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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Construction Engineering and Project Management
Journal Basic Information
Journal DOI :
Korean Institute Of Construction Engineering and Management
Editor in Chief :
Samuel Ariaratnam / Hong Tae-hoon
Volume & Issues
Volume 4, Issue 4 - Dec 2014
Volume 4, Issue 3 - Sep 2014
Volume 4, Issue 2 - Jun 2014
Volume 4, Issue 1 - Mar 2014
Selecting the target year
Problems Related to Construction and Building Materials in Libya
Salah, Abuzaid ; Bloomer, Steve ;
Journal of Construction Engineering and Project Management, volume 4, issue 4, 2014, Pages 1~8
DOI : 10.6106/JCEPM.2014.4.4.001
The broad aim of this paper is to provide a detailed understanding of the post-war problems associated with materials for reconstruction in Libya, and to identify key problems and obstructions. Theoretical and empirical studies are being conducted in Libya. The theoretical study focuses on materials for construction and the key issues such as sources, transport and storage of materials, as well as their impact on the national economy, the nation's socio-economic development and the environment. This empirical study employed questionnaires, observations and a series of interviews with researchers, academics, suppliers and manufacturers, supported by the researcher's three decades of experience of working in the construction industry and its associated processes and operations. The empirical study illustrated that materials for post-disaster reconstruction in Libya suffer from external problems related to policies and decision-making in terms of availability of materials, fluctuation of prices of materials, specifications, building codes, legislation and regulations, and internal problems related to the construction and building material's key players: construction companies, consultancy firms, manufacturers and suppliers.
A Neural Network Model for Building Construction Projects Cost Estimating
El-Sawalhi, Nabil Ibrahim ; Shehatto, Omar ;
Journal of Construction Engineering and Project Management, volume 4, issue 4, 2014, Pages 9~16
DOI : 10.6106/JCEPM.2014.4.4.009
The purpose of this paper is to develop a model for forecasting early design construction cost of building projects using Artificial Neural Network (ANN). Eighty questionnaires distributed among construction organizations were utilized to identify significant parameters for the building project costs. 169 case studies of building projects were collected from the construction industry in Gaza Strip. The case studies were used to develop ANN model. Eleven significant parameters were considered as independent input variables affected on "project cost". The neural network model reasonably succeeded in estimating building projects cost without the need for more detailed drawings. The average percentage error of tested dataset for the adapted model was largely acceptable (less than 6%). Sensitivity analysis showed that the area of typical floor and number of floors are the most influential parameters in building cost.
An International Index for Customer Satisfaction in the Construction Industry
Othman, Ayman Ahmed Ezzat ;
Journal of Construction Engineering and Project Management, volume 4, issue 4, 2014, Pages 17~32
DOI : 10.6106/JCEPM.2014.4.4.017
In a competitive business environment, like construction, achieving customer satisfaction has been identified as an important element for measuring project's success and sustaining competitive advantage. Traditionally, customers were expelled from the product development process. Little effort was done, in the past to identify the factors that lead to customer satisfaction and hence, use them for product improvement. Organizations that adopted that approach, encountered the risk of losing their customers. In construction, end-users of governmental housing projects were excluded from the design decision making process and accordingly, their requirements were not reflected in design. Although a number national customer satisfaction indices and barometers have been developed worldwide, they have their own limitations and shortcomings. This paper aims to develop an international index for customer satisfaction in the construction Industry. For the first time in construction literature, this research identified, validated and classified 45 drivers for achieving customer satisfaction in the construction industry.
Time-Profit Trade-Off of Construction Projects Under Extreme Weather Conditions
Senouci, Ahmed ; Mubarak, Saleh ;
Journal of Construction Engineering and Project Management, volume 4, issue 4, 2014, Pages 33~40
DOI : 10.6106/JCEPM.2014.4.4.033
Maximizing the profitability and minimizing the duration of construction projects in extreme weather regions is a challenging objective that is essential for project success. An optimization model is presented herein for the time-profit trade-off analysis of construction projects under extreme weather conditions. The model generates optimal/near optimal schedules that maximize profit and minimize the duration of construction projects in extreme weather regions. The computations in the model are organized into: (1) a scheduling module that develops practical schedules for construction projects, (2) a profit module that computes project costs (direct, indirect, and total) and project profit, and (3) a multi-objective module that determines optimal/near optimal trade-offs between project duration and profit. One example is used to show the impact of extreme weather on construction time and profit. Another example is used to show the model's ability to generate optimal trade-offs between the time and profit of construction projects under extreme weather conditions.
Stakeholders' Perception of the Causes and Effect of Construction Delays on Project Delivery-A Review
Gandhak, Prajyot ; Sabihuddin, Syed ;
Journal of Construction Engineering and Project Management, volume 4, issue 4, 2014, Pages 41~46
DOI : 10.6106/JCEPM.2014.4.4.041
Indian Construction industry is large, volatile, and requires tremendous capital outlays. Typically, the work offers low rates of return in relation to the amount of risk involved. A unique element of risk in the industry is the manner in which disputes and claims are woven through the fibre of the construction process. Delay is generally acknowledged as the most common, costly, complex and risky problem encountered in construction projects. Because of the overriding importance of time for both the Owner and the Contractor, it is the source of frequent disputes and claims leading to lawsuits. The growing rate of delays is adversely affecting the timely delivery of construction projects. Presently construction industries are facing a lot of problems, considering that a paper assess construction stakeholder's perception to the causes of delays and its effects on project delivery. And also one case study is considered in this paper to elicit responses from construction stakeholders. The primary aim of this paper is to identify the perceptions of the different parties regarding causes of delays, the allocation of responsibilities and the types of delays, and method of minimizing the construction delays.
A Review of Large-Scale Hydropower Project in Public Sector of Pakistan
Umair, Muhammad ; Choudhary, Muhammad Abbas ; Jahanzaib, Mirza ;
Journal of Construction Engineering and Project Management, volume 4, issue 4, 2014, Pages 47~59
DOI : 10.6106/JCEPM.2014.4.4.047
Client organization inadequate project planning before awarding the contract and insufficient monitoring and control system among the parties involved create severe problems. Ultimately, large-scale projects go beyond the expected cost and time control limits. This paper discusses the major issues involved with a large-scale Hydropower Project in Pakistan Public Sector environment. The latest approved Baseline Plan of project was reviewed and analyzed using Variance Analysis and Trend Analysis techniques in Primavera project management software to assess the efforts made of the parties involved. It was found that Project is 202% Cost overrun and 25% time delays from original contract award. After analysis of baseline plan and quantification of various variance issues in impacted activities, the questionnaire survey was conducted to identify the impact of causative factors. There were almost 17 most significant causative factors identified among 60 identified factors and responsibilities are assigned accordingly. At the end recommendations are made for strategic decisions as lessons learned during project evaluation.