Abstract
Food supply chains are affected by losses of products which become poorly attractive for the consumers as they get close to their expiration date, therefore remaining unsold on the shelves. Such situation is ethically depreciable considering that many undernourished people rely on non-profit organizations for their survival. Despite of this situation, food recovery through the supply chain is still scarcely practiced, and the potential benefits achievable are frequently ignored. The paper presents a mathematical model for the coordination of the supply chain operating a food recovery policy. The model determines the optimal time for withdrawing the products from the shelves and the quantity to be donated or sent to the livestock market maximizing the profit of the coordinated system and showing that it outperforms the profit in absence of such a strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 215-239 |
| Number of pages | 25 |
| Journal | International Journal of Operations and Quantitative Management |
| Volume | 21 |
| Issue number | 3 |
| Publication status | Published - 2015 |
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Keywords
- Coordination system
- Food losses recovery
- Supply chain optimization
- Waste management
ASJC Scopus subject areas
- Business and International Management
- Management of Technology and Innovation
- Strategy and Management
- Information Systems and Management
- Management Science and Operations Research
Cite this
Alternatives to the traditional waste management : Food recovery for human non-profit organizations. / Aiello, Giuseppe; Enea, Mario; Muriana, Cinzia.
In: International Journal of Operations and Quantitative Management, Vol. 21, No. 3, 2015, p. 215-239.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Alternatives to the traditional waste management
T2 - Food recovery for human non-profit organizations
AU - Aiello, Giuseppe
AU - Enea, Mario
AU - Muriana, Cinzia
PY - 2015
Y1 - 2015
N2 - Food supply chains are affected by losses of products which become poorly attractive for the consumers as they get close to their expiration date, therefore remaining unsold on the shelves. Such situation is ethically depreciable considering that many undernourished people rely on non-profit organizations for their survival. Despite of this situation, food recovery through the supply chain is still scarcely practiced, and the potential benefits achievable are frequently ignored. The paper presents a mathematical model for the coordination of the supply chain operating a food recovery policy. The model determines the optimal time for withdrawing the products from the shelves and the quantity to be donated or sent to the livestock market maximizing the profit of the coordinated system and showing that it outperforms the profit in absence of such a strategy.
AB - Food supply chains are affected by losses of products which become poorly attractive for the consumers as they get close to their expiration date, therefore remaining unsold on the shelves. Such situation is ethically depreciable considering that many undernourished people rely on non-profit organizations for their survival. Despite of this situation, food recovery through the supply chain is still scarcely practiced, and the potential benefits achievable are frequently ignored. The paper presents a mathematical model for the coordination of the supply chain operating a food recovery policy. The model determines the optimal time for withdrawing the products from the shelves and the quantity to be donated or sent to the livestock market maximizing the profit of the coordinated system and showing that it outperforms the profit in absence of such a strategy.
KW - Coordination system
KW - Food losses recovery
KW - Supply chain optimization
KW - Waste management
UR - http://www.scopus.com/inward/record.url?scp=84962792135&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962792135&partnerID=8YFLogxK
M3 - Article
VL - 21
SP - 215
EP - 239
JO - International Journal of Operations and Quantitative Management
JF - International Journal of Operations and Quantitative Management
SN - 1082-1910
IS - 3
ER -