{"id":{"repo_id":"aachen","oai_identifier":"oai:publications.rwth-aachen.de:58940"},"canonical_url":"https://search.dev.ndltd.org/etd/aachen/oai:publications.rwth-aachen.de:58940","repository":{"repo_id":"aachen","name":"RWTH Aachen University","base_url":"https://publications.rwth-aachen.de/oai2d"},"display":{"title":"Benchmarking von Entwicklungsbereichen im Maschinenbau","abstract":"As an essential source of new products and with a large leverage on product and production costs, R&D-areas have substantial influence on enterprise success. However, in industrial practice there is a lack of closed and practicable instruments to align and improve this important enterprise area strategically. Although, meanwhile Benchmarking is established in many enterprise areas, until now Benchmarking is used in R&D-areas very cautiously. Therefore, a Benchmarking methodology was developed which fundamentally consists of four modules: comparability assessment module, success assessment module, variable model and evaluation module. The comparability assessment module underlies a catalogue with 17 enterprise-, product-, customer- and competitor-describing characteristic criteria. The catalogue encloses characteristic criteria which are not or not within short time influenceable by R&D-areas (exogenous criteria). The criteria are evaluated about individual comparisons, weighted and overlaid to a comparability key figure which serves for the choice of suitable Benchmarking-partners. The working thesis for the development of the success assessment module was, that success (failure) of R&D-areas arises in essence from the (not) fulfilment of relevant stakeholder groups demands. Hence, nine stakeholder groups of R&D-areas were identified (among others customer, management, R&D-area itself), their position to each other examined and a method to identify, weight and quantify the demands and their degree of fulfilment. The variable model forms the core of the Benchmarking methodology. It encloses at the highest level seven main variable groups (strategy, project management, organization etc.) which were subdivided in each case into main aspects and partial aspects. All aspects represent endogenous criteria, i.e. criteria to be affected by the R&D-area directly. The aspects of the lowest level of the variable model were operationalized by altogether 228 key figures, which have been arranged to a key figure system. The evaluation of the Benchmarking-data takes place in two different ways. On the one hand strengths and weaknesses can be identified by enterprise-specific comparison of the individual key figures with the successful and less successful Benchmarking-partners. On the other hand, general success factors or successful pattern can be derived by analysing all Benchmarking-data statistically. With the developed Benchmarking methodology an instrument is provided with which R&D-areas can be assessed integrated, benchmarked with other enterprises and precisely improved.","abstract_html":"As an essential source of new products and with a large leverage on product and production costs, R&D-areas have substantial influence on enterprise success. However, in industrial practice there is a lack of closed and practicable instruments to align and improve this important enterprise area strategically. Although, meanwhile Benchmarking is established in many enterprise areas, until now Benchmarking is used in R&D-areas very cautiously. Therefore, a Benchmarking methodology was developed which fundamentally consists of four modules: comparability assessment module, success assessment module, variable model and evaluation module. The comparability assessment module underlies a catalogue with 17 enterprise-, product-, customer- and competitor-describing characteristic criteria. The catalogue encloses characteristic criteria which are not or not within short time influenceable by R&D-areas (exogenous criteria). The criteria are evaluated about individual comparisons, weighted and overlaid to a comparability key figure which serves for the choice of suitable Benchmarking-partners. The working thesis for the development of the success assessment module was, that success (failure) of R&D-areas arises in essence from the (not) fulfilment of relevant stakeholder groups demands. Hence, nine stakeholder groups of R&D-areas were identified (among others customer, management, R&D-area itself), their position to each other examined and a method to identify, weight and quantify the demands and their degree of fulfilment. The variable model forms the core of the Benchmarking methodology. It encloses at the highest level seven main variable groups (strategy, project management, organization etc.) which were subdivided in each case into main aspects and partial aspects. All aspects represent endogenous criteria, i.e. criteria to be affected by the R&D-area directly. The aspects of the lowest level of the variable model were operationalized by altogether 228 key figures, which have been arranged to a key figure system. The evaluation of the Benchmarking-data takes place in two different ways. On the one hand strengths and weaknesses can be identified by enterprise-specific comparison of the individual key figures with the successful and less successful Benchmarking-partners. On the other hand, general success factors or successful pattern can be derived by analysing all Benchmarking-data statistically. With the developed Benchmarking methodology an instrument is provided with which R&D-areas can be assessed integrated, benchmarked with other enterprises and precisely improved.","abstract_has_math":false,"creators":["Schröder, Jens"],"institution":"Publikationsserver der RWTH Aachen University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Eversheim, Walter"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2003,"date_issued":"2003","date_published":"2003","updated_at":"2026-07-30T19:42:31Z","subjects":["info:eu-repo/classification/ddc/670","Maschinenbauindustrie","Forschung und Entwicklung","Benchmarking","Industrielle Fertigung","Entwicklung","Kennzahlen"],"languages":["ger"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120766%22"],"render_values":[{"text":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120766%22","href":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120766%22","code":true}]}]},"links":{"outbound_url":"https://publications.rwth-aachen.de/record/58940","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Eversheim, Walter"]},{"key":"dc:creator","label":"Author","values":["Schröder, Jens"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:coverage","label":"Dc Coverage","values":["DE"]},{"key":"dc:date","label":"Dc Date","values":["2003"]},{"key":"dc:publisher","label":"Institution","values":["Publikationsserver der RWTH Aachen University"]},{"key":"dc:relation","label":"Dc Relation","values":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-7111"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["info:eu-repo/classification/ddc/670","Maschinenbauindustrie","Forschung und Entwicklung","Benchmarking","Industrielle Fertigung","Entwicklung","Kennzahlen"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["ger"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/record/58940","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120766%22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["As an essential source of new products and with a large leverage on product and production costs, R&D-areas have substantial influence on enterprise success. However, in industrial practice there is a lack of closed and practicable instruments to align and improve this important enterprise area strategically. Although, meanwhile Benchmarking is established in many enterprise areas, until now Benchmarking is used in R&D-areas very cautiously. Therefore, a Benchmarking methodology was developed which fundamentally consists of four modules: comparability assessment module, success assessment module, variable model and evaluation module. The comparability assessment module underlies a catalogue with 17 enterprise-, product-, customer- and competitor-describing characteristic criteria. The catalogue encloses characteristic criteria which are not or not within short time influenceable by R&D-areas (exogenous criteria). The criteria are evaluated about individual comparisons, weighted and overlaid to a comparability key figure which serves for the choice of suitable Benchmarking-partners. The working thesis for the development of the success assessment module was, that success (failure) of R&D-areas arises in essence from the (not) fulfilment of relevant stakeholder groups demands. Hence, nine stakeholder groups of R&D-areas were identified (among others customer, management, R&D-area itself), their position to each other examined and a method to identify, weight and quantify the demands and their degree of fulfilment. The variable model forms the core of the Benchmarking methodology. It encloses at the highest level seven main variable groups (strategy, project management, organization etc.) which were subdivided in each case into main aspects and partial aspects. All aspects represent endogenous criteria, i.e. criteria to be affected by the R&D-area directly. The aspects of the lowest level of the variable model were operationalized by altogether 228 key figures, which have been arranged to a key figure system. The evaluation of the Benchmarking-data takes place in two different ways. On the one hand strengths and weaknesses can be identified by enterprise-specific comparison of the individual key figures with the successful and less successful Benchmarking-partners. On the other hand, general success factors or successful pattern can be derived by analysing all Benchmarking-data statistically. With the developed Benchmarking methodology an instrument is provided with which R&D-areas can be assessed integrated, benchmarked with other enterprises and precisely improved."]},{"key":"dc:source","label":"Dc Source","values":["Aachen : Publikationsserver der RWTH Aachen University Getr. Zählung : graph. Darst. (2003). = Aachen, Techn. Hochsch., Diss., 2003"]},{"key":"dc:title","label":"Title","values":["Benchmarking von Entwicklungsbereichen im Maschinenbau"]}]}],"canonical_facts":{"dc:contributor":["Eversheim, Walter"],"dc:coverage":["DE"],"dc:creator":["Schröder, Jens"],"dc:date":["2003"],"dc:description":["As an essential source of new products and with a large leverage on product and production costs, R&D-areas have substantial influence on enterprise success. However, in industrial practice there is a lack of closed and practicable instruments to align and improve this important enterprise area strategically. Although, meanwhile Benchmarking is established in many enterprise areas, until now Benchmarking is used in R&D-areas very cautiously. Therefore, a Benchmarking methodology was developed which fundamentally consists of four modules: comparability assessment module, success assessment module, variable model and evaluation module. The comparability assessment module underlies a catalogue with 17 enterprise-, product-, customer- and competitor-describing characteristic criteria. The catalogue encloses characteristic criteria which are not or not within short time influenceable by R&D-areas (exogenous criteria). The criteria are evaluated about individual comparisons, weighted and overlaid to a comparability key figure which serves for the choice of suitable Benchmarking-partners. The working thesis for the development of the success assessment module was, that success (failure) of R&D-areas arises in essence from the (not) fulfilment of relevant stakeholder groups demands. Hence, nine stakeholder groups of R&D-areas were identified (among others customer, management, R&D-area itself), their position to each other examined and a method to identify, weight and quantify the demands and their degree of fulfilment. The variable model forms the core of the Benchmarking methodology. It encloses at the highest level seven main variable groups (strategy, project management, organization etc.) which were subdivided in each case into main aspects and partial aspects. All aspects represent endogenous criteria, i.e. criteria to be affected by the R&D-area directly. The aspects of the lowest level of the variable model were operationalized by altogether 228 key figures, which have been arranged to a key figure system. The evaluation of the Benchmarking-data takes place in two different ways. On the one hand strengths and weaknesses can be identified by enterprise-specific comparison of the individual key figures with the successful and less successful Benchmarking-partners. On the other hand, general success factors or successful pattern can be derived by analysing all Benchmarking-data statistically. With the developed Benchmarking methodology an instrument is provided with which R&D-areas can be assessed integrated, benchmarked with other enterprises and precisely improved."],"dc:identifier":["https://publications.rwth-aachen.de/record/58940","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120766%22"],"dc:language":["ger"],"dc:publisher":["Publikationsserver der RWTH Aachen University"],"dc:relation":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-7111"],"dc:rights":["info:eu-repo/semantics/openAccess"],"dc:source":["Aachen : Publikationsserver der RWTH Aachen University Getr. Zählung : graph. Darst. (2003). = Aachen, Techn. 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