A. Kluczek
{"title":"Industrial Plants Performance Evaluation Using Dynamic Dea","authors":"A. Kluczek","doi":"10.21008/J.2083-4950.2016.6.5.8","DOIUrl":null,"url":null,"abstract":"The objective of the paper is to evaluate the energy efficiency performance of industrial plants based on energy audit measures using dynamic Data Envelopment Analysis. The paper demonstrates a three-stage DEA based on slacks-based measure approach to evaluate the energy efficiency of U.S. industrial plants. Also, a 3-step approach to select relevant variables to be employed in slacks-based measure model. The paper has revealed inefficiencies of industrial plants, which were considered as efficient ones examined individually in energy audit procedure. The results indicate that half of analysed plants are not performing at high energy efficiency, given a total of 6 facilities were operating efficiently. It shows that these industrial plants appear to have the potential to reduce their energy use and cost. Moreover, the results were enriched with the additional analysis of input excesses and output shortfalls and further suggestions for improving energy efficiency are provided. Paper type: Research Paper Published online: 28 October 2016 Vol. 6, No. 5, pp. 465–476 DOI: 10.21008/j.2083-4950.2016.6.5.8 ISSN 2083-4942 (Print) ISSN 2083-4950 (Online) © 2016 Poznan University of Technology. All rights reserved.","PeriodicalId":324850,"journal":{"name":"Research in Logistics and Production","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Logistics and Production","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21008/J.2083-4950.2016.6.5.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
基于动态Dea的工业厂房绩效评价
本文的目的是利用动态数据包络分析来评估基于能源审计措施的工业工厂的能源效率绩效。本文展示了一种基于松弛度量的三阶段DEA方法来评估美国工业工厂的能源效率。同时,提出了一种选择相关变量的三步法,用于基于松弛的度量模型。本文揭示了在能源审计程序中被视为高效的工业厂房的低效率。结果表明,考虑到总共6个设施的高效运行,一半的分析工厂的能源效率不高。这表明,这些工业工厂似乎有潜力减少能源使用和成本。此外,通过对投入过剩和产出不足的额外分析,丰富了研究结果,并提出了进一步提高能源效率的建议。论文类型:研究论文在线发表:2016年10月28日Vol. 6, No. 5, pp. 465-476 DOI: 10.21008/j.2083-4950.2016.6.5.8 ISSN 2083-4942 (Print) ISSN 2083-4950 (online)©2016波兹南理工大学。版权所有。
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