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EN
Waste or additional costs in infrastructure projects such as jetty projects are often caused by rework. Besides having an impact on costs, rework is also a very significant contributor to waste or adding time which causes delays in the completion schedule of the project. A lot of research on rework has been carried out on both building and road construction projects, but there is no jetty construction project. This study aims to develop improvement scenarios to minimize the emergence of rework on pier infrastructure projects by modelling and simulating cost performance. The research variables were obtained based on the results of a literature study by asking for opinions from experts who are compatible in their scope. The initial model used the causal loop diagram form which was later developed into a Stock Flow Diagram, after which a repair simulation was carried out using the dynamic system method to determine the effect on cost performance. From the research results obtained 14 factors that affect the cost and time performance on the jetty project, the implementation of a dynamic system can provide the optimum solution with the ability to reduce the percentage of the number of reworks by 24.12% for 12 months.
EN
In green concept hospital work, several provisions must be obeyed so that all processes, including material selection, project implementation, and building operations, must refer to green principles. Green building planning and construction costs higher than conventional by 10-20%. By using the Value Engineering (VE) method and combined with the Lifecycle Cost Analysis (LCCA), the researcher applies the green hospital concept to a project which is a case study but is still cost-effective even lower than the original Bill of Quantity. To see the strong influence of effectiveness on the hospital project, the researcher distributed a questionnaire to stakeholders. The results of the questionnaire were processed and analyzed using the Statistics Products and Solution Services (SPSS) tool. VE is implemented after first creating a Function Analysis System Technique (FAST) diagram, before and after adding functions for certain work items. It turns out that the use of the VE and LCCA methods is very influential in improving cost performance. From the calculation of the VE method, the resulting costs are up to 2.62% of the initial cost and LCCA shows the payback period of the Solar Power Plant with time = 9.64 years ≈ 9 years 7 months. The novelty of this research is the selection materials and the green concept of working methods is still cost efficient and the installation of Photovoltaics (PV) on the roof of Hospital reaches a payback period which is feasible for new investment.
PL
Koszty konserwacji budynków nieustannie rosną ze względu na nieodpowiednią konserwację. Z tej racji, niezbędne jest wypracowanie rozwiązań obniżających koszty konserwacji. Różne badania wykazały, iż charakterystyki utrzymania urządzeń zależnie od ich bieżącego stanu technicznego (condition-based maintenance, CBM) są bezpośrednio powiązane z wydajnością kosztu. Niniejszy artykuł stara się więc ustalić związek pomiędzy charakterystykami utrzymania budynków zależnie od ich bieżącego stanu technicznego a wydajnością kosztu. Następnie opracowano model regresji dla planowania konserwacji jak i predykcji. W badaniach użyto metody mieszanej łączącej badania kwestionariuszowe, wywiad oraz studium przypadku. Rezultaty podkreśliły, iż wiarygodność danych z konserwacji i informacji to najbardziej istotne charakterystyki CBM. W konsekwencji, wnioski z badań sugerują, iż planowanie i wdrożenie strategii utrzymania w zależności od bieżącego stanu technicznego powinno brać pod uwagę jej istotne charakterystyki i odwoływać się do wynikającego z niej modelu predykcji. Ponadto, praca zawiera zalecenia jakimi środkami można w praktyce poprawić istotne charakterystyki i wydajność kosztu.
EN
Building maintenance costs are continuously increasing as a result of poor maintenance. Consequently, there is an urgent need to develop solutions to reduce the maintenance costs. Various studies demonstrated that the characteristics of condition-based maintenance are directly related to the cost performance. Thus, this paper seeks to establish the relationships between the characteristics of condition-based maintenance and the cost performance. The researcher then developed a regression model for maintenance planning and prediction. The study adopted a mix method approach that includes questionnaire survey, interview, and case study. The findings highlighted the reliability of maintenance data and information as the most significant characteristic of conditionbased maintenance. Consequently, the study concluded that the planning and the application of the condition-based maintenance strategy should consider its significant characteristics and make reference to the resulting prediction model. Furthermore, the study recommended measures to improve the significant characteristics and the cost performance in practice.
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