A framework to help decision makers to be environmentally aware during the maintenance of cyber physical systems

• Published in: Environmental impact assessment review Vol. 77; pp. 11 - 22
• Main Authors: Sénéchal, Olivier, Trentesaux, Damien
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Inc 01.07.2019; Elsevier BV; Elsevier
• Subjects: Automatic; Cyber-physical systems; Decision makers; Decision making; Deployment; Disease management; Engineering Sciences; Environmental indicators; Environmental management; Environmental performance; Fault detection; Human influences; Impact assessment; Maintenance; Medical prognosis; Performance indicator; Performance indicators; Preoccupation; Process engineering; Prognostics; Public opinion; Sustainability; Sustainability reporting; Triple Bottom Line; Performance indicator; Impact assessment; Maintenance; Sustainability; Prognostics
• ISSN: 0195-9255; 1873-6432
• DOI: 10.1016/j.eiar.2019.02.007

For decades, maintenance of facilities and equipment, as well as related activities (from fault detection to prognostics and health management), has a proven impact on efficiency of production systems and is thus still the subject of numerous developments (from corrective to proactive maintenance). These developments are supported by the increase in digital pervasiveness accompanying the Industry 4.0. concept, based in particular on the use of Cyber-Physical Systems. In addition, we are witnessing the growing interest of the political and academic world and public opinion with regard to the sustainable impact of human activity. For company decision-makers, triple bottom line accounting frameworks have been introduced at higher decision levels (strategic) based on economic, social, and environmental performance indicators. This triple preoccupation has not yet been integrated into studies on middle (tactical) and lower (operational) decision levels, and paradoxically, not into production facility health management either. In this paper, we propose the deployment of a framework helping decisions makers to be environmentally aware in the maintenance of cyber physical systems. This framework consists of three key elements: a new maintenance policy called Sustainable Condition-Based Maintenance (SCBM), which requires the assessment of the Remaining Sustainable Life (RSL) as a key indicator; an adaptation and extension of a generic prognostic business process initially proposed for traditional Conditions Based Maintenance (CBM); and an organization adapted to the prognosis of the environmental performance of systems, based on holonic structures. We present the implementation of such a framework on a real Cyber Physical Systems under development.