The CPS and LCA Modelling: An Integrated Approach in the Environmental Sustainability Perspective

The present paper clarifies the methodological framework to implement the integration of Cyber Physical Systems (CPS) in the perspective of environmental sustainability. Firstly, authors identify main methodological, software and hardware pre-requisites enabling the use of CPS systems in accordance with the literature and environmental standards. Then, the paper focuses on the main barriers in the case the information is distributed along a flexible supply chain and identifies a methodology to coordinate environmental information from ubiquitous sources by the use of modularization. This methodology is applied in the field of energy management for the steel sector for different production lines. In particular, it is highlighted as the consumption tracking may be linked to the real-time management of suppliers and processing cycles in order to pursue strategies for environmental impact minimization. Results emphasized as the development of the CPS systems that are designed for sustainability can produce relevant results for the effective restrain of industrial environmental impacts.

[1]  Ioan Dumitrache,et al.  The Enterprise of Future As a Cyber-Physical System , 2013, MIM.

[2]  Anne-Marie Tillman,et al.  Relating manufacturing system configuration to life-cycle environmental performance: discrete-event simulation supplemented with LCA , 2011 .

[3]  Günther Schuh,et al.  Increasing Collaboration Productivity for Sustainable Production Systems , 2015 .

[4]  M A Sinclair,et al.  Global drivers, sustainable manufacturing and systems ergonomics. , 2015, Applied ergonomics.

[5]  Sebastian Mosbach,et al.  Applying Industry 4.0 to the Jurong Island Eco-industrial Park , 2015 .

[6]  Thomas F. La Porta,et al.  Trustworthiness analysis of sensor data in cyber-physical systems , 2013, J. Comput. Syst. Sci..

[7]  Paul Schönsleben,et al.  A simulation-based decision support for eco-efficiency improvements in production systems , 2015 .

[8]  Andrea Bonci,et al.  A database-centric approach for the modeling, simulation and control of cyber-physical systems in the factory of the future. , 2016 .

[9]  C. Estevez,et al.  Green Cyber-Physical Systems , 2017 .

[10]  Sang Do Noh,et al.  Design and Implementation of a PLM System for Sustainable Manufacturing , 2012, PLM.

[11]  Behzad Esmaeilian,et al.  The evolution and future of manufacturing: A review , 2016 .

[12]  Hao Zhang,et al.  A conceptual model for assisting sustainable manufacturing through system dynamics , 2013 .

[13]  Andres F. Clarens,et al.  A Review of Engineering Research in Sustainable Manufacturing , 2013 .

[14]  Gert Adriaan Oosthuizen,et al.  Investigating the Effects of Smart Production Systems on Sustainability Elements , 2017 .

[15]  Jaime A. Camelio,et al.  An approach to cyber-physical vulnerability assessment for intelligent manufacturing systems , 2017 .

[16]  D. Wang,et al.  Data Reliability Challenge of Cyber-Physical Systems , 2017 .

[17]  E. Carpanzano,et al.  A modular framework for the LCA-based simulation of production systems , 2011 .

[18]  Ayan Banerjee,et al.  Research directions in energy-sustainable cyber-physical systems , 2011, Sustain. Comput. Informatics Syst..

[19]  Kwangyeol Ryu,et al.  Capturing green information and mapping with MES functions for increasing manufacturing sustainability , 2014 .

[20]  Jay Lee,et al.  A Cyber Physical Interface for Automation Systems—Methodology and Examples , 2015 .