Negative Total Float to Improve a Multi-Objective Integer Non-Linear Programming for Project Scheduling Compression

Fachrurrazi, Fachrurrazi; Abdullah, Abdullah; Away, Yuwaldi; Aulia, Teuku Budi

doi:10.11591/ijece.v8i6.pp5292-5302

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Where # is the activity duration after being accelerated (in days), meanwhile, # value is the total cost after the activity duration accelerated (in days). This research has developed a TCTO model of activity that can be used to develop and optimise TCTO for projects (Fachrurrazi et al, 2018c), although for this purpose, it requires the involvement of the TCTO of several other activities. Therefore further research is still needed for several other activity models.…”

Section: Discussionmentioning

confidence: 99%

Sub-activity Time-Cost Trade-off Model of Building Structural Beam on the Projects in the North Aceh Region

Fachrurrazi

Abdullah

Away

et al. 2019

Aceh Int. J. Sci. Technol

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Problems for both delayed and accelerated activities in scheduling are common in most projects. This problem can implicate on the additional construction cost with different trends as a specific model. A model can provide valuable information to project acceleration judgement. This research aims to develop the TCTO sub-activity model of formwork, rebar work, and concrete work of the building structural beam on the projects in the North Aceh region. We have collected 33 data sourced from the project cost plan report and respondents judgment in the reviewed area. Descriptive statistics and the regression analysis are used to generate the TCTO model. The results show that the activity duration of the structural beam as broken down into sub-activities of formwork, rebar work and concrete work can be compressed until reaching 40%, 50%, and 40% of its normal duration, respectively. The additional cost of the compressed duration for each sub-activity shows the direct incremental cost per days of 3.67%, 3.63%, and 4.27% of its normal cost. Meanwhile, the possible crash cost of each the sub-activities are 122%, 118.15%, 125.61%, respectively.The models practically represent a linear model in the same daily pattern acceleration.

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Section: Discussionmentioning

confidence: 99%

Sub-activity Time-Cost Trade-off Model of Building Structural Beam on the Projects in the North Aceh Region

Fachrurrazi

Abdullah

Away

et al. 2019

Aceh Int. J. Sci. Technol

Self Cite

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“…is study considers costs, time, and quality as criteria that are directly involved and integrated into risk analysis by giving weight to each of these criteria. e use of integrated criteria weights for multiobjective decision-making can be effective, as other studies also use criteria weights [37,38]. Integrating simultaneously 3 project objectives in risk variable ranking is based on that each contractor has different preferences for the three project objectives.…”

Section: Comparison To Other Researchmentioning

confidence: 99%

Implementing Fuzzy TOPSIS on Project Risk Variable Ranking

Husin

Fachrurrazi

Rizalihadi

et al. 2019

Advances in Civil Engineering

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Managing construction risks with a large number of risks with small impact can increase the additional effort and cost of inefficient construction. Therefore the variables need to be eliminated. The aim of this study is ranking the risk variable based on its frequency of occurrence by integrating time, cost, and quality criteria simultaneously and selecting the top ten variables with the order of the most significant impact. The risk variable ranking based on triple project objective of cost, time, and quality simultaneously is a challenge for particular projects or regions contributing to the risk context. A number of 127 qualitative risk variables of 14 factors occurring in a project to be eliminated require a method/technique. A fuzzy TOPSIS method involving linguistics data is proposed to capture vague conditions. Results show that the top ten rankings of risk variables based on integrating the different weights of cost, time, and quality are successfully identified by concluding that the labour factor is the most dominant variable affecting project risk in context the rehabilitation and reconstruction posttsunami disaster, especially in Aceh-Indonesia. The variables are lack of labour, unskilled labour, undisciplined labour, and low productivity of labour. This condition can differ from different risk contexts. This research is different from other studies that only review cost, time, and quality separately. We stated that to integrate all three criteria of cost, time, and quality simultaneously is more logic to analyze risk variable ranking.

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Negative Total Float to Improve a Multi-Objective Integer Non-Linear Programming for Project Scheduling Compression

Cited by 2 publications

References 23 publications

Sub-activity Time-Cost Trade-off Model of Building Structural Beam on the Projects in the North Aceh Region

Sub-activity Time-Cost Trade-off Model of Building Structural Beam on the Projects in the North Aceh Region

Implementing Fuzzy TOPSIS on Project Risk Variable Ranking

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