首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Determine the Efficiency Frontier of a Manufacturing Factory through a Data-driven Approach
  • 本地全文:下载
  • 作者:Andrea Bosi ; Alessandro Grizzetti ; Marco Silvestri
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:779-784
  • DOI:10.1016/j.ifacol.2022.09.504
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The theme of manufacturing plants energy efficiency in the last decade has assumed ever increasing importance, in the light of multiple environmental, economic, and regulatory considerations. In the literature it is possible to find many proposals for methods and models to evaluate energy consumption of operating machines and margins for improvement with respect to the state of the art or the technology theoretical limits. From a regulatory point of view, international standards such as ISO 50001 and ISO 14995 have contributed to building a shared reference framework. In industrial practice, however, the knowledge of these tools is still partial, and their implementation encounters significant organizational, technological, and economic obstacles. The most evident implication of this situation is the lack of published data relating to the actual consumption of the operating machines and the real potential for improvement that can be obtained. This paper presents a decision support tool suitable for use on an existing machine park and its application to a significant industrial case. Moreover, is discussed the impact that can be achieved by consistently applying the method.
  • 关键词:Sustainable Manufacturing;Decision Support System;Monitoring of manufacturing systems
国家哲学社会科学文献中心版权所有