A decisional simulation-optimization framework for sustainable facility location of a biodiesel plant in Colombia

Location Data Analytics in the Business Value Chain: A Systematic Literature Review

“…Other data sources correspond to dedicated location information providers such as the Environmental Systems Research Institute (ESRI 1 ), Openstreetmap 2 , and Google [11], [12], [17], [24], [44], [45], [47]- [50], [52], [54], [55], [60], [64], [76], [78], [80]- [85], [87]- [93], [95]- [97], [107], [108], [111]- [114], [117], [118], [121], [126], [127], [129], [132], [137], [138], [143], [147], [149]- [154], [156], [157], [159], [168], [169], [171], [175]- [184], [192], [197], [199]...…”

“…The nature of the variables included in the data sets is very diverse. In facility location problems, particularly in fuel refineries, the environmental aspects are crucial to choose where to extract the natural resources from, and the implications of the logistics costs of the selected location [80], [81], [83], [84]. In Tourism, environmental features can affect business dynamics and user preferences, e.g., prices, distances, and landmarks.…”

“…Within location analysis, the facility location problem stood out as an important problem in different contexts. There is high interest in researching about the optimal location to install new facilities, according to industry and business needs, by considering the sustainability and economic viability of the locations as decisive investment factors [11], [12], [80], [87], [91].…”

“…The second most addressed problem type was spatial analysis, which represents 32.74% of the papers. All the studies that performed some level of descriptive analysis, inference, or observation of spatial properties of events used [13], [44], [45], [47]- [50], [52]- [55], [60], [64], [65], [76], [78], [80]- [91], [95]- [97], [101], [102], [104], [107]- [109], [111]- [115], [117], [118], [121], [126], [138], [143]- [148], [150]- [152], [155], [157], [159], [161], [163], [166]- [171], [174]- [184], [186], [192], [196], [198], [199] Spatial analysis 55 32.74% [11],…”

Modelación matemática en estudio de agro-cadenas: una revisión de literatura

“…Uno X X X [191] Uno X X X [192] Uno X X X X [193] Uno X X X [194] Uno X X X [195] Uno X X X [196] Uno X X X X [197] Uno X X X X [198] Uno X X X X X [199] Uno Las variables que más se analizan por la comunidad científica, se tiene los costos (133 trabajos), el lead time o tiempo de entrega (70 trabajos), el impacto ambiental (50 trabajos), calidad (47) y la utilidad (41 trabajos) entre otros. Esto muestra que, varios autores se centran por mejorar el rendimiento de la cadena a partir la medición de variables como los costos y los tiempos de respuesta; sin embargo, esto no quiere decir que no presten atención a temas asociados a sostenibilidad ambiental, dado que un número importante de investigaciones han abordado este aspecto.…”