Zobrazeno 1 - 10
of 57
pro vyhledávání: '"William Sarache"'
Publikováno v:
Geo Journal of Tourism and Geosites, Vol 49, Iss 3, Pp 1037-1045 (2023)
The 15-minute city aims to decentralize the urban economic poles to provide local services to its entire population. The objective of this research is to geographically determine the economic poles in an intermediate Latin American city and evaluat
Externí odkaz:
https://doaj.org/article/53ca8d2e928941a596244b55bbd3af8e
Publikováno v:
Geo Journal of Tourism and Geosites, Vol 49, Iss 3, Pp 1056-1066 (2023)
Active mobility projects can potentially initiate paradigm shifts in population and urban planning decision-makers. This paper aims to conduct a social cost-benefit analysis of an active mobility project in a Colombian city. The increase of physica
Externí odkaz:
https://doaj.org/article/dd9b7336e63a484eaaf6042a91e8706d
Publikováno v:
Management Letters/Cuadernos de Gestión, Vol 22, Iss 2, Pp 81-96 (2022)
Operations strategy is a mature field and requires novel insights for further research and practitioners in companies. To fill this gap, 280 articles were analyzed, by way of a systematic literature review, considering two approaches: topic perspecti
Externí odkaz:
https://doaj.org/article/dac3451a1949485c947a7fff0bb09545
Publikováno v:
Revista de Matemática: Teoría y Aplicaciones, Vol 22, Iss 1, Pp 113-134 (2015)
This paper develops a methodology based on population genetics to improve the performance of two or more variables in job shop production systems. The methodology applies a genetic algorithm with special features in the individual selection when they
Externí odkaz:
https://doaj.org/article/26e8137c88fa48af8a6192c96b0282db
Publikováno v:
Dyna, Vol 78, Iss 168, Pp 149-157 (2011)
El objetivo del presente trabajo, es definir una nueva metodología la cual permita comparar la efectividad de algunas de las principales técnicas de inteligencia artificial (aleatorias, búsqueda tabú, minería de datos, algoritmos evolutivos). Es
Externí odkaz:
https://doaj.org/article/c0cfd6197a694e70a02c2bc3ea29a232
Publikováno v:
Dyna, Vol 76, Iss 159, Pp 177-184 (2009)
The purpose of this study is to reduce the total process time (Makespan) and to increase the machines working time, in a job shop environment, using a heuristic based on ant colony optimization. This work is developed in two phases: The first stage d
Externí odkaz:
https://doaj.org/article/3af1efb95e01473c99bab856f6571452
Publikováno v:
Sustainable Production and Consumption. 27:1372-1391
In order to face the different pressures associated with the environmental damage generated by production processes, the Green Supply Chain Management (GSCM) approach is an alternative for manufacturing companies, as it allows them to have more susta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6afe088dfd8d20458a9579b47f0e2b7f
https://doi.org/10.1016/j.spc.2021.03.009
https://doi.org/10.1016/j.spc.2021.03.009
Publikováno v:
Formación universitaria, Volume: 13, Issue: 6, Pages: 217-228, Published: DEC 2020
Formación universitaria v.13 n.6 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
Formación universitaria v.13 n.6 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
Resumen: En este artículo se realiza un estudio sobre las principales variables que afectan el abandono estudiantil. Se predice el comportamiento del abandono estudiantil (variable dependiente) usando 25 variables independientes agrupadas en 5 categ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97589a1290adc5fb70389cf1f9867359
https://doi.org/10.4067/s0718-50062020000600217
https://doi.org/10.4067/s0718-50062020000600217
Publikováno v:
Benchmarking: An International Journal. 28:670-694
PurposeThis study aims to explore manufacturing companies' environmental performance with the green supply chain management (GSCM) approach, taking into account company size, geographic region, industrial sector, target market and environmental manag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a04ac798d0d4ec7418d6e71d4e229f3f
https://doi.org/10.1108/bij-05-2020-0225
https://doi.org/10.1108/bij-05-2020-0225
Publikováno v:
Formación universitaria v.13 n.1 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
SciELO Chile
CONICYT Chile
instacron:CONICYT
espanolResumen: El objetivo de este articulo es predecir el rendimiento academico de estudiantes de educacion superior, a partir de diversos factores influyentes usando tecnicas de inteligencia artificial (clasificadores). El estudio de tales factore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1acdd6631fd0b18b04c615666babde51
https://doi.org/10.4067/s0718-50062020000100093
https://doi.org/10.4067/s0718-50062020000100093