Construction Team Downtime Minimization Model Including Efficiency Coefficients

Michał Krzemiński

Abstract

The article presents a newly developed model for minimizing construction team downtime. The model is designed specifically for flow shop construction scheduling, where schedules are created with the assumption that the work will be organized in accordance with the Linear Scheduling Method (LSM). Such schedules are utilized in the construction industry in cases of structures that can or should be subdivided and it is expected that the subsequent work processes carried out on the subdivisions will be organized in accordance with the technological assumptions. The algorithm has been developed based on the presupposition that the teams whose task will be to assist the ones generating the most significant downtime will differ in their efficiency. The article presents a precise description of the mathematical algorithm. The model is based on an iterative algorithm. The functioning of the algorithm is also presented on an example of 5 consecutive teams working on 5 subdivisions. The results yielded by the utilization of the algorithm proved satisfactory. There was a slight, about 16%, reduction in the duration, while worker downtime has been reduced significantly, by 42%.
Author Michał Krzemiński IIB
Michał Krzemiński,,
- The Institute of Civil Engineering
Journal seriesProcedia Engineering, ISSN 1877-7058
Issue year2016
Vol161
Pages18-22
Publication size in sheets0.5
ConferenceWorld Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium (WMCAUS), 13-06-2016 - 17-06-2016, Prague, Czechy
Keywords in Polishmatematyczne algorytmy
Keywords in Englishflowshop model; minimum slack; scheduling; construction scheduling
DOIDOI:10.1016/j.proeng.2016.08.491
URL http://dx.doi.org/10.1016/j.proeng.2016.08.491
Languageen angielski
File
M.K.16.pdf 154.81 KB
Score (nominal)15
ScoreMinisterial score [Punktacja MNiSW] = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
Ministerial score (2013-2016) [Punktacja MNiSW (2013-2016)] = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
Citation count*1 (2018-06-15)
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