Selecting the Sustainable Fresh Food Surface Transport Array Using Analytic Hierarchy Process - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. IFIP WG 5.7 International Conference. Part II Access content directly
Conference Papers Year : 2021

Selecting the Sustainable Fresh Food Surface Transport Array Using Analytic Hierarchy Process

Irenilza De Alencar Nääs
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Nilsa Silva Lima
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Manoel Eulálio Neto
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Gilson Tristão Duarte
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Abstract

The present study investigates the various arrays of the sectors involved in the logistic of fresh food transportation and distribution, considering the sustainability of the overall process, applying the AHP technique. The focus was on Brazil’s fresh food distribution centers and how it is distributed in large cities. The criteria applied in two levels were selected from the literature, and the judgment was made by three experts using an online AHP platform. The final computation was considered the best array with a very high (90.4%) degree of agreement between the participants. The choice of Local food represented 72.1% in the concept of high sustainability. Choosing local foods must not be feasible in large countries or in countries that depend on food imports. However, for fresh food production, the local food production benefits go beyond economic costs, as it helps reduce greenhouse gas emissions, improve the carbon footprint of consumers, encourage sustainable agriculture, and have the shortest traceability.
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hal-04117697 , version 1 (05-06-2023)

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Irenilza De Alencar Nääs, Nilsa Silva Lima, Manoel Eulálio Neto, Gilson Tristão Duarte. Selecting the Sustainable Fresh Food Surface Transport Array Using Analytic Hierarchy Process. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.655-660, ⟨10.1007/978-3-030-85902-2_70⟩. ⟨hal-04117697⟩
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