A Conceptual Framework for Crop-Based Agri-food Supply Chain Characterization Under Uncertainty

Alemany, M. M. E.; Esteso, Ana; Ortíz, Ángel; Hernández, Jorge E.; Fernández, Alejandro; Garrido, Alejandra; Martín, Juan Pablo; Liu, S.; Zhao, Guoqing; Guyon, Cécile; Iannacone, Rina

doi:10.1007/978-3-030-51047-3_2

Cited by 2 publications

(2 citation statements)

References 29 publications

(48 reference statements)

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“…The supply chain under study is responsible for the production and distribution of multiple perishable vegetables with limited shelf-life. The shelf life of this vegetables is predetermined and once it has elapsed, the vegetable becomes worthless (Alemany, Esteso, Ortiz, Hernández, Fernández, Garrido et al, 2021). The considered supply chain is composed by farmers, cooperatives, retailers, and markets, who represent the demand of end consumers (Figure 1).…”

Section: Problem Descriptionmentioning

confidence: 99%

Increasing the sustainability of a fresh vegetables supply chain through the optimization of funding programs: A multi-objective mathematical programming approach

Esteso

Alemany

Ortíz

et al. 2022

JIEM

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Purpose: This research develops a model to improve the quality and freshness of sold vegetables through a funding program between farmers and retailers. Through this program, retailers who are interested in the distribution of first quality vegetables provide funds to farmers to increase their production this type of vegetables through the acquisition of new machinery, technology, or training.Design/methodology/approach: The problem is solved through a multi-objective mathematical programming model that simultaneously optimizes the supply chain profits, the waste of vegetables, the economic unfairness among farmers, the unfairness in the distribution of funds, and the freshness of sold vegetables. The ?-constraint method is used to obtain several non-dominated solutions to the problem after linearizing the non-lineal equations related to the unfairness objectives.Findings: Results show that it is possible to improve the indicators related to the vegetable waste, the economic unfairness, the unfairness in the distribution of funds and the freshness of vegetables while maintaining similar to optimal profits for the supply chain. Interesting trade-offs between the five objectives are identified, which can be used by supply chain members to select the most appropriate solution to be implemented in the real supply chain.Originality/value: This research models aspects relevant to the agri-food sector that have not been previously modelled for the problem under study. The main novelties of this paper are the consideration of the limited shelf life of the vegetables as well as the requirement of ensuring a minimum freshness at the moment of their sale, the price dependence on the quality and freshness of vegetables, the optimization of vegetable waste and the freshness of vegetables sold, as well as the joint optimization of the five previously defined objectives.

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Section: Problem Descriptionmentioning

confidence: 99%

Increasing the sustainability of a fresh vegetables supply chain through the optimization of funding programs: A multi-objective mathematical programming approach

Esteso

Alemany

Ortíz

et al. 2022

JIEM

Self Cite

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“…As complex systems, agrifood supply chains face multiple sources of uncertainty that can cause a significant imbalance between offer and demand in terms of varieties of products, amounts, qualities, client requirements, times and prices. All of these complicate their management (Alemany, et. al, 2021), which forces agricultural producers to confront various structural problems that cause increase in prices of agricultural and food products (Keskin, 2020).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of producer inflation, subsidies and profitability of vegetables and grains in Sinaloa, 2018-2019

Morales

Martínez-Téllez

Puente³

2021

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Objective: To evaluate producer inflation, equity in PROCAMPO subsidy distribution, as well as profitability of eight agricultural products in the state of Sinaloa, 2018-2019 cycle.Design/Methodology/Approach: First, inflation is estimated in the value of agricultural production, using the agricultural producer price index (INPP) base 2019. Second, the inequality in the allocation of PROCAMPO is calculated with Lorenz curves. Third, the internal rate of return (IRR) is estimated for the eight products and compared with the 28-day yield of the treasury certificates (CETES).Results: The current values generated show growth in cereals (corn, wheat), and vegetables (tomato, chili peppers), with downward inflationary gaps in the period 2000-2019. There is a concentration of the PROCAMPO allocation in producerswith high income deciles. The IRR is high in vegetables, and low in corn and beans.Study Limitations/Implications: This study does not specify the size of the productive unit and only the data is generalized. It does not address marketing channels and their destinations.Findings/Conclusions: The producer is assuming the inflationary increase. Income transfers via PROCAMPO areinequitable. The IRR in corn and beans is sometimes less profitable than CETES.

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A Conceptual Framework for Crop-Based Agri-food Supply Chain Characterization Under Uncertainty

Cited by 2 publications

References 29 publications

Increasing the sustainability of a fresh vegetables supply chain through the optimization of funding programs: A multi-objective mathematical programming approach

Increasing the sustainability of a fresh vegetables supply chain through the optimization of funding programs: A multi-objective mathematical programming approach

Evaluation of producer inflation, subsidies and profitability of vegetables and grains in Sinaloa, 2018-2019

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