A Framework to Evaluate the Performance of a New Industrial Business Model

Abstract: In a new industrial business model, all aspects of sustainability, i.e. (i) environmental for reduction of negative impacts of using resources, (ii) economic for viability and profitability of business, (iii) social for assuring the safety of employees, communities and consumers, and (iv) technological for efficient and safe use of production resources, need to be effectively incorporated in the productive activities. On the other hand, existing decision-making structures in industries do not explicitly consider how to deal with sustainability indicators when developing a productive system (PS) and its control system. Therefore, this paper discusses the components of a framework and their interactions to apply new concepts to evaluate performance in industrial PSs considering the indicators to qualify and to quantify their sustainability. The framework adopts the Petri net technique and extensions of the ANSI/ISA 95 standard to systemize the evaluation process. This approach assures a formal way to verify and to validate the system sustainability. Besides, the framework considers information processing, storage and access flows between each system component under Cyber Physical System (CPS) and Cloud Computing concepts.

[1]  Diolino J. Santos Filho,et al.  An Emerging Industrial Business Model considering Sustainability Evaluation and using Cyber Physical System Technology and Modelling Techniques , 2016 .

[2]  Paulo E. Miyagi,et al.  Systematization of Performance Evaluation Process for Industrial Productive Systems Considering Sustainability Indicators , 2016, DoCEIS.

[3]  Edson H. Watanabe,et al.  A Framework to Evaluate the Performance of Disperse Productive System through Sustainability Performance Indicators , 2015 .

[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.  Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels , 2010 .

[6]  Maurizio Tomasella,et al.  Vision and Challenges for Realising the Internet of Things , 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]  Peter M. Senge,et al.  Innovating Our Way to the Next Industrial Revolution , 2001 .

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

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

[11]  Jack Andrew Goldstone,et al.  Efflorescences and Economic Growth in World History: Rethinking the "Rise of the West" and the Industrial Revolution , 2002 .

[12]  Fabrício Junqueira,et al.  Control architecture and design method of reconfigurable manufacturing systems , 2016 .

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

[14]  Paulo E. Miyagi,et al.  On Resource Arc for Petri Net Modelling of Complex Resource Sharing System , 1999, J. Intell. Robotic Syst..

[15]  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 .

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

[17]  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.

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

[19]  Jay Lee,et al.  Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment , 2015 .