在模糊层次分析过程的支持下定义工业安装的位置

G. F. D. Souza, L. L. Corso
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引用次数: 0

摘要

层次分析法结合模糊逻辑应用于工业装置的位置定义问题。这个问题有四个可能的地点,每个地点都有六个不同的标准。本文提出的工具从方法学的角度证明是有效和有用的,因为一些研究已经证明了它们的有效性。这是现代工业的一个特点,在其过程中不断追求更高的生产力、敏捷性、创新和速度。总和起来,表达行业4 . 0,这包括技术自动化、数据交换网络的事情,云计算和网络-physical系统的概念,seeks facilitate智能工厂的幻想。但是,在没有工业设施或希望扩大设施的情况下,必须考虑到若干因素作出这一重要决定。管理人员在处理确定工业设施位置的任务时,往往发现很难提供技术理由。这类决定对企业的健康极为重要,在作出选择时必须尽可能果断。为了模拟人类偏好的不确定性,本文着重介绍了层次分析法与模糊逻辑相结合的应用,以确定工业装置的位置问题。这个问题有四种可能的位置,每一种都评估了六种不同的标准。从方法学的角度来看,本文所介绍的工具证明是高效和有用的,因为一些工作已经证明了它们的有效性。
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Definição de localidade para instalação industrial com o apoio do Fuzzy – Processo Analítico Hierárquico
método AHP combinado com a Lógica Fuzzy aplicado à um problema de definição de localidade para instalação industrial. O problema em questão conta com quatro possíveis localidades, e para cada, avalia-se seis diferentes critérios. As ferramentas apresentadas neste artigo demonstram-se eficientes e úteis do ponto de vista metodológico, uma vez que vários trabalhos já comprovaram a sua eficácia. Abstract It is a characteristic of modern industry, the constant search for more productivity, agility, innovation and speed in its processes. And to sum up, the expression Industry 4.0, which includes technologies for automation, data exchange, internet of things, cloud computing and concepts of cyber-physical systems, seeks to facilitate the vision of intelligent factories. However, when there is still no industry installed or when it is desired to expand the facilities, this important decision must be made taking several factors into account. Executives commonly find it difficult to provide technical justifications when they are tasked with defining the location of the industrial facility. This type of decision can be extremely important for the health of the enterprise, and it is essential to have the greatest possible assertiveness in the choice. In order to model the uncertainty of human preference, this article aimed to present the application of the AHP method combined with the Fuzzy Logic applied to a problem of defining a location for an industrial installation. The problem in question has four possible locations, and for each, six different criteria are evaluated. The tools presented in this article prove to be efficient and useful from a methodological point of view, since several works have already proved their effectiveness.
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