Predicting the effects of congestion on labour productivity in construction projects using agent-based modelling

Dabirian, Shahin; Moussazadeh, Mehdi; Khanzadi, Mostafa; Abbaspour, Soroush

doi:10.1080/15623599.2021.1901330

Cited by 11 publications

(4 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The analysis of tools, techniques, and methods reveals trends in the study of labor productivity in construction, as observed in Fig 10 . In the 2000s, statistical techniques such as correlation analysis [41] and logistic regression [53] [54] were employed, representing 11.18% and 6.21% of studies [55] [56]. Since 2010, advanced models such as Agent-Based Modeling (ABM) (1.86%) [57] [58] [46], System Dynamics (SD) (4.35%) […”

Section: Tools and Techniques (Analysis)mentioning

confidence: 99%

“…[11] [52] [108][47] [38] [46] [66], encompassing the use of both clay bricks and sand-cement blocks, stands out as the most significant activity, representing 20.75% of the total. Next, works related to concrete[44] [43] [57] [32] [61] [112] [35] [38], and formwork installation emerge as crucial elements [80] [63] [101] [65] [50], contributing 16.98% and 13.21%, respectively.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Factors affecting labor productivity in the global construction industry: a critical review, classification and ranking

Ardila,

Durán Padra,

Vides Martinez

et al. 2024

Sci. tech

View full text Add to dashboard Cite

The construction industry plays a fundamental role in economic development and job creation, but it faces challenges of labor productivity that have been exacerbated due to the recent COVID-19 pandemic. Labor productivity is a critical component of success, as it influences the duration, costs, and efficiency ofprojects. Understanding the nature of factors affecting labor productivity is essential to finding solutions. This study examined the literature to identify key factors influencing labor productivity, departing from conventional analytical approaches. Through mixed-methods analysis, qualitative approaches of systematic reviews identified influential factors based on 97 documents.Subsequently, they were classified using a combination of statistical analysis and hierarchical clustering methods that encompassed both internal and external factors. The Importance Value Index allowed for the classification of the 30 most critical factors, analyzing three possible ranking scenarios. The study found that the interest in researching the topic remains relevant and has evolved over time. In recent years, greater attention has been paid to labor, management, work environment, and technical aspects. The results indicate that internal project factors, such as scheduling, planning, technical considerations, and resourcemanagement, are more predictable and controllable than external factors. Effective resource management and a comprehensive approach are essential for optimizing construction productivity. Project-level factors, as well as materials, tools, and equipment, play an important role. By synthesizing existing knowledge and identifying and classifying key productivity factors, this study offers valuable insights to construction professionals, policymakers, and researchers seeking to improve labor productivity and optimize project outcomes.

show abstract

Section: Tools and Techniques (Analysis)mentioning

confidence: 99%

mentioning

confidence: 99%

Factors affecting labor productivity in the global construction industry: a critical review, classification and ranking

Ardila,

Durán Padra,

Vides Martinez

et al. 2024

Sci. tech

View full text Add to dashboard Cite

show abstract

“…Hanna, 2001, dalam [3], mengidentifikasi bahwa biaya tenaga kerja pada proyek konstruksi berkisar 33 -50% dari total anggaran. Oleh sebab itu, tingkat produktivitas tenaga kerja yang terdefinisi secara akurat berperan vital dalam kesuksesan sebuah proyek [4].…”

Section: Pendahuluanunclassified

Pengukuran Produktivitas Tenaga Kerja Pemasangan Plafon U-Baffle menggunakan Metode Time Study dan Productivity Rating

Sasmita,

Fiara,

Utama

et al. 2023

JIK

View full text Add to dashboard Cite

This study aims to determine the productivity values and Labor Utilization Rate (LUR) of labor in the U-Baffle ceiling installation work. The research sample covers an area of 505 m2. Data normality is controlled using the Upper Control Limit (UCL) and Lower Control Limit (LCL). The results indicate that the productivity value for the installation of the hanging rod is 107.38 m2/day, stringer 138.21 m2/day, hollow (2.5 m) 125.41 m2/day, hollow (4m) 97.08 m2/day, and U-Baffle panel 525.71 m2/day. The coefficient values for craftsmen and workers for frame installation are 0.0268 OH, and for ceiling cover installation are 0.019 OH. The LUR values for craftsmen in the morning and afternoon are 38.48% and 39.2%, respectively. Meanwhile, the LUR values for workers are 42.98% in the morning and 47.11% in the afternoon. From these results, it is concluded that the labor force is not working efficiently, and there is still room for performance improvement, as indicated by LUR values being less than 50%.

show abstract

“…C w B |=ypLt QO =DU}= CQwY x@ 5 w 4 |=yC}r=ai 'OW u=}@ xm Qw]u=ty '2 pmW j@=]t "Ov=xOW |R=UpOt xDUUo O=O}wQ |R=Ux}@W VwQ T=U= Q@ w s=Hv= |=ypLt x@ Kr=Yt p=kDv= =@ w R=e; xk@] QO A Kr=Yt Q=@v= pLt R= O}rwD Ov}=Qi "CU= xOW |Q}o}B hQYt \UwD '|v}JQ=w}O w |}=v@ Cqt O}rwD |=yC}r=ai R=}vOQwt Kr=Yt 'Qw_vt u}O@ pLt x@ Kr=Yt p=kDv= =@ "Ov=xDi=} p=kDv= C w B |=ypLt x@ A pLt R= u= QoQ=m |v}JQ=w}O w |}=v@ Cqt O}rwD C}r=ai "OvDiQo Q= Qk hQYt hY QO =yu; 'Q_vOQwt x@ \w@Qt 'pw= VN@ "OwW|t xOy=Wt 'CU= |rY= VN@ wO pt=W xm Q=m Ov}=Qi "CU= |a=tDH= |wQ}v |R=UpOt pt=W 'swO VN@ w xDUUo O=O}wQ |R=Ux}@W "CU= C}r=ai Qy C}y=t T=U= Q@ 'xOW Qm P VwQ wO x@ |R=UpOt |Ov@s}UkD x@ 'OvDU}v x=oQ=m QO OOQD OvtR=}v w OvwW|t s=Hv= =DU}= CQwYx@ xm |}=yC}r=ai x=oQ=m QO OOQD w Q=@ |}=Hx@=H =@ xm |}=yC}r=ai w xDUUo O=O}wQ |R=Ux}@W VwQ 'u}= Q@=v@ "OvwW|t |R=Ux}@W |a=tDH= |wQ}v |R=UpOt VwQ x@ 'OvwW|t s=Hv= R= l} Qy `wv '|OQwt |xar=]t l} u=wva x@ |v}JQ=w}O OvwQ uDiQo Q_vQO =@ =@ |rOt ? }DQD u}O@ "CU= xOW XNWt xOW xQ=W= Ov}=Qi x@ \w@Qt |=yC}r=ai xDUUo O=O}wQ |R=Ux}@W R= [42] 'Ov=xOW RmQtDt C}r=ai l} |wQ Q@ |O=yvW}B |=yVwQ "CU= xOW RmQtD xSwQB l} QO |v}JQ=w}O C}r=ai Q@ CL=Ut =@ w xk@] 8 QO |vwmUt OQmrta =@ u=tDN=U l} '?NDvt |xSwQB Q=DWwv VywSB VwQ |xaUwD |xWkv '1 pmW j@=]t "CU= xOw@ `@ QtQDt 1565…”

mentioning

confidence: 99%

توسعه روشی ترکیبی از مدلسازی نیروی اجتماعی و شبیه سازی رویداد گسسته برای بهینه‌سازی راندمان تولید در ساخت و ساز

راد¹,

مغربی²

2023

مهندسی عمران

View full text Add to dashboard Cite

show abstract

Predicting the effects of congestion on labour productivity in construction projects using agent-based modelling

Cited by 11 publications

References 37 publications

Factors affecting labor productivity in the global construction industry: a critical review, classification and ranking

Factors affecting labor productivity in the global construction industry: a critical review, classification and ranking

Pengukuran Produktivitas Tenaga Kerja Pemasangan Plafon U-Baffle menggunakan Metode Time Study dan Productivity Rating

توسعه روشی ترکیبی از مدلسازی نیروی اجتماعی و شبیه سازی رویداد گسسته برای بهینه‌سازی راندمان تولید در ساخت و ساز

Contact Info

Product

Resources

About