LEADER 04287nam 22005775 450 001 9910299582003321 005 20200703090302.0 010 $a3-662-56446-7 024 7 $a10.1007/978-3-662-56446-2 035 $a(CKB)4100000001794725 035 $a(DE-He213)978-3-662-56446-2 035 $a(MiAaPQ)EBC5231287 035 $a(PPN)223953377 035 $a(EXLCZ)994100000001794725 100 $a20180120d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPerformance gaps of machines $eA process oriented approach /$fby Wilhelm Nüßer, Thilo Steckel 205 $a1st ed. 2018. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer Vieweg,$d2018. 215 $a1 online resource (XV, 74 p. 24 illus., 12 illus. in color.) 225 1 $aIntelligente Technische Systeme ? Lösungen aus dem Spitzencluster it?s OWL,$x2523-3637 311 $a3-662-56445-9 320 $aIncludes bibliographical references. 327 $aIntroduction -- Concepts and Definitions -- Derivation and validation ot the gap formula -- Applications -- Conclusion. 330 $aIn this publication a widespread phenomenon is studied: in many usage scenarios modern complex machines show a significant difference between the maximum sustainable performance available in well specified environments and the average performance many users experience in their everyday interaction with the machine. This performance gap appears to be increasing with technical progress and performance of machines. Although this situation is probably well known to many readers -- and very often not so quietly endured -- it was not studied systematically so far. This publication describes the conceptual background of the performance gap in a very general way. It develops a semi-quantitative description and points to approaches to reduce the performance gap in current and future environments. Process executives, engineers and system analysts will hopefully benefit from this approach especially in the dynamic environments envisioned in initiatives like the German Industrie 4.0.  In the technology network Intelligent Technical Systems OstWestfalenLippe (short: it?s OWL) around 200 companies, universities, research institutions and organisations have joined forces to jointly shape the innovative leap from mechatronics to intelligent technical systems. Together they develop approaches and technologies for intelligent products and production processes, smart services and the working world of the future. The spectrum ranges from automation and drive solutions to machines, vehicles, automats and household appliances to networked production plants and platforms. This creates a unique technology platform that enables companies to increase the reliability, resource efficiency and user-friendliness of their products and production systems and tap the potential of digital transformation. 410 0$aIntelligente Technische Systeme ? Lösungen aus dem Spitzencluster it?s OWL,$x2523-3637 606 $aIndustrial engineering 606 $aProduction engineering 606 $aComputer software?Reusability 606 $aAgriculture$xEconomic aspects 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 606 $aPerformance and Reliability$3https://scigraph.springernature.com/ontologies/product-market-codes/I12077 606 $aAgricultural Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W47000 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aComputer software?Reusability. 615 0$aAgriculture$xEconomic aspects. 615 14$aIndustrial and Production Engineering. 615 24$aPerformance and Reliability. 615 24$aAgricultural Economics. 676 $a670 700 $aNüßer$b Wilhelm$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064696 702 $aSteckel$b Thilo$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299582003321 996 $aPerformance gaps of machines$92540250 997 $aUNINA