J
José María Ponce-Ortega
Researcher at Universidad Michoacana de San Nicolás de Hidalgo
Publications - 335
Citations - 6856
José María Ponce-Ortega is an academic researcher from Universidad Michoacana de San Nicolás de Hidalgo. The author has contributed to research in topics: Supply chain & Reuse. The author has an hindex of 39, co-authored 301 publications receiving 5645 citations. Previous affiliations of José María Ponce-Ortega include Texas A&M University.
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Optimal planning and site selection for distributed multiproduct biorefineries involving economic, environmental and social objectives.
José Ezequiel Santibañez-Aguilar,J. Betzabe González-Campos,José María Ponce-Ortega,Medardo Serna-González,Mahmoud M. El-Halwagi,Mahmoud M. El-Halwagi +5 more
TL;DR: In this article, the authors presented an optimization model to design and plan sustainable biorefinery supply chains that considers numerous relevant issues, including feedstock selection, processing routes, products, harvesting sites, processing and markets, as well as numerous other sustainability criteria.
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Facility Location and Supply Chain Optimization for a Biorefinery
TL;DR: In this paper, a systematic approach for the optimal production planning and facility placement of a biorefinery is presented, where a structural representation is developed to include sources of biomass.
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Optimal planning for the sustainable utilization of municipal solid waste
José Ezequiel Santibañez-Aguilar,José María Ponce-Ortega,J. Betzabe González-Campos,Medardo Serna-González,Mahmoud M. El-Halwagi,Mahmoud M. El-Halwagi +5 more
TL;DR: A mathematical programming model for the optimal planning of the supply chain associated to the MSW management system to maximize the economic benefit while accounting for technical and environmental issues is proposed and applied to a case study for the west-central part of Mexico.
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Optimal Planning of a Biomass Conversion System Considering Economic and Environmental Aspects
José Ezequiel Santibañez-Aguilar,J. Betzabe González-Campos,José María Ponce-Ortega,Medardo Serna-González,Mahmoud M. El-Halwagi +4 more
TL;DR: In this paper, a multiobjective optimization model based on a mathematical programming formulation for the optimal planning of a biorefinery, considering the optimal selection of feedstock, processing technology, and a set of products, is presented.
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Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers
TL;DR: In this article, an approach based on genetic algorithms for the optimal design of shell-and-tube heat exchangers is presented. But the approach uses the Bell-Delaware method for the description of the shell-side flow with no simplifications.