• Journal of Construction Engineering and Project Management
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• 제6권3호
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• pp.14-21
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• 2016

One of the major issues in the material-based or acceptance quality characteristics asphalt pavement Quality Assurance (QA) is that the method does not have rationality to link between the individual materials and the projected performance of the pavement. A new asphalt mix QA method has been recently developed under a national research project using the probabilistic Performance Related Specification (PRS). This advanced PRS QA methodology integrates the AASHTOWare Pavement ME Design$^{(R)}$ technology with the simple performance test concept that bridges the material characteristics with the pavement performance. This paper presents a case study of asphalt pavement performance using the developed PRS QA computer program, named Quality Related Specification Software (QRSS), with an actual pavement project, to demonstrate the developed PRS procedure and to assess the robustness of QRSS in terms of the rationality of the distress predictions. The results of this limited case study show that the new PRS QA method reasonably predicts the pavement performance, properly applied the probabilistic methods, and produced rational pay adjustment.

• Journal of Korean Society for Quality Management
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• 제50권1호
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• pp.63-76
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• 2022

Purpose: The purpose of this study is to analyze the effects of risk perception and opportunistic behavior on project performance and the moderating effect of cooperation in this relationship through literature review to identify factors affecting the performance of large-scale nuclear power plant construction projects. Methods: This study conducted a survey on nuclear power plant construction project participants and verified the hypothesis using statistical methods. Results: The results of this study are as follows; First, risk perception appeared to have a positive effect on opportunistic behavior, and it was confirmed that opportunistic behavior among participating companies could occur even in nuclear power plant construction projects. Second, it has been proven that risk perception has a negative effect on project performance as suggested in previous studies. Third, in the relationship between opportunistic behavior and project performance, it was found that opportunistic behavior had a negative effect on project performance. Finally, cooperation was found to have a moderating effect on the relationship between performance risk and project performance. Conclusion: This study is a case of empirical analysis targeting nuclear power plant construction project workers, and provided a basis for reference in future related academic research and project implementation.

• Journal of Construction Engineering and Project Management
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• 제7권1호
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• pp.13-25
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• 2017

Construction projects have been observed to have problems of project delays and disruptions and the South African construction industry is not an exception. This research identified causes and effects of project delay and disruption through a desktop study. Subsequently, a questionnaire was designed and used to conduct a survey to obtain the views of the three main construction project participants - clients, consultants, and contractors. The questionnaire contains 48 causes and 13 effects of project delay and disruption identified from the desktop study. This research identified sixteen most important causes of project delay and disruption and five most important effects of delay and disruption. Sixteen most important causes were: (1) strikes, (2) rework due to errors during construction, (3) shortage of materials in market, (4) suspension of work by the client, (5) poor communication between the parties, (6) ineffective planning and scheduling of project, (7) delays in issuing working drawings, (8) mistakes and discrepancies in design documents, (9) shortage of labours and equipment, (10) delay in decision making process by the client, (11) unforeseen ground conditions, (12) unclear and inadequate details in drawing, (13) inadequate contractor's experience, (14) delay in approving changes in the scope of works, (15) delay in material delivery and (16) unacceptable quality of materials. The five major effects include: (1) create stress on contractors, (2) cost overrun, (3) time overrun, (4) poor quality of work due to rush, and (5) disputes. Furthermore, the result of this research was compared with the result of previous studies conducted in other regions of Africa in terms of causes and effects of project delay and disruption. The research concludes that numerous causes and effects of delay and disruption are limited to South African construction projects based on the comparison. The causes limited to South African construction projects include: (1) strikes, (2) suspension of work by the client (3) mistakes and discrepancies in design documents (4) delay in approving changes in the scope of works and (5) unacceptable quality of materials, while the two major effects limited to South African construction projects includes: (1) create stress on contractors and (2) poor quality of work. In conclusion, some recommendations were made in order to minimise the causes of delay and disruption identified.

• International conference on construction engineering and project management
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.200-204
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• 2015

This paper presents 10 input measures influencing project outcomes. Construction Industry Institute (CII), a consortium of more than 130 project owner and contractor companies, has collected project-level data for over 20 years. Recently, CII has developed a new system measuring project-level performance and factors presumably influencing project performance. The system, called 10-10, collects data for 10 input and 10 output measures for capital projects. The input measures include planning, organizing, leading, controlling, design efficiency, human resources, quality, sustainability, supply chain, and safety. This paper provides theoretical background for these measures. Although the input measures have been known to impact on project outcomes such as cost and schedule, there has been no study quantitatively evaluating how they are operated in the construction industry. This study contributes to revealing the current status of their uses, which will be helpful in establishing strategies improving construction project performance.

• Journal of the Korea Institute of Building Construction
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• 제10권6호
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• pp.117-126
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• 2010

As one of the key IT applications, the project management information system (PMIS) has played a significant role in construction management processes. This is because PMIS is an information system that gathers, integrates, and disseminates the output of project management processes among project participants, and is used to support all aspects of a project, from initiation through closing. This paper aims to identify the CSFs(Critical Success Factor) of Project Management and quality associated with Project Management Information System (PMIS) in construction projects, to analyze the Effect of PMIS quality on Project Management Success. The CSFs of Project Management and the quality components for PMIS are identified through a review of the literature, and consolidated through interviews with professionals in the construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor), and 253 completed questionnaires were retrieved. To increase the applicability of the results, the respondents consisted of workers spread across various parts of the construction site. Using SPSS 12.0, the data was used to analyze the relationship between PMIS Quality and Project Management Success through multiple regression analysis. These findings help to clarify what the highly prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

• Journal of Korean Society of Industrial and Systems Engineering
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• 제41권3호
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• pp.50-60
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• 2018

The use of Project Management Information System (PMIS) is increasing in project management industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project performance. However, how much and which parts of project management performance are affected by PMIS still need to be studied further. The purpose of this study is to investigate the impact of PMIS quality on project management performance. We collected data from various project based industries such as construction, defense, manufacturing, software development and telecommunication by using survey questionnaire. PMIS quality was measured in three dimensions. They are system quality, information quality and service quality. Project management performance was measured in nine variables such as time reduction, work accuracy, cost management, etc. Statistical analyses such as multiple regression were used to analyze the data. The results showed that PMIS quality had significant impacts on the project management performance and user satisfaction. It was notable that only two dimensions out of the three PMIS quality dimensions, system quality and information quality, affected the project management performance. Also, it was found that PM performance played a mediating role between PMIS and user satisfaction, and between PMIS and reuse intention. The contribution of this research is that it helps to clarify what aspects of PMIS affect the project management performance and user satisfaction.

• Asian Journal of Business Environment
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• 제4권1호
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• pp.25-35
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• 2014

Purpose - Appropriate project management knowledge as well as its effective application in the construction industry increase construction quality and, therefore, reduce fatalities and destruction. Research design, data, and methodology - This study was conducted through a comparative analysis of earthquake fatalities in Iran, Turkey, Pakistan, Indonesia, China, Haiti, Japan, and the United States of America. The data was analyzed using a frequency study. The analysis contrasts the fatalities of some of the strongest earthquakes around the world between 1960 and 2010. Results - Poor quality construction practices and a lack of effective application of project management knowledge play a major role in the vast destruction, high death toll, and dismal tragedies that are associated with earthquakes, especially in Iran. Conclusions - Despite the history of tragic earthquakes and their continuing recurrence, this study attempts to make governments, companies, and disaster management personnel aware of the dangers of poor quality construction and the deficient application of project management knowledge and, further, accentuates effective ways to prevent the probability of serious damage in future. This study contains valuable information on the effects of project management application towards reducing earthquake fatalities and destruction.

• Journal of Construction Engineering and Project Management
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• 제1권2호
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• pp.18-27
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• 2011

Egyptian construction firms (ECF) started recently to adopt quality management system (QMS) as a way to develop and improve their performance as previous studies have shown. However, considering all the firm's aspects in a competitive way is a crucial process for the ECF's culture. This research is trying to indicate the role of the QMS implementation in measuring performance (MP) through developing a model for measuring performance at the organizational level, and to explore its impact on the organizations that adopt QMS. This model is based on specific elements and their related indicators which have been derived from national approaches and models of MP. This model determines the performance level (PL) of the organization that is measured by means of a point system. Weights of the elements in the point system considered both the elements' importance in the international models and its real practice in the ECFs. This model has been validated using another questionnaire and the majority of surveyed experts agreed that the proposed model can be applied effectively.

• Journal of Korean Society of Industrial and Systems Engineering
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• 제44권3호
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• pp.276-287
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• 2021

Project Management Information System (PMIS) is a special purpose information system that is created to provide useful information for project managers and participants to make effective and efficient decision making during projects. The use of PMIS is increasing in project based industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project management performance. However, it is unclear what are the difference of PMIS impacts between industries, and still need to be studied further. The purpose of this study is to compare the impact of PMIS on project management performance between industries. We assume that the effects of PMIS will be different depending on the industry types. Five hypotheses are established and tested by using statistical methods. Data were collected by using a survey questionnaire from those people who had experience of using PMIS in various project related industries such as construction, defense, manufacturing, software development and telecommunication. The survey questionnaire consists of 5 point scale items and were distributed through e-mails and google drive network. A total of 181 responses were collected, and 137 were used for analysis after excluding those responses with missing items. Statistical techniques such as factor analysis and multiple regression are used to analyze the data. Summarizing the results, it is found that the impacts of PMIS quality on the PM performance are different depending on the industry types where PMIS is used. System quality seems to be more important for improving the PM performance in construction industry while information quality seems more important for manufacturing industry. As for the ICT and R&D industries, PMIS seems to have relatively lesser impact compared to construction and manufacturing industries.

• International conference on construction engineering and project management
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.586-590
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• 2011

This paper presents the case study of the CE by collaborative system and proposes a model of the CM group for the cable supported bridge. The cable supported bridges have a large project scale and need a high level of construction method. Therefore an advanced construction management system is required for successful completion of project. The construction management (CM) group which control design management, construction plan, subcontract, technical support and R&D is organized for the cable supported bridge project. The CM group established a collaborative system with construction site and drew an effective management of cost, process, quality, safety for each project. Furthermore, the CM group established the procedure of construction management based on the construction engineering (CE) items and performed the project management on the construction phase. Efficiency of cost reduction and site control is maximized by using a collaborative system.