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| Samadpour,E; Zahmatkesh,D; Nemati,MH; Shahir,MH. |
| ABSTRACT This study was conducted using Analytic Hierarchy Process (AHP) in order to rank broiler breeding farms in Zanjan province, Iran, regarding buildings, installations, and equipment to determine their effects on production factors. Data on 108 farms were collected using designed forms. This data was analyzed based on the effectiveness of each parameter in the production and management category according to experts’ opinion. The results indicated that ventilation systems (fans, inlets, and damper) as well as wall and roof insulation in poultry houses, constituted 66% of the technology coefficient. The stocking density increased through improvement of the mechanization coefficient. Most of these farms used longitudinal or tunnel ventilation and a... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Analytic Hierarchy Process; Broiler; Buildings; Installations; Mechanization. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2018000200211 |
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| Luo, Xin-mao; He, Hong-wei; Ke, Xin-li. |
| Taking Zhongxiang City, Hubei Province, China as an example, evaluation index system of urban land intensive use is established from four aspects of land economic benefit, land utilization degree, investment intensity, and sustainable utilization. Analytic Hierarchy Process (AHP) is used to determine the weight of evaluation index in research region. Taking the index numerical value of Hubei Province as the standard value, index value of the research region is evaluated. Combining with the index weight obtained by AHP, urban land intensive use is evaluated by the weighted average. Result shows that land intensive use level of Zhongxiang City is much lower than the average level of Hubei Province. Therefore, urban land of Zhongxiang City is of is great... |
| Tipo: Thesis or Dissertation |
Palavras-chave: Urban land; Intensive use; Analytic Hierarchy Process; Zhongxiang City; China; Land Economics/Use; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy. |
| Ano: 2009 |
URL: http://purl.umn.edu/58482 |
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| Guo, Zheng; Nie, Hua; Zang, Runguo. |
| According to the problem of seriously degraded natural forest in Southwest China prior to the implementation of Natural Forest Protection Project, under the guidance of principle of practicality and systematicness, we establish the comprehensive-benefit evaluation index system of restoring the degraded natural forest in Southwest China, including 3 second-level indices, 12 third-level indices and 24 fourth-level indices. In addition, we use the method of Analytic Hierarchy Process to conduct comprehensive-benefit evaluation on implementation of Natural Forest Protection Project in Southwest China. The results show that since ten years of implementation of Natural Forest Protection Project in Southwest China, it has gained considerable comprehensive... |
| Tipo: Journal Article |
Palavras-chave: Southwest China; Comprehensive-benefit evaluation; Index system; Analytic Hierarchy Process; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/118283 |
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| Meixner, Oliver; Pochtrager, Siegfried; Haas, Rainer. |
| Numerous companies in the Austrian food industry have already been certified in accordance with the ISO 9000 standards. However, the introduction of a quality management system in a company alone does not guarantee continuous improvement as required by the standard ÖNORM ISO 9001:2000. In order to be successful when introducing and maintaining a quality management system in a company, a number of important factors must be considered. These success factors are derived from the „European Foundation for Quality Management (EFQM) Model for Business Excellence“. The purpose of the EFQM Model is to support the internal assessment of the quality management within a company, and it can be regarded as a motor for internal improvement. In particular, for companies... |
| Tipo: Journal Article |
Palavras-chave: Quality management; Success factors; Analytic Hierarchy Process; Model evaluation; Food industry; Agribusiness. |
| Ano: 2004 |
URL: http://purl.umn.edu/97434 |
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| PEREIRA, S. E. M.; MANZATTO, C. V.; SKORUPA, L. A.; PENTEADO, M. I. de O.; SIMÕES, M.; NOVAES, R. M. L.; OLIVEIRA, P. de. |
| This paper will explore the implications of using multi-criteria analysis (MCA) and geographical information systems (GIS) along with strategic planning forecasting tools to map priority areas for crop-livestock-forest integration (CLFI) transferring technology actions (TT). Although it is usual works with MCA in GIS, there is no established approach to the definition of objectives, guidelines and criteria. Thus, we chose to use the strategic planning for it. The steps of this work were developed with TT and CLFI professionals of whole country. Which allowed us to identify and validate the guidelines and the criteria and drawing the thematic integration model of the evaluation with participatory approach. Thus, the guidelines were defined focused in... |
| Tipo: Separatas |
Palavras-chave: Spatial Evaluation; Spatial Decision support system; Analytic Hierarchy Process; Multi-criteria analysis; SDSS; AHP; MCA. |
| Ano: 2018 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103507 |
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| Lou, Zhao; Xu, Zhong; Zhang, Lei. |
| Analytic Hierarchy Process is selected according to the selection method of leading industries by both domestic and foreign scholars. Leading industries which can accelerate the overall economic development of Anshun Experimental District is taken as the target layer; and market demand, efficiency standards and local conditions are taken as the criterion layers, so as to construct the select model of leading industry and to choose the leading industry in Anshun Experimental District. Result shows that the priority order of the leading industry selection in Anshun Experimental District is as follows: tourism > pharmacy > transportation > energy > food processing > characteristic agriculture > package and printing > automobile industry ＞... |
| Tipo: Journal Article |
Palavras-chave: Anshun Experimental District; Leading industry; Analytic Hierarchy Process; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/108421 |
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