Location Allocation of Sugar Beet Piling Centers Using GIS and Optimization

Abstract

The sugar beet is one of the most important crops for both social and economic reasons, even though the area under sugar beet cultivation in the Red River valley of North Dakota and Minnesota is comparatively smaller that of corn and other crop lands. It generates a large economic activity in local and regional level with a greater impact on jobs and stimulation of agriculture, transportation, and farm economy. Sugar beet transportation takes place in two stages in Red River Valley: the first step is from farms to piling centers (pilers) and the second step from pilers to processing facilities. This study focuses on the problem of optimizing piler locations based on supply variation. Sugar beet supply and harvest varies significantly due to numerous reasons such as weather, water availability, and different maturity dates for the crop. This provides for a variable optimal harvesting time based on the plant maturity and sugar content. Sub-optimized pilers location result in the high transportation and utilization costs. The objective of this study is to minimize the sum of transportation costs to and from pilers and the pilers utilization cost. A two-step algorithm based on the geographical information system (GIS) with global optimization method is used to solve this problem. This method will also be useful for infrastructure decision makers such as planners and engineers to predict the truck volume on rural roads.

Potencial económico de agricultura de traspatio a partir de un sistema de información geográfica en una microrregión de Tantoyuca, Veracruz

“…Campos y Chillón (2020) estudiaron factores ambientales y elecciones turísticas según localización, con la geo codificación, mapeo y análisis espaciales de los alojamientos mediante SIG, sintaxis espacial y web-scraping para la utilización en la inversión privada y mejora de ciudades. A la vez que se minimiza la suma de los costos de transporte y utilización de apiladores, mediante un algoritmo de dos pasos basándose en este mismo (Dharmadhikari y Farahmand, 2019). También se analizaron los SIGs que ya habían sido elaborados en el contexto de agricultura, producción, aplicación y funcionalidad para construir un nuevo mapa basado en el monitoreo continuo (Nazarov et al, 2019).…”