IJIMT 2018 Vol.9(1): 70-73 ISSN: 2010-0248
doi: 10.18178/ijimt.2018.9.1.790
doi: 10.18178/ijimt.2018.9.1.790
Towards Cost-Time-Quality Optimized Construction Plans: An Experimental Approach
H. Aljassmi and Y. Abduljalil
Abstract—
Unrealistically squeezing construction schedules often compels constructors to compromise quality. Despite its recurrence, this fact is repetitively overlooked by planners whose principal concern is time vs. cost schedule optimisation, while disregarding the stance of quality in the equation. The mission of quality management is rather handled at the construction stage and not at the planning stage. In the light of this problem, this research contends to the need for reverting QM upstream at an early planning stage, by developing schedule solutions that not only optimises time vs. cost, but also quality criteria. This paper strides a step towards achieving this goal, by building an experimental design consisting of 13 runs, which, after implementation, will find the optimum crew size and (imposed) productivity rates so as to achieve the lowest cost while keeping the quality and production efficiency at their highest applicable levels. The primarily planning phase of the experiment is illustrated in this paper including the choice of factors, response variables and finally building the experimental design using MINITAB software as an experimental designing tool.
Index Terms— Defects, quality, productivity, optimization, construction planning.
Hamad Aljassmi and Yusuf Abduljalil are with the United Arab Emirates University, Alain (e-mail: h.aljasmi@uaeu.ac.ae, eng.yusef.aj@gmail.com).
Index Terms— Defects, quality, productivity, optimization, construction planning.
Hamad Aljassmi and Yusuf Abduljalil are with the United Arab Emirates University, Alain (e-mail: h.aljasmi@uaeu.ac.ae, eng.yusef.aj@gmail.com).
Cite: H. Aljassmi and Y. Abduljalil, " Towards Cost-Time-Quality Optimized Construction Plans: An Experimental Approach," International Journal of Innovation, Management and Technology vol. 9, no. 1, pp. 70-73, 2018.