biodiversity Heritage Library (Smithsonian Institution) · Cited by 1,325
Perishable Inventory Theory: A Review
Nahmias, S. (1982) · Operations Research · doi:10.1287/opre.30.4.680 · Cited by 1,183
Aligning Supply Chain Strategies with Product Uncertainties
Lee, H. L. (2002) · California Management Review · doi:10.2307/41166135 · Cited by 1,020
Aligning supply chain strategies with product uncertainties
Lee, H. L. (2003) · IEEE Engineering Management Review · doi:10.1109/emr.2003.1207060 · Cited by 922
An EOQ Model for Items with Weibull Distribution Deterioration
Covert, R. P., & Philip, G. C. (1973) · A I I E Transactions · doi:10.1080/05695557308974918 · Cited by 803
A model for an exponentially decaying inventory
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Reverse Supply Chains for Commercial Returns
Blackburn, J. D., Guide, V. D. R., Souza, G. C., et al. (2004) · California Management Review · doi:10.2307/41166207 · Cited by 583
Self-citationA Generalized EOQ Model for Items with Weibull Distribution Deterioration
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Review of inventory systems with deterioration since 2001
Bakker, M., Riezebos, J., & Teunter, R. H. (2012) · European Journal of Operational Research · doi:10.1016/j.ejor.2012.03.004 · Cited by 637
The role of smart packaging system in food supply chain
Chen, S., Brahma, S., Mackay, J., Cao, C., & Aliakbarian, B. (2020) · Journal of Food Science · doi:10.1111/1750-3841.15046 · Cited by 348
A dynamic product quality evaluation based pricing model for perishable food supply chains
Wang, X., & Li, D. (2012) · Omega · doi:10.1016/j.omega.2012.02.001 · Cited by 329
Bortolini, M., Galizia, F. G., Mora, C., Botti, L., & Rosano, M. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.02.231 · Cited by 141
State-of-the-art literature review on inventory models for perishable products
Chaudhary, V., Kulshrestha, R., & Routroy, S. (2018) · Journal of Advances in Management Research · doi:10.1108/jamr-09-2017-0091 · Cited by 107
Metadata
- Authors
- Blackburn, J., & Scudder, G.
- Venue
- Production and Operations Management
- Publisher
- SAGE Publications
- Published
- 2009-03
- Volume
- 18
- Issue
- 2
- Pages
- 129-137
- ISSN
- 1059-1478 (ISSN-L)
- 1937-5956
- OpenAlex
- W2010629189
- Cited by
- 441
- References
- 19
- FWCI
- 21.33
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
