{"title":"Review of resource efficiency assessments in manufacturing: An integration model for production information systems","authors":"Qi Fang, Mélanie Despeisse, Björn Johansson","doi":"10.1016/j.cesys.2025.100318","DOIUrl":null,"url":null,"abstract":"<div><div>Resource efficiency is core for the competitiveness of manufacturing companies in their transition towards responsible consumption and production. But academia and industry still lack thorough knowledge about effective resource efficiency assessment methods and opportunities offered by industrial digitalization to implement these methods. This study systematically reviewed and categorized resource efficiency assessment methods in the manufacturing sector. A method library with 43 selected assessment methods was created based on a criterion for effective implementation. Subsequent analysis shows the wealth and diversity of existing assessment methods. However, the results also indicated that the methods are rarely connected to production information systems and standards, therefore hindering their effectiveness in industrial use cases. This paper proposes an integration model to help industrial users in selecting relevant and useable resource efficiency assessments based on data availability. This model aims to overcome the barriers to implementation identified in this systematic review. Future research will focus on consolidating the integration model through industry collaboration while also addressing emerging resource efficiency methods and standards.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"18 ","pages":"Article 100318"},"PeriodicalIF":4.9000,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Environmental Systems","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666789425000649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Resource efficiency is core for the competitiveness of manufacturing companies in their transition towards responsible consumption and production. But academia and industry still lack thorough knowledge about effective resource efficiency assessment methods and opportunities offered by industrial digitalization to implement these methods. This study systematically reviewed and categorized resource efficiency assessment methods in the manufacturing sector. A method library with 43 selected assessment methods was created based on a criterion for effective implementation. Subsequent analysis shows the wealth and diversity of existing assessment methods. However, the results also indicated that the methods are rarely connected to production information systems and standards, therefore hindering their effectiveness in industrial use cases. This paper proposes an integration model to help industrial users in selecting relevant and useable resource efficiency assessments based on data availability. This model aims to overcome the barriers to implementation identified in this systematic review. Future research will focus on consolidating the integration model through industry collaboration while also addressing emerging resource efficiency methods and standards.