2015
DOI: 10.1007/s00170-014-6711-9
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A decision-guidance framework for sustainability performance analysis of manufacturing processes

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Cited by 37 publications
(27 citation statements)
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“…Verification is often defined as ensuring that 'the model is correct and matches any agreed-upon specifications and assumptions', whereas validation is often defined as ensuring that 'the model represents the real system to a sufficient level of accuracy' (Carson, 2002). Of the reviewed studies, two (Andersson, 2013;Kim, Shin, Shao, & Brodsky, 2015) acknowledge the importance of verification in simulation-based LCA, but do not provide any practical guidance. One study notes that the simulation-based LCA model can be verified by reviewing the critical processes in real manufacturing activity (Lindskog et al, 2011).…”
Section: Verification and Validationmentioning
confidence: 99%
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“…Verification is often defined as ensuring that 'the model is correct and matches any agreed-upon specifications and assumptions', whereas validation is often defined as ensuring that 'the model represents the real system to a sufficient level of accuracy' (Carson, 2002). Of the reviewed studies, two (Andersson, 2013;Kim, Shin, Shao, & Brodsky, 2015) acknowledge the importance of verification in simulation-based LCA, but do not provide any practical guidance. One study notes that the simulation-based LCA model can be verified by reviewing the critical processes in real manufacturing activity (Lindskog et al, 2011).…”
Section: Verification and Validationmentioning
confidence: 99%
“…the production part) against historical production data (Lindskog et al, 2011;Löfgren & Tillman, 2011;A. Sproedt et al, 2015;Zhang et al, 2013) and one study uses a mathematical approach to validation (Kim et al, 2015). When it comes to LCA model validation, two main approaches are applied: validating against the results of traditional LCA (Andersson, et al, 2011;Lindskog et al, 2011) or against historical production data (Löfgren & Tillman, 2011;A.…”
Section: Verification and Validationmentioning
confidence: 99%
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“…This work also contributes towards optimization of environment and economic indicators such as cost per component and energy consumption by using different optimization techniques. Kim et al [6] proposed a decision-guidance structure to improve sustainability in manufacturing. This framework mainly consist six different phases: goal and scope definition, collection of data, generate model, sustainability process analysis, implementation and decision making.…”
Section: Related Workmentioning
confidence: 99%