J
J. Rene Villalobos
Researcher at Arizona State University
Publications - 41
Citations - 1790
J. Rene Villalobos is an academic researcher from Arizona State University. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 14, co-authored 32 publications receiving 1485 citations. Previous affiliations of J. Rene Villalobos include University of Texas at El Paso.
Papers
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Journal ArticleDOI
Application of planning models in the agri-food supply chain: A review
Omar Ahumada,J. Rene Villalobos +1 more
TL;DR: This paper review the main contributions in the field of production and distribution planning for agri-foods based on agricultural crops and focuses particularly on those models that have been successfully implemented.
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Operational model for planning the harvest and distribution of perishable agricultural products
Omar Ahumada,J. Rene Villalobos +1 more
TL;DR: In this paper, an operational model that generates short-term planning decisions for the fresh produce industry is presented, which helps the grower to maximize his revenues by making production and distribution decisions during the harvest season.
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A tactical model for planning the production and distribution of fresh produce
Omar Ahumada,J. Rene Villalobos +1 more
TL;DR: An integrated tactical planning model for the production and distribution of fresh produce to maximize the revenues of a producer that has some control over the logistics decisions associated with the distribution of the crop is presented.
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Tactical planning of the production and distribution of fresh agricultural products under uncertainty
TL;DR: In this article, a stochastic tactical planning model for the production and distribution of fresh agricultural products is presented, which incorporates the uncertainties encountered in the fresh produce industry when developing growing and distribution plans due to the variability of weather and demand.
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America West Airlines Develops Efficient Boarding Strategies
TL;DR: Analytical, simulation, and implementation results obtained show that the method represents a significant improvement in terms of boarding time over traditional pure back-to-front, outside-inside boarding strategies.