An Emerging Industrial Business Model considering Sustainability Evaluation and using Cyber Physical System Technology and Modelling Techniques

Abstract: There is a kind of movement for people to consider sustainability in all their daily activities, not only in the acquisition of goods and services but including the care for health. This induces the emergence of a new business model. Any type of production system (PS) should thus consider sustainability in all its activities and a relationship, which includes not only customers but suppliers, and partners involved from conception, design, manufacturing and provide even service after the use and the disposal of the products. Therefore, an evaluation procedure for PS is proposed to monitor four aspects of sustainability, namely: environmental, social, economical and technological. A framework is considered to deal with the concepts of sustainability and to evaluate performance in industrial PSs considering the indicators to qualify and to quantify their sustainability. It adopts the Petri net technique and extensions of the ANSI/ISA95; Cyber Physical System (CPS) and Smart Grid resources are also considered to treat information processing, storage and access flows by each system component and a Cloud Computing System to connect dispersed PSs. In addition, an evaluation process is systematized to support sustainable PSs by the rational use of production resources and the environment, to guarantee the safety of employees and to maintain the economic profitability of the company, thus, making production processes more efficient.

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

[2]  C. O'Brien,et al.  Sustainable production - a new paradigm for a new millennium , 1999 .

[3]  Maria Leonilde Rocha Varela,et al.  Cloudlet architecture for dashboard in cloud and ubiquitous manufacturing , 2013 .

[4]  T. Bangemann,et al.  A system of systems view on collaborative industrial automation , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[5]  I. S. Jawahir,et al.  6.1 On improving the product sustainability of metallic automotive components by using the total life-cycle approach and the 6R methodology , 2013 .

[6]  I. S. Jawahir,et al.  Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels , 2010 .

[7]  Elita Amrina,et al.  Key performance indicators for sustainable manufacturing evaluation in automotive companies , 2011, 2011 IEEE International Conference on Industrial Engineering and Engineering Management.

[8]  S. Feng,et al.  Categorization of indicators for sustainable manufacturing , 2013 .

[9]  Paulo E. Miyagi,et al.  Modeling of Mechanisms for Reconfigurable and Distributed Manufacturing Control System , 2015, DoCEIS.

[10]  Manuel Silva,et al.  Half a century after Carl Adam Petri's Ph.D. thesis: A perspective on the field , 2013, Annu. Rev. Control..

[11]  Luis Gomes,et al.  Automatic synthesis of VHDL hardware components from IOPT Petri net models , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[12]  Paulo E. Miyagi,et al.  Diagnosis and Treatment of Faults in Productive Systems based on Bayesian Networks and Petri Net , 2007, 2007 IEEE International Conference on Automation Science and Engineering.

[13]  Vesela Veleva,et al.  Indicators of sustainable production , 2001 .