{"year":"2013","conference":{"start_date":"2013-10-06","end_date":"2013-10-09"},"language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-3-319020-53-2"]},"_id":"28521","date_updated":"2022-01-06T06:58:08Z","status":"public","author":[{"first_name":"Marcus ","full_name":"Petersen, Marcus ","last_name":"Petersen"},{"first_name":"Vinzent ","last_name":"Rudtsch","full_name":"Rudtsch, Vinzent "},{"first_name":"J{\\\"u}rgen","last_name":"Gausemeier","full_name":"Gausemeier, J{\\\"u}rgen"}],"publication_status":"published","date_created":"2021-12-09T05:59:00Z","title":"Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components","type":"conference","page":"377-382","user_id":"71124","citation":{"short":"M. Petersen, V. Rudtsch, J. Gausemeier, (2013) 377–382.","bibtex":"@article{Petersen_Rudtsch_Gausemeier_2013, series={International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV)}, title={Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components}, publisher={Springer Cham Heidelberg New York Dordrecht London}, author={Petersen, Marcus  and Rudtsch, Vinzent  and Gausemeier, J{\\\"u}rgen}, editor={Z{\\\"a}h, Michael}, year={2013}, pages={377–382}, collection={International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV)} }","ama":"Petersen M, Rudtsch V, Gausemeier J. Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components. Z{\\\"a}h M, ed. Published online 2013:377-382.","chicago":"Petersen, Marcus , Vinzent  Rudtsch, and J{\\\"u}rgen Gausemeier. “Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components.” Edited by Michael Z{\\\"a}h. International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV). Springer Cham Heidelberg New York Dordrecht London, 2013.","mla":"Petersen, Marcus, et al. <i>Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components</i>. Edited by Michael Z{\\\"a}h, Springer Cham Heidelberg New York Dordrecht London, 2013, pp. 377–82.","ieee":"M. Petersen, V. Rudtsch, and J. Gausemeier, “Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components.” Springer Cham Heidelberg New York Dordrecht London, pp. 377–382, 2013.","apa":"Petersen, M., Rudtsch, V., &#38; Gausemeier, J. (2013). <i>Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components</i> (M. Z{\\\"a}h, Ed.; pp. 377–382). Springer Cham Heidelberg New York Dordrecht London."},"publisher":"Springer Cham Heidelberg New York Dordrecht London","department":[{"_id":"676"}],"series_title":"International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV)","abstract":[{"lang":"eng","text":"In this contribution a methodology for a multi-criteria decision-support for manufacturing process chain selection in the context of functionally graded components is presented. The basis for this decision-support is provided by a framework for the computer-aided planning and optimisation of manufacturing process chains of functionally graded components, which is still under development. To distinguish between several alternative process chains it is necessary to consider those decision criteria that can not explicitly be specified within the CAD model. A matrix-supported algorithm guarantees a consistent weighting of these decision criteria while enabling a fine-granular rating scale. As a result, a ranking of the different process chains is achieved that constitutes the basis for the decision maker to select the favourite alternative.\r\n"}],"editor":[{"full_name":"Z{\\\"a}h, Michael","last_name":"Z{\\\"a}h","first_name":"Michael"}]}