Matches in SemOpenAlex for { <https://semopenalex.org/work/W3128379932> ?p ?o ?g. }
- W3128379932 endingPage "2299" @default.
- W3128379932 startingPage "2281" @default.
- W3128379932 abstract "Abstract Early cost estimation of machined parts is difficult as it requires detailed process information that is not usually available during product design. Parametric methods address this issue by estimating machining time from predictors related to design choices. One of them is complexity, defined as a function of dimensions and tolerances from an analogy with information theory. However, complexity has only a limited correlation with machining time unless restrictive assumptions are made on part types and machining processes. The objective of the paper is to improve the estimation of machining time by combining complexity with additional parameters. For this purpose, it is first shown that three factors that influence machining time (part size, area of machined features, work material) are not fully captured by complexity alone. Then an optimal set of predictors is selected by regression analysis of time estimates made on sample parts using an existing feature-based method. The proposed parametric model is shown to predict machining time with an average percentage error of 25% compared to the baseline method, over a wide range of part geometries and machining processes. Therefore, the model is accurate enough to support comparison of design alternatives as well as bidding and make-or-buy decisions." @default.
- W3128379932 created "2021-02-15" @default.
- W3128379932 creator A5028155892 @default.
- W3128379932 date "2021-02-07" @default.
- W3128379932 modified "2023-09-27" @default.
- W3128379932 title "On the role of complexity in machining time estimation" @default.
- W3128379932 cites W125857362 @default.
- W3128379932 cites W1571999744 @default.
- W3128379932 cites W1591256853 @default.
- W3128379932 cites W1952294081 @default.
- W3128379932 cites W1968818908 @default.
- W3128379932 cites W1970276632 @default.
- W3128379932 cites W1973310985 @default.
- W3128379932 cites W1982379485 @default.
- W3128379932 cites W1995875735 @default.
- W3128379932 cites W1998643486 @default.
- W3128379932 cites W2000250033 @default.
- W3128379932 cites W2003221529 @default.
- W3128379932 cites W2009778441 @default.
- W3128379932 cites W2023440792 @default.
- W3128379932 cites W2025818449 @default.
- W3128379932 cites W2030202064 @default.
- W3128379932 cites W2036076006 @default.
- W3128379932 cites W2040048206 @default.
- W3128379932 cites W2042560435 @default.
- W3128379932 cites W2044333385 @default.
- W3128379932 cites W2045011072 @default.
- W3128379932 cites W2045093428 @default.
- W3128379932 cites W2045444492 @default.
- W3128379932 cites W2049404550 @default.
- W3128379932 cites W2052526398 @default.
- W3128379932 cites W2056230791 @default.
- W3128379932 cites W2057960636 @default.
- W3128379932 cites W2060256576 @default.
- W3128379932 cites W2075355846 @default.
- W3128379932 cites W2078325122 @default.
- W3128379932 cites W2079917578 @default.
- W3128379932 cites W2081098431 @default.
- W3128379932 cites W2086115851 @default.
- W3128379932 cites W2087168709 @default.
- W3128379932 cites W2092974557 @default.
- W3128379932 cites W2097760341 @default.
- W3128379932 cites W2104442994 @default.
- W3128379932 cites W2118378083 @default.
- W3128379932 cites W2133610491 @default.
- W3128379932 cites W2168643483 @default.
- W3128379932 cites W2265875339 @default.
- W3128379932 cites W2332687237 @default.
- W3128379932 cites W2366778135 @default.
- W3128379932 cites W2900500997 @default.
- W3128379932 cites W3012150900 @default.
- W3128379932 cites W36092594 @default.
- W3128379932 cites W4234805750 @default.
- W3128379932 cites W4242538211 @default.
- W3128379932 cites W620411149 @default.
- W3128379932 cites W97731138 @default.
- W3128379932 doi "https://doi.org/10.1007/s10845-021-01741-y" @default.
- W3128379932 hasPublicationYear "2021" @default.
- W3128379932 type Work @default.
- W3128379932 sameAs 3128379932 @default.
- W3128379932 citedByCount "6" @default.
- W3128379932 countsByYear W31283799322021 @default.
- W3128379932 countsByYear W31283799322023 @default.
- W3128379932 crossrefType "journal-article" @default.
- W3128379932 hasAuthorship W3128379932A5028155892 @default.
- W3128379932 hasBestOaLocation W31283799321 @default.
- W3128379932 hasConcept C105795698 @default.
- W3128379932 hasConcept C111919701 @default.
- W3128379932 hasConcept C117251300 @default.
- W3128379932 hasConcept C127413603 @default.
- W3128379932 hasConcept C13736549 @default.
- W3128379932 hasConcept C138885662 @default.
- W3128379932 hasConcept C144133560 @default.
- W3128379932 hasConcept C146978453 @default.
- W3128379932 hasConcept C162853370 @default.
- W3128379932 hasConcept C177264268 @default.
- W3128379932 hasConcept C199360897 @default.
- W3128379932 hasConcept C200601418 @default.
- W3128379932 hasConcept C204323151 @default.
- W3128379932 hasConcept C2776401178 @default.
- W3128379932 hasConcept C33923547 @default.
- W3128379932 hasConcept C41008148 @default.
- W3128379932 hasConcept C41895202 @default.
- W3128379932 hasConcept C523214423 @default.
- W3128379932 hasConcept C78519656 @default.
- W3128379932 hasConcept C9233905 @default.
- W3128379932 hasConcept C98045186 @default.
- W3128379932 hasConceptScore W3128379932C105795698 @default.
- W3128379932 hasConceptScore W3128379932C111919701 @default.
- W3128379932 hasConceptScore W3128379932C117251300 @default.
- W3128379932 hasConceptScore W3128379932C127413603 @default.
- W3128379932 hasConceptScore W3128379932C13736549 @default.
- W3128379932 hasConceptScore W3128379932C138885662 @default.
- W3128379932 hasConceptScore W3128379932C144133560 @default.
- W3128379932 hasConceptScore W3128379932C146978453 @default.
- W3128379932 hasConceptScore W3128379932C162853370 @default.
- W3128379932 hasConceptScore W3128379932C177264268 @default.
- W3128379932 hasConceptScore W3128379932C199360897 @default.