基于多准则决策方法的多电厂控股公司绩效指标排序与整合新方法

IF 3.7 4区 管理学 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
C.A. Murad , M.M. Bellinello , A.J. Silva , A. Caminada Netto , G.F.M. de Souza , S.I. Nabeta
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引用次数: 0

摘要

一家大型国际能源公司在几个国家拥有电力业务,包括巴西能源矩阵中的几个发电厂和输配电单位,该公司很长一段时间以来一直采取的政策是,绩效监测应留给每个单独的运营管理。这种分散的办法无疑被认为具有许多管理上的优点,因此目前正在实行,而且正在当地制订业绩指标。然而,这种方法有一个基本的缺点,即难以在各业务之间进行定量比较,即在公司一级进行适当的战术比较评估,具有直接和潜在的不利影响。因此,目前的工作是调查是否可能合并一套全面的指标,以便在不同发电厂之间进行更多的比较。该研究还采用了一种有效的排名方法,以便尽可能多地利用新的确定指标的管理优势。给出了一组选定指标的应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel methodology employed for ranking and consolidating performance indicators in holding companies with multiple power plants based on multi-criteria decision-making method

A large international energy corporation owning power operations in several countries, including several generation plants as well as transmission and distribution units in Brazil's energy matrix, adopts for quite some time now the policy that performance monitoring should be left to each individual operation's management. This decentralized approach is viewed as undoubtedly having a number of managerial advantages, so much, so that it is currently in force and performance indicators are being established locally. This approach, however, has the basic disadvantage that quantitative comparisons are hard to make between operations, i.e., adequate tactical comparative assessment at corporate level, with immediate and potential unfavorable implications. Therefore, the present work undertakes to investigate the possibility of consolidating a comprehensive set of indicators capable of accommodating more possibilities of comparison between different power generation plants. The research also employs an effective ranking method in order to take as much managerial advantage as possible of the new body of identified indicators. An application example involving a set of selected indicators is presented.

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来源期刊
Operations Research Perspectives
Operations Research Perspectives Mathematics-Statistics and Probability
CiteScore
6.40
自引率
0.00%
发文量
36
审稿时长
27 days
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