Delay Analysis: A Comparison of Schedules without Phantom Float in Commercial Scheduling Software
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Delay analysis is an essential tool to support construction delay claims. Therefore, when performing time impact analysis (TIA) resource constraints should be considered since these may affect the project completion time. Previous studies have shown that resource-constrained scheduling (RCS) techniques neglect the resource activity relationships creating phantom float in the schedules—a float that does not really exist. At present, the available scheduling software in the construction industry do not remove phantom float from the schedules when RCS is performed. Hence, when users utilize the RCS schedules to perform a delay analysis, the decisions are made on unreliable schedules. This study shows how to perform TIA using resource-constrained schedules without phantom float. These schedules were developed based on the serial method (incorporated in P6) and the parallel method (incorporated in MS Project). According to the results, different outcomes can be obtained for the same delay claim scenario if the initial resource relationships between activities are not removed before re-scheduling the project or if different methods are used to mitigate the resource supply demand problem. Under both circumstances, the activities sequence changes, and so the resource relationships and the critical path.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Delay Analysis: A Comparison of Schedules without Phantom Float in Commercial Scheduling Software
- Date Crossref
- 29/03/2018
- Éditeur
- American Society of Civil Engineers
- Type
- proceedings-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Virginia Tech pays non établi dans la noticeUniversité ou école supérieure
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Ph.D. Student pays non établi dans la noticeInstitution
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Vecellio Professor pays non établi dans la noticeInstitution
Virginia Tech, Ph.D. Student et Vecellio Professor.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.