Development of a New Green Indicator and Its Implementation in a Cyber–Physical System for a Green Supply Chain
| Autor: | Juan C. Sanchez, María Pilar Lambán, Lisbeth del Carmen Ng Corrales, Jesús Royo, Paula Morella |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Internet of things
business.product_category Sustainable key performance indicators Industry 4.0 Computer science Supply chain Geography Planning and Development Internet of Things green supply chain sustainable Key Performance Indicators TJ807-830 cyber–physical system Management Monitoring Policy and Law TD194-195 Renewable energy sources Software GE1-350 Environmental effects of industries and plants Green supply chain Renewable Energy Sustainability and the Environment business.industry Cyber-physical system Energy consumption Machine tool Environmental sciences Risk analysis (engineering) Cyber–physical system Sustainability Performance indicator business |
| Zdroj: | Sustainability Volume 12 Issue 20 Zaguán: Repositorio Digital de la Universidad de Zaragoza Universidad de Zaragoza Zaguán. Repositorio Digital de la Universidad de Zaragoza instname TECNALIA Publications Fundación Tecnalia Research & Innovation Sustainability, Vol 12, Iss 8629, p 8629 (2020) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su12208629 |
| Popis: | This work investigates Industry 4.0 technologies by developing a new key performance indicator that can determine the energy consumption of machine tools for a more sustainable supply chain. To achieve this, we integrated the machine tool indicator into a cyber&ndash physical system for easy and real-time capturing of data. We also developed software that can turn these data into relevant information (using Python): Using this software, we were able to view machine tool activities and energy consumption in real time, which allowed us to determine the activities with greater energy burdens. As such, we were able to improve the application of Industry 4.0 in machine tools by allowing informed real-time decisions that can reduce energy consumption. In this research, a new Key Performance Indicator (KPI) was been developed and calculated in real time. This KPI can be monitored, can measure the sustainability of machining processes in a green supply chain (GSC) using Nakajima&rsquo s six big losses from the perspective of energy consumption, and is able to detect what the biggest energy loss is. This research was implemented in a cyber&ndash physical system typical of Industry 4.0 to demonstrate its applicability in real processes. Other productivity KPIs were implemented in order to compare efficiency and sustainability, highlighting the importance of paying attention to both terms at the same time, given that the improvement of one does not imply the improvement of the other, as our results show. |
| Databáze: | OpenAIRE |
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