2014
DOI: 10.1016/j.compind.2014.01.007
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Towards a framework for energy-aware information systems in manufacturing

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Cited by 46 publications
(22 citation statements)
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“…A BDA model was presented by Shin et al (2014) to predict the sustainability performance, especially for power consumption of the metal cutting SM system. Furthermore, focused on the environmental concerns and the energy efficiency of modern industrial sector, a framework of energy monitoring and energy-aware analytics information system based on BDA was designed and tested (Zampou et al, 2014). To fully utilize the big data from production and energy management database to achieve a higher level of sustainability, manufacturers need methodologies for analyzing, evaluating, and optimizing sustainability performance metrics of manufacturing processes and systems.…”
Section: Big Data Analyticsmentioning
confidence: 99%
“…A BDA model was presented by Shin et al (2014) to predict the sustainability performance, especially for power consumption of the metal cutting SM system. Furthermore, focused on the environmental concerns and the energy efficiency of modern industrial sector, a framework of energy monitoring and energy-aware analytics information system based on BDA was designed and tested (Zampou et al, 2014). To fully utilize the big data from production and energy management database to achieve a higher level of sustainability, manufacturers need methodologies for analyzing, evaluating, and optimizing sustainability performance metrics of manufacturing processes and systems.…”
Section: Big Data Analyticsmentioning
confidence: 99%
“…On the other hand, large ERP vendors are supplementing their existing systems with energy management capabilities (e.g., SAP Industrial Energy Management, Microsoft Dynamics AX/NAV). These solutions now cover meter management along with energy data monitoring, analysis, and reporting (Zampou et al, 2014). In this regard, Chofreh et al (2014) believe that the ERP system will become central in solving the integration issues.…”
Section: Integrating Energy Data Into It Systemsmentioning
confidence: 96%
“…An energy-awareness system in manufacturing must encompass two broad categories: (a) energy monitoring and (b) energy awareness analytics, which must be both integrated in a high-level architecture (Zampou et al 2014). This type of systems should collect and analyse energy data sets, contributing to an energy efficient manufacturing process by integrating energy data with operational data.…”
Section: Motivationmentioning
confidence: 99%