Special Issue: Data and Knowledge-based Approaches for Advanced Industrial and Systems Management
This special issue provides examples of research problems dealing with data and knowledge-based approaches for advanced industrial systems management. Indeed, relevant and timely processing of data and information and subtle exploitation of expert knowledge has always been essential for ensuring the success and value of information systems. The power of data management, information, and knowledge in industrial systems, but more broadly speaking in most computerized systems, seems unlimited and still offers ample room for investigations along many of their facets or dimensions. Data, information, and knowledge are central in system interaction and collaboration, and they are essential for agents in charge of managing these systems and making decisions on them. Research and development on data and knowledge management systems, or simply information systems, has obviously a bright future. Their achievements have proved to be unmissable components for solving problems, as illustrated by this selection of papers. Some of the work comes from the 2019 edition of the International Conference on Industrial Engineering and Systems Management (IESM 2019), held in Shanghai, China, on September 25-27, 2019.
Edited by
Principle Guest Editor: François B. Vernadat(University of Lorraine, France)
Co-Guest Editor: Feifeng Zheng(Donghua University, China)
Co-Guest Editor: Chengbin Chu(ESIEE Paris, France)