| Title |
A Framework to Evaluate the Performance of a New Industrial Business Model |
| ID_Doc |
71024 |
| Authors |
Watanabe, EH; da Silva, RM; Tsuzuki, MSC; Junqueira, F; dos Santos, DJ; Miyagi, PE |
| Title |
A Framework to Evaluate the Performance of a New Industrial Business Model |
| Year |
2016 |
| Published |
Ifac Papersonline, 49.0, 31 |
| DOI |
10.1016/j.ifacol.2016.12.162 |
| 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. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
| Author Keywords |
Sustainable manufacturing; performance evaluation; cyber physical system; business model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000401260800011 |
| WoS Category |
Automation & Control Systems |
| Research Area |
Automation & Control Systems |
| PDF |
https://doi.org/10.1016/j.ifacol.2016.12.162
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