Locating Advisory and Agricultural Engineering Service Network using Set Covering Model

Introduction In this research, a part of the requirements for the establishment of a network of consultancy, agricultural engineering and technical services in the agricultural sector, which is related to the location of these centers, has been reviewed. The location of these centers has been done t...

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Autores principales:	M Zangeneh, A Akram
Formato:	article
Lenguaje:	EN FA
Publicado:	Ferdowsi University of Mashhad 2019
Materias:	services coverage distance village demand Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/517e71ee5e4840b7aeffa824e3f43d84
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id	oai:doaj.org-article:517e71ee5e4840b7aeffa824e3f43d84
record_format	dspace
institution	DOAJ
collection	DOAJ
language	EN FA
topic	services coverage distance village demand Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	services coverage distance village demand Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 M Zangeneh A Akram Locating Advisory and Agricultural Engineering Service Network using Set Covering Model
description	Introduction In this research, a part of the requirements for the establishment of a network of consultancy, agricultural engineering and technical services in the agricultural sector, which is related to the location of these centers, has been reviewed. The location of these centers has been done through the determination of the field of operation and the appropriate establishment of consulting, engineering, and agricultural consulting companies based on regional capacities and taking into account the distance between the types of customers of such centers. Materials and Methods In the issue of locating service centers three main types of customer can be classified. First-class customers, which have the largest number among different types of customers, are farms and units that produce agricultural products. Each point of demand for these categories of customers may require different types of services at different times. Due to the large number and dispersion, these category of customers are considered as a focal point for ease of modeling in rural areas where they are located. Also, due to various reasons, including access to various facilities, security, traffic congestion and etc., the nominations for deployment of service centers are also considered in the same rural areas. In order to transport agricultural products from the place of production, the current location is considered to be the distance from the manufacturer's place, and the destination of the product is not studied in this issue. Second and third-type customers are demanding access to services at their own place. These types of customers may exist in some areas and agricultural supply chains. These two groups of customers include refineries, warehouses and silos mainly operating in the post-harvest of agricultural production. To meet the demand for each of the different demand points of different types of customers, the number of different trips from service centers to customer premises or vice versa is required. Each service center does not offer the same type of service to its customers. A total of 127 service packages are available for provision at a service center. Results and Discussion The main basis for choosing the optimal location for covering models is the placement of demand points in the defined coverage radius for the candidate points. Different radius were tested to find the perfect coverage radius in each of the studied villages. For this purpose, a radius of five to 160 kilometers was examined. In some coverage radius, not only does the optimal location not change, but the number of served points is also fixed. The location of different types of customers is different, so that the first type of customers are fully located in the village, but second and third type customers are widespread in the Hamedan province. Conclusions To conclude, it is necessary to consider the demand of customers located in the further distances of the service center due to the nature of the agricultural service, which requires inevitable traffic over long distances, when adjusting the operational plans of the agricultural service centers. To provide sufficient justification for the distance, though within the radius of coverage. Thus, the results of this research show that if all service centers cover 130 kilometers of radius, the largest number of customers will be covered. It should be noted that for the full coverage of all customers, the coverage radius of the service centers varies, but with the same radius, the 130 km radius is the largest coverage of the agricultural service centers in the Razan city.
format	article
author	M Zangeneh A Akram
author_facet	M Zangeneh A Akram
author_sort	M Zangeneh
title	Locating Advisory and Agricultural Engineering Service Network using Set Covering Model
title_short	Locating Advisory and Agricultural Engineering Service Network using Set Covering Model
title_full	Locating Advisory and Agricultural Engineering Service Network using Set Covering Model
title_fullStr	Locating Advisory and Agricultural Engineering Service Network using Set Covering Model
title_full_unstemmed	Locating Advisory and Agricultural Engineering Service Network using Set Covering Model
title_sort	locating advisory and agricultural engineering service network using set covering model
publisher	Ferdowsi University of Mashhad
publishDate	2019
url	https://doaj.org/article/517e71ee5e4840b7aeffa824e3f43d84
work_keys_str_mv	AT mzangeneh locatingadvisoryandagriculturalengineeringservicenetworkusingsetcoveringmodel AT aakram locatingadvisoryandagriculturalengineeringservicenetworkusingsetcoveringmodel
_version_	1718429833052028928
spelling	oai:doaj.org-article:517e71ee5e4840b7aeffa824e3f43d842021-11-14T06:34:54ZLocating Advisory and Agricultural Engineering Service Network using Set Covering Model2228-68292423-394310.22067/jam.v9i1.65741https://doaj.org/article/517e71ee5e4840b7aeffa824e3f43d842019-03-01T00:00:00Zhttps://jame.um.ac.ir/article_33642_b063bf25b97a70b17ec82fb0104426ed.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943Introduction In this research, a part of the requirements for the establishment of a network of consultancy, agricultural engineering and technical services in the agricultural sector, which is related to the location of these centers, has been reviewed. The location of these centers has been done through the determination of the field of operation and the appropriate establishment of consulting, engineering, and agricultural consulting companies based on regional capacities and taking into account the distance between the types of customers of such centers. Materials and Methods In the issue of locating service centers three main types of customer can be classified. First-class customers, which have the largest number among different types of customers, are farms and units that produce agricultural products. Each point of demand for these categories of customers may require different types of services at different times. Due to the large number and dispersion, these category of customers are considered as a focal point for ease of modeling in rural areas where they are located. Also, due to various reasons, including access to various facilities, security, traffic congestion and etc., the nominations for deployment of service centers are also considered in the same rural areas. In order to transport agricultural products from the place of production, the current location is considered to be the distance from the manufacturer's place, and the destination of the product is not studied in this issue. Second and third-type customers are demanding access to services at their own place. These types of customers may exist in some areas and agricultural supply chains. These two groups of customers include refineries, warehouses and silos mainly operating in the post-harvest of agricultural production. To meet the demand for each of the different demand points of different types of customers, the number of different trips from service centers to customer premises or vice versa is required. Each service center does not offer the same type of service to its customers. A total of 127 service packages are available for provision at a service center. Results and Discussion The main basis for choosing the optimal location for covering models is the placement of demand points in the defined coverage radius for the candidate points. Different radius were tested to find the perfect coverage radius in each of the studied villages. For this purpose, a radius of five to 160 kilometers was examined. In some coverage radius, not only does the optimal location not change, but the number of served points is also fixed. The location of different types of customers is different, so that the first type of customers are fully located in the village, but second and third type customers are widespread in the Hamedan province. Conclusions To conclude, it is necessary to consider the demand of customers located in the further distances of the service center due to the nature of the agricultural service, which requires inevitable traffic over long distances, when adjusting the operational plans of the agricultural service centers. To provide sufficient justification for the distance, though within the radius of coverage. Thus, the results of this research show that if all service centers cover 130 kilometers of radius, the largest number of customers will be covered. It should be noted that for the full coverage of all customers, the coverage radius of the service centers varies, but with the same radius, the 130 km radius is the largest coverage of the agricultural service centers in the Razan city.M ZangenehA AkramFerdowsi University of MashhadarticleservicescoveragedistancevillagedemandAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 9, Iss 1, Pp 221-233 (2019)

Locating Advisory and Agricultural Engineering Service Network using Set Covering Model

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