Development of an impact-on-performance index (IPI) for construction projects in Malaysia: a Delphi study

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Husam Mansour ◽  
Eeydzah Aminudin ◽  
Balqis Omar ◽  
Ali Al-Sarayreh
Keyword(s):  
Performance Index ◽  
Delphi Study ◽  
Construction Projects

Development of a partnering performance index (PPI) for construction projects in Hong Kong: a Delphi study

2007 ◽  
Vol 25 (12) ◽  
pp. 1219-1237 ◽  
Author(s):  
John F. Y. Yeung ◽  
Albert P. C. Chan ◽  
Daniel W. M. Chan ◽  
Leong Kwan Li
Keyword(s):  
Hong Kong ◽  
Performance Index ◽  
Delphi Study ◽  
Construction Projects

scholarly journals Risk Level Assessment in Construction Projects Using the Schedule Performance Index

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Roberto Barbosa dos Santos ◽  
Antônio Edésio Jungles
Keyword(s):  
Performance Index ◽  
Risk Evaluation ◽  
Construction Projects ◽  
Construction Project ◽  
Risk Level ◽  
Limit Values ◽  
Strong Point ◽  
Efficient Management ◽  
Schedule Performance ◽  
Inferior Limit

Construction projects are risky in both physical implementation and management. The characteristics of the risk reinforce the necessity of efficient management to increase the chances of success without commitment to its goals. This study explores the correlation of delay and the schedule performance index (SPI) to evaluate the risk of a construction project completed with time overruns. The hypothesis that the SPI of projects with a delay is distinct from those projects without a delay is assumed. A database with 19 elements was used to test this hypothesis and to calculate limit values to the SPI. Therefore, the risk of delay will be small when the observed SPI is greater than the superior limit and large when the SPI is below the inferior limit. The simplicity involved in the calculation of these values showed an advantage in comparison with other methods of risk evaluation. Another strong point observed is that any company can determine the value of risk by considering its own history and support decisions like doing corrective actions.

scholarly journals Predicting Earned Value Indexes in Residential complexes’ Construction Projects Using Artificial Neural Network Model

2020 ◽  
Author(s):  
ibraheem Aidan ◽  
Firas Jaber ◽  
Duaa Al-Jeznawi ◽  
Faiq Al-Zwainy
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Historical Data ◽  
Performance Indicator ◽  
Residential Buildings ◽  
Great Accuracy ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance

The importance of this study may be defined by using the smart techniques to earned value indicators of residential buildings projects in Republic of Iraq, only one development intelligent forecasting model was presented to predict Schedule Performance Index (SPI), Cost Performance Index (CPI), and To Complete Cost Performance Indicator (TCPI) are defined as the dependent. The approach is principally influenced by the determining numerous factors which effect on the earned value management, that involves Iraqi historical data. In addition, six independent variables (F1: BAC, Budget at Completion., F2: AC, Actual Cost., F3, A%, Actual Percentage., F4: EV, Earned Value. F5: P%, Planning Percentage., and F6: PV, Planning Value) were arbitrarily designated and satisfactorily described for per construction project. It was found that ANN has the capability to envisage the dust storm with a great accuracy. The correlation coefficient (R) has been 90.00%, and typical accuracy percentage has been 89.00%.

scholarly journals Building information modelling (BIM) capability and delivery success on construction projects

2019 ◽  
Vol 19 (2) ◽  
pp. 170-192 ◽  
Author(s):  
Abdul-Majeed Mahamadu ◽  
Lamine Mahdjoubi ◽  
Colin Booth ◽  
Patrick Manu ◽  
Emmanuel Manu
Keyword(s):  
Delphi Study ◽  
Construction Projects ◽  
Structured Interviews ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Perceived Importance ◽  
Building Information ◽  
Key Aspects ◽  
The Relationship

PurposeIn spite of emerging research on building information modelling (BIM) capability assessment, there is a general dearth of knowledge about the links between often pre-emptive capability measurement attributes and actual delivery success. More so, current studies have not considered success from the wider construction supply chain (CSC) perspective. So far, the perceived importance of capability metrics is not based on post-project evaluations of their contribution to BIM delivery success. This paper aims to identify relevant BIM capability attributes used for qualifying CSC organisations for projects and further aims to investigate their relative importance and influence on some key aspects of BIM delivery success.Design/methodology/approachBased on heretofore validated set of BIM capability attributes from semi-structured interviews and a Delphi study, a survey of CSC firms on BIM-enabled projects was used to model the influence of BIM capability attributes on BIM delivery success. Multiple regression modelling was performed to ascertain the nature of the relationship between BIM capability attributes and the key aspects of BIM delivery success as identified from the literature.FindingsBIM staff experience and the suitability of proposed methodology prior to project commencement were identified as the most influential on BIM delivery quality, as well as delivery within schedule and on budget. Conversely, the administrative and strategic-level capacities were found as the most influential in leveraging collaboration, coordination or integration of the CSC on projects through BIM.Originality/valueThis study provides a step change in prioritising BIM capability criteria based on evidence of their contribution to delivery success in key performance areas, rather than their perceived importance as capability metrics as widely practised.

Evaluating the key risk factors in PPP-procured mass housing projects in Nigeria: a Delphi study of industry experts

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bamidele Temitope Arijeloye ◽  
Isaac Olaniyi Aje ◽  
Ayodeji Emmanuel Oke
Keyword(s):  
Risk Factors ◽  
Delphi Study ◽  
Construction Projects ◽  
Delphi Survey ◽  
Maintenance Cost ◽  
Research Approach ◽  
Item Score ◽  
Content Type ◽  
Housing Projects ◽  
Mass Housing

Purpose The purpose of the study is to elicit risk factors that are peculiar to public-private partnership (PPP)-procured mass housing in Nigeria from the expert perspectives in ensuring the success of the scheme thereby reducing housing deficit in the country. Design/methodology/approach The risk inherent in construction projects had been established through literature in general. The risk in PPP projects is emerging because of the recent acceptance of the procurement option by governments all over the globe. The Nigerian Government has also adopted the procurement option in bridging the housing deficit in the country. This study, therefore, conducts a Delphi survey on the probability of risk occurrence peculiar to PPP mass housing projects (MHPs) in Nigeria. Pragmatic research approach through the mixed method of both quantitative and qualitative methods was adopted for this study. The quantitative method adopts the administration of questionnaires through the Delphi survey, whereas the qualitative method used interviews with the respondents. A two-stage Delphi questionnaire was administered to construction practitioners that cut across academics, the public and the private sectors by adopting convenient sampling techniques and following the Delphi principles and procedures. A total of 63 risk factors were submitted to the expert to rank on a Likert scale of 7 and any risk factors that the mean item score (MIS) falls below the grading scale of the five-point benchmark is deemed not necessary a risk factor associated with PPP MHPs and thereby expunged from the second round of the Delphi Survey. The interview was subsequently applied to the respondents to substantiate the risk factors that are peculiar to PPP-procured mass housing in the study area. Findings The findings show that risk factors such as maintenance frequent than expected, life of facility shorter than anticipated and maintenance cost higher than expected fall below 5.0 benchmark with MIS of 4.64 and 4.55 indicating that the risk factors are not peculiar to PPP mass housing in Nigeria. Research limitations/implications The implication for practise of this research is that these risk factors provide the PPP stakeholders with the comprehensive checklists that can aid in developing PPP risk assessment guidelines in the sector though both partners should be aware of the dynamic nature of risk because new ones might be emerging. Originality/value The authors hereby declare that the research findings are a product of a thorough research conducted in the study area and have not to be submitted or published by another person or publisher and due acknowledgement was made where necessary.

PROJECT PERFORMANCE INDEX FOR CAPITAL INTENSIVE CONSTRUCTION PROJECTS

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Shoeb Syed ◽  
Emad Elwakil
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Large Scale ◽  
Success Factors ◽  
Safety Data ◽  
Analysis Data ◽  
Project Performance ◽  
Performance Measure ◽  
Mathematical Methods ◽  
Expert Opinions

Holistic construction performance measure has been an elusive and highly sought-after goal. The stochastic nature of construction processes and the number of stakeholders involved in these processes have added to the complexity of the problem. Large-scale infrastructure projects produce big data in form of actual site parameters, safety data, risk analysis data, cost data, financial data, quality assurance data and procurement data. This research aims at developing a project performance index. The factors influencing project performance have been grouped together as Critical Success Factors (CSFs) then through survey and expert opinions, relative weights have been collected for these factors. The factors and weights have been modeled through Regression Technique and validated through analytical and mathematical methods. The developed index will benefit the academic researchers and industry practitioners to assess the performance of the project and to increase the efficiency of project performance.

scholarly journals RISK PERFORMANCE INDEXES AND MEASUREMENT SYSTEMS FOR MEGA CONSTRUCTION PROJECTS

2010 ◽  
Vol 16 (4) ◽  
pp. 586-594 ◽  
Author(s):  
Seon-Gyoo Kim
Keyword(s):  
Performance Measurement ◽  
Performance Index ◽  
Construction Projects ◽  
Three Dimensional ◽  
Urban Regeneration ◽  
Performance Measurement System ◽  
Index Method ◽  
Performance Guarantees ◽  
Performance Indexes ◽  
Integrated Performance

In recent years, interest in and studies on urban regeneration projects have increased. New urban regeneration projects, i.e., redevelopment projects, are being used to help solve the social and economic problems caused by antiquated buildings and degraded infrastructure. However, such projects can offer no performance guarantees because they have various and complex stakeholders and their huge scale exposes them to many risks. We propose a risk performance index to improve the efficiency of general performance measurement for mega projects by extending the existing cost/schedule‐based performance measurement system to include the risks of such mega projects. The risk performance index method proposed in this study is similar to the conventional EVMS and makes it possible to perform a three‐dimensional integrated performance measurement of cost/schedule/risk through 18 indexes and variables. Santrauka Pastaraisiais metais miestu atnaujinimo projektai vis dažniau atsiduria demesio centre ir yra tyrinejami. Nauji miestu atnaujinimo projektai, t. y. pertvarkymo projektai, naudojami sprendžiant socialines ir ekonomines problemas, kylančias del pasenusiu pastatu ir yrančios infrastruktūros. Tačiau tokie projektai nežada jokiu efektyvumo garantiju, nes juose dalyvauja ivairiausios ir sudetingos interesu grupes, o del stambaus masto jiems gresia daugybe rizikos rūšiu. Siūlomas efektyvaus rizikos valdymo indeksas, padedantis geriau ivertinti bendra efektyvuma stambiuose projektuose, nes esama sanaudomis ir terminais pagrista efektyvumo vertinimo sistema papildoma rizikos rūšimis, būdingomis tokiems stambiems projektams. Šiame tyrime siūlomas efektyvaus rizikos valdymo indekso metodas yra panašus i iprastas atliktu darbu vertinimo sistemas (EVMS). Jis leidžia atlikti trimati integruota efektyvaus sanaudu, terminu ir rizikos valdymo vertinima pagal 18 indeksu ir kintamuju.

scholarly journals Forecasting techniques in construction industry: earned value indicators and performance models

2020 ◽  
Vol 29 (2) ◽  
pp. 234-243
Author(s):  
Firas Jaber ◽  
Faiq Al-Zwainy ◽  
Nidal Jasim
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Performance Indicator ◽  
Tall Buildings ◽  
Earned Value ◽  
Cost Performance ◽  
Value Analysis ◽  
Earned Value Analysis ◽  
New City ◽  
And Performance

Machine Learning Regression Techniques (MLRT) as a shrewd method can be utilized in this study being exceptionally fruitful in demonstrating non-linear and the interrelationships among them in problems of construction projects such as the earned value indexes for tall buildings projects in Republic of Iraq. Three forecasting models were developed to foresee Schedule Performance Index (SPI) as first model, Cost Performance Index (CPI) as a second model, and the third model is To Complete Cost Performance Indicator (TCPI) in Bismayah New City was chosen as a case study. The methodology is mainly impacted by the deciding various components (variables) which impact on the earned value analysis, six free factors (X1: BAC, Budget at Completion; X2: AC, Actual Cost; X3: A%, Actual Percentage; X4: EV, Earned Value; X5: P%, Planning Percentage, and X6: PV, Planning Value) were self-assertively assigned and agreeably depicted for per tall buildings projects. It was found that the MLRT showed good results of estimation in terms of correlation coeffi cient (R) generated by MLR models for SPI and CPI and TCPI where the R were 85.5%, 89.2%, and 86.3% respectively. At long last, a result tends to be presumed that these models show a brilliant concurrence with the genuine estimations.

Developing a temporary multi-organization integration performance index for delivering construction projects in Malaysia

2018 ◽  
Vol 20 (5) ◽  
pp. 412-428 ◽  
Author(s):  
Che Khairil Izam Che Ibrahim ◽  
Arina Rahmat ◽  
Sheila Belayutham ◽  
Seosamh B. Costello
Keyword(s):  
Performance Index ◽  
Construction Projects
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