2019
DOI: 10.1007/s11367-019-01621-x
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Comparative life cycle assessment of metal arc welding technologies by using engineering design documentation

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Cited by 16 publications
(6 citation statements)
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“…The research [17] addresses the problem of using machine learning methods to provide LCA solutions. The general hypothesis is this: LCA, backed up by machine learning and based on dynamic data, paves the way for a more accurate LCA, supporting decision-making throughout the Favi, C. [18] suggest including TRL and production readiness level (MRL) when evaluating the life cycle of new technologies as an indicator of technology maturity. The research works [19,20] define the problem of the functionality of the observed system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The research [17] addresses the problem of using machine learning methods to provide LCA solutions. The general hypothesis is this: LCA, backed up by machine learning and based on dynamic data, paves the way for a more accurate LCA, supporting decision-making throughout the Favi, C. [18] suggest including TRL and production readiness level (MRL) when evaluating the life cycle of new technologies as an indicator of technology maturity. The research works [19,20] define the problem of the functionality of the observed system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Favi, Campi and Germani [30] offer a comparative life cycle assessment of metal arc welding technologies using engineering design documentation. They do not evaluate the maintenance area but they refer to it as an important variable.…”
Section: State Of the Art On Asset's Life Cycle And Maintenance Policiesmentioning
confidence: 99%
“…Because arc welding is the most spread welding technology in industry, many research works exist dealing with a corresponding life cycle assessment for such processes. In this relation, Favi [ 18 ] compared a wide range of arc welding processes. Based on a functional unit of 1 m of weld seam length, the welding of 25 mm thick plates of mild steel was considered.…”
Section: Introductionmentioning
confidence: 99%