6533b851fe1ef96bd12a8f5e

RESEARCH PRODUCT

Tuning Decision Support Toolsfor Environmentally Friendly Manufacturing Approach Selection

Rosa Di LorenzoPaolo Claudio PriaroneYelin DengGiuseppe Ingarao

subject

EngineeringDecision support systemPrimary energybusiness.industryLCA050901 criminology05 social sciencesSustainable ManufacturingDecision Support ToolEnvironmentally friendlyManufacturing engineeringField (computer science)HangSustainable Manufacturing Manufacturing Approach Selection LCA Decision Support ToolMachiningSustainable manufacturing Manufacturing approach comparison LCA Decision support tool0501 psychology and cognitive sciencesMetric (unit)0509 other social sciencesManufacturing Approach SelectionbusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSelection (genetic algorithm)050104 developmental & child psychology

description

Awareness about the environmental performance of manufacturing approaches has arisen. Comparative analyses of different manufacturing approaches as well as decision support methods should be developed in the field of metal shaping processes. The present paper aims at tuning a decision support tool for identifying when mass conserving approaches (forming based) are actually preferable over machining processes for manufacturing aluminum based components. A full LCA is developed for comparing the environmental performance of forming and machining approaches as the batch size and geometry complexity hang. The impact of the used metric on the comparative results is analyzed. Results reveal that primary energy can be used as reliable metric for identifying environmentally friendly manufacturing processes.

yearjournalcountryeditionlanguage
2017-01-01
10.1007/978-3-319-57078-5_61http://hdl.handle.net/10447/226375