Statistical methods applied to construction process management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F20%3A10243356" target="_blank" >RIV/61989100:27120/20:10243356 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.springer.com/journal/42107" target="_blank" >https://www.springer.com/journal/42107</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s42107-020-00221-7" target="_blank" >10.1007/s42107-020-00221-7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical methods applied to construction process management

Popis výsledku v původním jazyce

The goal of production management in construction processes is to increase competitive ability by reducing construction costs. By monitoring labour productivity using statistical methods, we can reduce real labour costs and administrative and production overheads by meeting or minimizing the construction schedule. The CONTEC automated system for preparing and managing construction processes combined with statistical methods assists in predicting the amount of time required to complete construction works according to the specified number of deployed work crews, technological processes and labour required for certain production in person-hours. These are expressed with the aid of statistical terminology, mean values and standard deviations. From these statistical analyses, the measures for complying with the construction schedule can then be determined, both in terms of establishing the required number of personnel and in determining and applying the changes to the technological design of the building structures. This can then assist in accelerating the progress of construction. This study statistically analyses the categories of work where labour comprises the largest proportion of costs, the greatest demand being on the total number of personnel required to complete the work critical to the progress of construction and according to its schedule.

Název v anglickém jazyce

Statistical methods applied to construction process management

Popis výsledku anglicky

The goal of production management in construction processes is to increase competitive ability by reducing construction costs. By monitoring labour productivity using statistical methods, we can reduce real labour costs and administrative and production overheads by meeting or minimizing the construction schedule. The CONTEC automated system for preparing and managing construction processes combined with statistical methods assists in predicting the amount of time required to complete construction works according to the specified number of deployed work crews, technological processes and labour required for certain production in person-hours. These are expressed with the aid of statistical terminology, mean values and standard deviations. From these statistical analyses, the measures for complying with the construction schedule can then be determined, both in terms of establishing the required number of personnel and in determining and applying the changes to the technological design of the building structures. This can then assist in accelerating the progress of construction. This study statistically analyses the categories of work where labour comprises the largest proportion of costs, the greatest demand being on the total number of personnel required to complete the work critical to the progress of construction and according to its schedule.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Asian Journal of Civil Engineering

ISSN

1563-0854

e-ISSN

—

Svazek periodika

21

Číslo periodika v rámci svazku

03.2020

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

15

Strana od-do

479-494

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85079557041