A Framework for Self-Evaluation and Increase of Resource-Efficient Production through Digitalization

被引:6
作者
Haag, Sebastian [1 ]
Bauerdick, Christoph [2 ]
Campitelli, Alessio [3 ]
Anderl, Reiner [1 ]
Abele, Eberhard [2 ]
Schebek, Liselotte [3 ]
机构
[1] Tech Univ Darmstadt, Dept Comp Integrated Design, Otto Berndt Str 2, D-64287 Darmstadt, Germany
[2] Tech Univ Darmstadt, Inst Prod Management Technol & Machine Tools, Otto Berndt Str 2, D-64287 Darmstadt, Germany
[3] Tech Univ Darmstadt, Mat Flow Management & Resource Econ, Franziska Braun Str 7, D-64287 Darmstadt, Germany
来源
51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS | 2018年 / 72卷
关键词
Digital Transformation; Industrie; 4.0; Resource Efficiency; Data Analysis;
D O I
10.1016/j.procir.2018.03.304
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Modern sensor technology and decreasing hardware costs enable the collection of a wide range of data. Nonetheless, the collection of data itself does not generate value. The collected data must be processed and analysed. Many small and medium-sized enterprises already collect a number of data. However, there is no definite strategy, which data needs to be collected in order to acquire relevant insights into processes. The enormous potential of data analysis and the current lack of its implementation caused the development of this framework. It will assist enterprises to evaluate their own level of digitalization to assess resource use. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:850 / 855
页数:6
相关论文
共 12 条
[1]  
[Anonymous], 2005, COMM COMM COUNC EUR
[2]  
[Anonymous], 2015, Erschliessen der der Potenziale der Anwendung von "Industrie 4.0"im Mittelstand: Studie beauftragt vom Bundesministerium fur Wirtschaft und Energie (BMWi)
[3]  
[Anonymous], 2015, MAT RES PROD ENV
[4]  
Arbeitsgemeinschaft Energiebilanzen, 2016, EN NACH EN SEKT ANW
[5]  
Arthur Charles., 2013, Tech giants may be huge, but nothing matches big data
[6]  
Dosch S., 2015, VDMA FORUM INDUSTRIE
[7]  
Lineback Rob, 2010, MARKET NEXT GENERATI
[8]  
Schebek L., 2017, Ressourceneffizienz Durch Industrie 4.0: Potenziale fur KMU des Verarbeitenden Gewerbes
[9]  
Simpson Lee, 2014, IOT LOOKING SENSORS
[10]  
Steffen W., 2004, IGBP GLOBAL CHANGE S