2011
DOI: 10.1016/j.jclepro.2010.11.011
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Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature

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Cited by 638 publications
(436 citation statements)
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“…Hence, energy efficiency technologies contribute various ways to sustained competitive advantage. Accordingly, our review supports the argument by Bunse et al [88], stating that energy efficiency contributes to the "triple bottom line"; attending economic, environmental, and social considerations.…”
Section: Economic Driverssupporting
confidence: 87%
“…Hence, energy efficiency technologies contribute various ways to sustained competitive advantage. Accordingly, our review supports the argument by Bunse et al [88], stating that energy efficiency contributes to the "triple bottom line"; attending economic, environmental, and social considerations.…”
Section: Economic Driverssupporting
confidence: 87%
“…Finally, the indicator system has to be flexible to adapt it to changing environmental conditions or other fields of application (Zwingel, 1997). Bunse et al (2011) describe a number of energy performance measures that were identified by interviewing industry managers as part of the IMS2020 project. These include:…”
Section: Energy Performance Indicatorsmentioning
confidence: 99%
“…The indicators presented in Table 1 are an overview of possible KPIs that have been chosen based on both the results of interviews with industry managers carried out by Bunse et al (2011) as part of the IMS2020 project and discussions with industry partners with whom the authors are currently working.…”
Section: Energy Performance Indicatorsmentioning
confidence: 99%
“…For optimizing energy consumption of manufacturing processes, energy consumption awareness should be achieved first [9]. Monitoring and analysis of the energy consumption of machines are major steps towards increasing energy efficiency [10]. Some conventional production systems are not able to collect data on the amount of energy consumed in production processes [11].…”
Section: Energy Management and Monitoringmentioning
confidence: 99%