Ranking cost overrun factors in the mega hospital construction projects using Delphi-SWARA method: an Iranian case study

Balali, Amirhossein; Moehler, Robert; Valipour, Alireza

doi:10.1080/15623599.2020.1811465

Cited by 33 publications

(28 citation statements)

References 35 publications

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“…Balali et al [10] used the SWARA method to rank cost overruns in large hospital construction projects. Other researchers exploited the SWARA method to assess investment risks and select suppliers in construction projects [11,31].…”

Section: Mcdm Methods In Project Managementmentioning

confidence: 99%

“…There are several methods to weigh criteria and ultimately rank alternatives in decision-making problems. SWARA and TOPSIS methods have been extensively used in project planning for weighting criteria [10,11] and ranking alternatives [12]. Although previous studies have used the MCDM methods in various fields of science and engineering, no study has applied the integration of SWARA and TOPSIS methods to the field of project scheduling.…”

Section: Introductionmentioning

confidence: 99%

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Trading off Time–Cost–Quality in Construction Project Scheduling Problems with Fuzzy SWARA–TOPSIS Approach

et al. 2021

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The increasing number of construction projects together with the limited resources of organizations led to tough competition for achieving project goals. Time, cost, and quality have been known as the project iron triangle. Project managers attempt to allocate the appropriate resources and make the best decisions for accomplishing projects with the shortest durations, lowest costs, and the highest quality. No study has examined the time–cost–quality trade-off problem with decision-making approaches. In this study, the fuzzy multi-criteria decision-making (MCDM) methods are exploited to choose the best mode for performing each activity. For this purpose, the SWARA method is applied to determine the importance weights of time, cost, and quality. In addition, the TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution) technique is used to rank and select the best activity execution modes. The proposed model is implemented on two medium- and large-size construction projects to evaluate its efficiency. Several execution modes with fuzzy duration, cost, and quality are considered for each project activity. Finally, sensitivity analysis is conducted taking three different conditions into account: the shortest duration of the execution modes, the lowest cost of the execution modes, and the highest quality of execution modes for each activity. The solution of each trade-off is compared with the solution obtained from the fuzzy SWARA–TOPSIS method. The schedule is developed according to the best execution mode for each project activity. The obtained results in two different construction projects show significant improvements in the overall project objectives so that the projects can be completed in fewer durations and costs along with higher quality. Because of the higher importance of cost, the cost of each activity is closer to the lowest cost. The activity duration is also closer to the most likely duration, and quality is closer to the high-quality level. The application of this approach can create new opportunities for research and knowledge development in the field of construction project scheduling.

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Section: Mcdm Methods In Project Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trading off Time–Cost–Quality in Construction Project Scheduling Problems with Fuzzy SWARA–TOPSIS Approach

et al. 2021

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“…Rani [46]. There is a lot more research which has utilized the SWARA method [47][48][49][50][51][52][53][54][55][56][57][58].…”

Section: Swara (Step-wise Weight Assessment Ratio Analysis) Methodsmentioning

confidence: 99%

Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time

et al. 2020

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One of the major issues of the construction industry has been the “reworks” that affect the time, quality, and cost of projects. Therefore, reworks and the ineffective use of site resources and materials will always result in significant losses on projects. The development of information technology has led to the widespread use of Building Information Modelling (BIM) to enhance the delivery of more sustainable building construction projects. The purpose of this study is to combine the Step-wise Weight Assessment Ratio Analysis (SWARA) method and BIM technologies to identify and reduce time delays caused by reworks in construction projects. Firstly, 49 rework causes in residential buildings were identified and ranked. Then, BIM was generated and compared to the initial model. It was observed that working hours were reduced by 4.6%. Moreover, using an Earned Value Management (EVM) system, a 0.06 increase in Schedule Performance Index (SPI) factor was illustrated. Results obtained by this study provide an effective step in reducing a project’s time in the construction industry.

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“…Considering the different and sometimes contradictory goals of projects and their vital roles in identifying and prioritizing projects risks [4], in the first step, we review the documents of the project and determine the main goals in collaboration with the project sponsor. Subsequently, the stepwise weight assessment ratio analysis (S.W.A.R.A) method is used to weight the project goals; the steps of the S.W.A.R.A method are given below [37,38]:…”

Section: Aidentifying and Categorizing Project Risksmentioning

confidence: 99%

A Framework for Project Risk Assessment in Dynamic Networks: A Case Study of Oil and Gas Megaproject Construction

et al. 2021

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Conventionally, risk assessment methods suffer from ignoring the dynamic nature of risks. Therefore, this study demonstrates an interactive approach to risks and prioritizes risks based on their overall cyclic events acting on the attainment of the goals of a project during its life cycle. Hence, the risks of the project of gas condensate storage tank construction (G.C.S.T.C) are first identified and evaluated by using a fuzzy inference system (F.I.S); then, the created risk network is simulated over the project life cycle by using the results of the F.I.S; finally, the impacts of the risks are assessed by applying purposeful indicators. Based on the results, the risk of the increase in the economic sanctions most significantly impacts on achieving the project goals, and lack of the governmental support, the variation of the fiscal governmental policy, high inflation rates, and sharp changes in the exchange rate are considered as the important risks. The results also demonstrated that these five risks improved the attainment of the project goals by more than 55%, while the total improvement on the 21 other risks enhanced the achievement of the project goals by less than 45%.

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Ranking cost overrun factors in the mega hospital construction projects using Delphi-SWARA method: an Iranian case study

Cited by 33 publications

References 35 publications

Trading off Time–Cost–Quality in Construction Project Scheduling Problems with Fuzzy SWARA–TOPSIS Approach

Trading off Time–Cost–Quality in Construction Project Scheduling Problems with Fuzzy SWARA–TOPSIS Approach

Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time

A Framework for Project Risk Assessment in Dynamic Networks: A Case Study of Oil and Gas Megaproject Construction

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