2020
DOI: 10.1016/j.procir.2020.01.114
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Interaction analysis for dynamic sustainability assessment of manufacturing systems

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Cited by 8 publications
(8 citation statements)
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“…The applicability of the developed conceptual method was evaluated by applying it in two manufacturing companies, and Lean Six Sigma experts analyzed potential improvement opportunities. In contrast, in the study presented by Petry et al [29], a systems approach was used to examine four underlying linkages between the pillars of sustainability and quality in the sustainability assessment of manufacturing systems. The authors used a dynamic sustainability assessment as their research's basis and used different cost modeling approaches to assess the quantitative relationships between the factors studied.…”
Section: Reviewed Assessmentsmentioning
confidence: 99%
“…The applicability of the developed conceptual method was evaluated by applying it in two manufacturing companies, and Lean Six Sigma experts analyzed potential improvement opportunities. In contrast, in the study presented by Petry et al [29], a systems approach was used to examine four underlying linkages between the pillars of sustainability and quality in the sustainability assessment of manufacturing systems. The authors used a dynamic sustainability assessment as their research's basis and used different cost modeling approaches to assess the quantitative relationships between the factors studied.…”
Section: Reviewed Assessmentsmentioning
confidence: 99%
“…Dimensions such as the technological, which is beyond those in the triple bottom line (economic, environmental and social) in the SD models, are discussed in the research of Kim et al (2014); Joung et al (2013); and Musango et al (2012). Furthermore, the political dimension is discussed in the research of Bautista et al (2019) and quality and environmental management accounting (EMA) in Petry et al (2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In order to fully understand the complexities and repercussions of any decision related to manufacturing processes, it is essential to take multiple factors into account to generate a more holistic visualization and understanding of the feedbacks of the machining system. Because these key technical, human, and environmental factors have not been fully recognized, the complexity is not yet understood [9,10].…”
Section: Introductionmentioning
confidence: 99%