FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901889744> ?p ?o ?g. }

• W2901889744 endingPage "240" @default.
• W2901889744 startingPage "229" @default.
• W2901889744 abstract "Abstract When shortening a project's duration, activity crashing, fast-tracking and substitution are the three most commonly employed compression techniques. Crashing generally involves allocating extra resources to an activity with the intention of reducing its duration. To date, the activity time-cost relationship has for the most part been assumed to be linear, however, a few studies have suggested that this is not necessarily the case in practice. This paper proposes two non-linear theoretical models which assume either collaborative or non-collaborative resources. These models closely depict the two most common situations occurring during construction projects. The advantages of these models are that they allow for both discrete and continuous, as well as deterministic and stochastic configurations. Additionally, the quantity of resources required for crashing the activity can be quantified. Comparisons between the models and another recent fast-tracking model from the literature are discussed, and a Genetic Algorithm is implemented for a fictitious application example involving both compression techniques." @default.
• W2901889744 created "2018-11-29" @default.
• W2901889744 creator A5000239609 @default.
• W2901889744 creator A5001947253 @default.
• W2901889744 creator A5021683545 @default.
• W2901889744 date "2019-01-01" @default.
• W2901889744 modified "2023-10-05" @default.
• W2901889744 title "Non-linear time-cost trade-off models of activity crashing: Application to construction scheduling and project compression with fast-tracking" @default.
• W2901889744 cites W1270902396 @default.
• W2901889744 cites W1547531994 @default.
• W2901889744 cites W190047209 @default.
• W2901889744 cites W1967206557 @default.
• W2901889744 cites W1967229738 @default.
• W2901889744 cites W1967335126 @default.
• W2901889744 cites W1969335976 @default.
• W2901889744 cites W1969585181 @default.
• W2901889744 cites W1979295071 @default.
• W2901889744 cites W1982177929 @default.
• W2901889744 cites W1983000098 @default.
• W2901889744 cites W1987091081 @default.
• W2901889744 cites W1996903399 @default.
• W2901889744 cites W2011737037 @default.
• W2901889744 cites W2020669375 @default.
• W2901889744 cites W2023064437 @default.
• W2901889744 cites W2039440302 @default.
• W2901889744 cites W2043833709 @default.
• W2901889744 cites W2044828967 @default.
• W2901889744 cites W2051593070 @default.
• W2901889744 cites W2052423850 @default.
• W2901889744 cites W2063360887 @default.
• W2901889744 cites W2064614286 @default.
• W2901889744 cites W2079018955 @default.
• W2901889744 cites W2083885173 @default.
• W2901889744 cites W2088944929 @default.
• W2901889744 cites W2093073955 @default.
• W2901889744 cites W2097191549 @default.
• W2901889744 cites W2097369068 @default.
• W2901889744 cites W2112126133 @default.
• W2901889744 cites W2116265629 @default.
• W2901889744 cites W2131926104 @default.
• W2901889744 cites W2147880341 @default.
• W2901889744 cites W2152430596 @default.
• W2901889744 cites W2155467293 @default.
• W2901889744 cites W2164731276 @default.
• W2901889744 cites W2228922580 @default.
• W2901889744 cites W2290287050 @default.
• W2901889744 cites W2316056605 @default.
• W2901889744 cites W2412833024 @default.
• W2901889744 cites W2498375922 @default.
• W2901889744 cites W2511583611 @default.
• W2901889744 cites W2609660384 @default.
• W2901889744 cites W2753704693 @default.
• W2901889744 cites W2754792461 @default.
• W2901889744 cites W4244673249 @default.
• W2901889744 cites W984514834 @default.
• W2901889744 doi "https://doi.org/10.1016/j.autcon.2018.11.001" @default.
• W2901889744 hasPublicationYear "2019" @default.
• W2901889744 type Work @default.
• W2901889744 sameAs 2901889744 @default.
• W2901889744 citedByCount "52" @default.
• W2901889744 countsByYear W29018897442019 @default.
• W2901889744 countsByYear W29018897442020 @default.
• W2901889744 countsByYear W29018897442021 @default.
• W2901889744 countsByYear W29018897442022 @default.
• W2901889744 countsByYear W29018897442023 @default.
• W2901889744 crossrefType "journal-article" @default.
• W2901889744 hasAuthorship W2901889744A5000239609 @default.
• W2901889744 hasAuthorship W2901889744A5001947253 @default.
• W2901889744 hasAuthorship W2901889744A5021683545 @default.
• W2901889744 hasBestOaLocation W29018897442 @default.
• W2901889744 hasConcept C127413603 @default.
• W2901889744 hasConcept C13736549 @default.
• W2901889744 hasConcept C15744967 @default.
• W2901889744 hasConcept C19417346 @default.
• W2901889744 hasConcept C206729178 @default.
• W2901889744 hasConcept C21547014 @default.
• W2901889744 hasConcept C2775936607 @default.
• W2901889744 hasConcept C41008148 @default.
• W2901889744 hasConcept C42475967 @default.
• W2901889744 hasConcept C79403827 @default.
• W2901889744 hasConceptScore W2901889744C127413603 @default.
• W2901889744 hasConceptScore W2901889744C13736549 @default.
• W2901889744 hasConceptScore W2901889744C15744967 @default.
• W2901889744 hasConceptScore W2901889744C19417346 @default.
• W2901889744 hasConceptScore W2901889744C206729178 @default.
• W2901889744 hasConceptScore W2901889744C21547014 @default.
• W2901889744 hasConceptScore W2901889744C2775936607 @default.
• W2901889744 hasConceptScore W2901889744C41008148 @default.
• W2901889744 hasConceptScore W2901889744C42475967 @default.
• W2901889744 hasConceptScore W2901889744C79403827 @default.
• W2901889744 hasLocation W29018897441 @default.
• W2901889744 hasLocation W29018897442 @default.
• W2901889744 hasLocation W29018897443 @default.
• W2901889744 hasOpenAccess W2901889744 @default.
• W2901889744 hasPrimaryLocation W29018897441 @default.
• W2901889744 hasRelatedWork W1980228679 @default.
• W2901889744 hasRelatedWork W1980604914 @default.
• W2901889744 hasRelatedWork W1981319641 @default.

• next