FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016381645> ?p ?o ?g. }

• W2016381645 endingPage "75" @default.
• W2016381645 startingPage "46" @default.
• W2016381645 abstract "This paper presents a flexible algorithm based on artificial neural networks (ANNs), genetic algorithms (GAs), and multivariate analysis for performance assessment and optimization of complex production units (CPUs) with respect to machinery productivity indicators (MPIs). Multivariate techniques include data envelopment analysis (DEA), principal component analysis (PCA) and numerical taxonomy (NT). Two case studies are considered to show the applicability of the proposed approach. In the first case, the machinery productivity indicators are categorized into four standard classes as availability, machinery stoppage, random failure and value added and production value. In the second case, the productivity of production units in terms of health, safety, environment and ergonomics indicators is evaluated. The flexible algorithm is capable of handling both linearity and complexity of data sets. Moreover, ANN and GA are efficiently applied to cover nonlinearity and complexity of CPUs. The results are also validated and verified by the internal mechanism of the algorithm. The algorithm is applied to a large set of production units to show its superiority and applicability over conventional approaches. Results show that, in the case of having non-linear data sets, ANN outperforms GA and conventional approaches. The flexible algorithm of this study may be easily extended to other units for assessment and optimization of CPUs with respect to machinery indicators." @default.
• W2016381645 created "2016-06-24" @default.
• W2016381645 creator A5009869190 @default.
• W2016381645 creator A5017029449 @default.
• W2016381645 creator A5024383984 @default.
• W2016381645 creator A5066667649 @default.
• W2016381645 creator A5076424886 @default.
• W2016381645 date "2015-04-01" @default.
• W2016381645 modified "2023-10-16" @default.
• W2016381645 title "A flexible ANN-GA-multivariate algorithm for assessment and optimization of machinery productivity in complex production units" @default.
• W2016381645 cites W1964623597 @default.
• W2016381645 cites W1969681270 @default.
• W2016381645 cites W1984090643 @default.
• W2016381645 cites W1987056393 @default.
• W2016381645 cites W1992282017 @default.
• W2016381645 cites W1992844247 @default.
• W2016381645 cites W1993180392 @default.
• W2016381645 cites W1999460698 @default.
• W2016381645 cites W2000306236 @default.
• W2016381645 cites W2002899783 @default.
• W2016381645 cites W2006114471 @default.
• W2016381645 cites W2009413536 @default.
• W2016381645 cites W2010007221 @default.
• W2016381645 cites W2027173513 @default.
• W2016381645 cites W2030554680 @default.
• W2016381645 cites W2035764531 @default.
• W2016381645 cites W2039685918 @default.
• W2016381645 cites W2041598584 @default.
• W2016381645 cites W2042105482 @default.
• W2016381645 cites W2044341274 @default.
• W2016381645 cites W2052229978 @default.
• W2016381645 cites W2053865013 @default.
• W2016381645 cites W2053954930 @default.
• W2016381645 cites W2055408547 @default.
• W2016381645 cites W2057304861 @default.
• W2016381645 cites W2058595220 @default.
• W2016381645 cites W2059795747 @default.
• W2016381645 cites W2060290797 @default.
• W2016381645 cites W2074486339 @default.
• W2016381645 cites W2075160483 @default.
• W2016381645 cites W2076750860 @default.
• W2016381645 cites W2080017599 @default.
• W2016381645 cites W2082981740 @default.
• W2016381645 cites W2084660657 @default.
• W2016381645 cites W2085449523 @default.
• W2016381645 cites W2085751038 @default.
• W2016381645 cites W2093692784 @default.
• W2016381645 cites W2095301394 @default.
• W2016381645 cites W2097529207 @default.
• W2016381645 cites W2102423276 @default.
• W2016381645 cites W2103496339 @default.
• W2016381645 cites W2110250287 @default.
• W2016381645 cites W2121394390 @default.
• W2016381645 cites W2136217720 @default.
• W2016381645 cites W2137983211 @default.
• W2016381645 cites W2145709608 @default.
• W2016381645 cites W2146552111 @default.
• W2016381645 cites W4243386512 @default.
• W2016381645 cites W2142099488 @default.
• W2016381645 doi "https://doi.org/10.1016/j.jmsy.2014.11.007" @default.
• W2016381645 hasPublicationYear "2015" @default.
• W2016381645 type Work @default.
• W2016381645 sameAs 2016381645 @default.
• W2016381645 citedByCount "19" @default.
• W2016381645 countsByYear W20163816452015 @default.
• W2016381645 countsByYear W20163816452016 @default.
• W2016381645 countsByYear W20163816452017 @default.
• W2016381645 countsByYear W20163816452018 @default.
• W2016381645 countsByYear W20163816452019 @default.
• W2016381645 countsByYear W20163816452020 @default.
• W2016381645 countsByYear W20163816452021 @default.
• W2016381645 countsByYear W20163816452022 @default.
• W2016381645 crossrefType "journal-article" @default.
• W2016381645 hasAuthorship W2016381645A5009869190 @default.
• W2016381645 hasAuthorship W2016381645A5017029449 @default.
• W2016381645 hasAuthorship W2016381645A5024383984 @default.
• W2016381645 hasAuthorship W2016381645A5066667649 @default.
• W2016381645 hasAuthorship W2016381645A5076424886 @default.
• W2016381645 hasConcept C11413529 @default.
• W2016381645 hasConcept C119857082 @default.
• W2016381645 hasConcept C121332964 @default.
• W2016381645 hasConcept C124101348 @default.
• W2016381645 hasConcept C126255220 @default.
• W2016381645 hasConcept C127413603 @default.
• W2016381645 hasConcept C139719470 @default.
• W2016381645 hasConcept C154945302 @default.
• W2016381645 hasConcept C158622935 @default.
• W2016381645 hasConcept C161584116 @default.
• W2016381645 hasConcept C162324750 @default.
• W2016381645 hasConcept C204983608 @default.
• W2016381645 hasConcept C22088475 @default.
• W2016381645 hasConcept C27438332 @default.
• W2016381645 hasConcept C2778348673 @default.
• W2016381645 hasConcept C33923547 @default.
• W2016381645 hasConcept C41008148 @default.
• W2016381645 hasConcept C50644808 @default.
• W2016381645 hasConcept C62520636 @default.
• W2016381645 hasConcept C8880873 @default.

• next