Read full paper at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=47418#.VMijjizQrzE
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=47418#.VMijjizQrzE
ABSTRACT
It
is apparent that heat can hamper timing and productivity of
construction work that occurs outside. There are many types of
construction changes and each type can have an effect on labor and
machinery productivity. But what is the effect of extreme heat &
humidity and dust storm on construction industry can occur either indoor
or outdoor work. Construction materials production data from main four
companies in the Gulf region over five years period were collected. This
study found that the adverse sever summer climate of heat and dust
storms lead to a significant reduction in production. An average of week
with six days during summers of heat exceeding 46C with high humidity
reduces production in the week by 10% on average. A cross the regional
companies, severe weather reduce production on average by 7% and delay
the deliveries date. While it is possible that companies are able to
recover these losses at some later date of summers. Further, even if
recovery does occur at some point at very least these shocks are costly
as they increase the volatility of production. Also this study concludes
useful results for assessing the potential productivity shock associate
with inclement weather as well as guiding managers on where to locate a
new production facility. We recommend developing of empirical model for
Heat Prediction in the region to expect to become more relevant as
climate severity and frequent of severe weather.
Cite this paper
References
Rashid, H. (2014) Microclimatic Factors Effect on Productivity of Construction Industry. Open Journal of Civil Engineering, 4, 173-180. doi: 10.4236/ojce.2014.42015.
| [1] | Ibbs, C.W., Kwak, Y.H., Ng. T and Odabasi, M. (2003) Quantitative Analysis. Journal of Construction Engineering and Management, 129, 382-387. |
| [2] | Tomlin, B. (2006) On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks. Management Science, 52, 639-657. |
| [3] | Gillard, Y. and Tomlin, B. (2010) Mitigating Supply Risk: Dual Sourcing or Process Improvement? Manufacturing & Service Operating Management, 489-510. |
| [4] | Dong, L.G. and Tomlin, B. (2012) Management Disruption Risk: The Interplay between Operations and Insurance. Management Science, 58, 1898-1915. |
| [5] | Hendricks, K. and Singhal, V. (2005) Association between Supply Chain Glitches and Operating Performance. Management Science, 51, 695-711. |
| [6] | Tomlin, B. (2006) On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks. Management Science, 52, 639-657. |
| [7] | Grimm and Wagner (1974) Weather Effects on Masonry Productivity. Journal of Construction Div Am SocCiv Engineering, 100, 335-319. |
| [8] | Dong, L.B. and Tomlin (2012) Management Disruption Risk: The Interplay between Operations and Insurance. Management Science, 58, 1898-1915. |
| [9] | Thomas, H.R. (2000) Schedule Acceleration, Work Flow, and Labor Productivity. Journal of Construction Engineering Management, 126, 261-267. |
| [10] | Ibbs, C.W. (1994) Project Change Management Construction Industry Institute Special Publication 43-1 Austin, Texas. |
| [11] | Nordhaud, W.D. (2006) Geography and Macroeconomics: New Data and New Findings. Proceedings of the National Academy of Sciences, 3510-3517. |
| [12] | Diekmann, J.E. and Nelson, M.C. (1985) Construction Claims: Frequency and Severity. Journal of Construction Engineering Management, 111, 74-81. |
| [13] | Sample, C., Hatman, F.T. and Jargeas, G. (1974) Construction Claims and Sipute: Causes and Cost/Time Overrun. Journal of Construction Engineering Management, 120, 785-795. |
| [14] | States Corporation Census (2003) Corporate Financial Statistics. www.census.gov.eped eww150128lx |
| [15] | Staff Survey (2011) Weather Is the Leading Culprit for Supply Chain Disruptions. Supply Chain Quarterly Q4. |
评论
发表评论