The Analysis of the Engineering Change Impact on Project Cost Based on the Quantities Bill Valuation

2013 ◽  
Vol 405-408 ◽  
pp. 3459-3462
Author(s):  
Jing Li ◽  
Zong Rong Xu

Engineering change directly impacts on project cost of construction projects. Beginning upon the typical engineering cases based on the quantities bill valuation, the author carried out the quantitative analysis of the impact on project cost under different changes , and find out a effective measure to prevent changes in order to control project cost.

2021 ◽  
Vol 39 (4) ◽  
pp. 1029-1034
Author(s):  
A. Nazif ◽  
A.K. Mustapha ◽  
F. Sani

Estimating of cost for building construction projects with minimum error at the conceptual stage of project development is quite  essential for planning. This study seeks to evaluate factors responsible for cost escalation of building construction projects.  Questionnaires were administered to examine and assess these factors. Subsequently, the mean score value of each factor was determined. In addition, Correlation and Linear regression analyses were used to establish the relationship between these factors. Factors responsible for cost escalation in projects were examined as well as the impact of those factors, and occurrence of those factors on project cost. The result of the analysis showed that, the most agreed factors responsible for project cost escalation were; inadequate supervision, irregular payment, and design error, having high mean values of 4.25, 4.20, and 4.15, respectively. Also, correlation analysis result established that the factors responsible for cost escalation and the impact of cost escalation had significant R and R2 of 0.81 and 0.70 respectively. Addressing these factors would go a long way in reducing the escalation of building project cost. Never the less, an effective cost management strategy is absolutely necessary to safeguard and sustain the construction  industry. Keywords: cost escalation, building project, construction, regression analysis


2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Chandresh Mehta ◽  
Lalit Patil ◽  
Debasish Dutta

Enterprises plan detailed evaluation of only those engineering change (EC) effects that might have a significant impact. Using past EC knowledge can prove effective in determining whether a proposed EC effect has significant impact. In order to utilize past EC knowledge, it is essential to identify important attributes that should be compared to compute similarity between ECs. This paper presents a knowledge-based approach for determining important EC attributes that should be compared to retrieve similar past ECs so that the impact of proposed EC effect can be evaluated. The problem of determining important EC attributes is formulated as the multi-objective optimization problem. Measures are defined to quantify importance of an attribute set. The knowledge in change database and the domain rules among attribute values are combined for computing the measures. An ant colony optimization (ACO)-based search approach is used for efficiently locating the set of important attributes. An example EC knowledge-base is created and used for evaluating the measures and the overall approach. The evaluation results show that our measures perform better than state-of-the-art evaluation criteria. Our overall approach is evaluated based on manual observations. The results show that our approach correctly evaluates the value of proposed change impact with a success rate of 83.33%.


Author(s):  
Z. H Ishaq

Construction projects are prone to a number of risks due to their complexity, dynamic nature, capital intensive nature and involvement of many stakeholders. These risks if left unmanaged will negatively influence the completion cost and other primary objectives of construction projects. Numerous studies have been conducted globally to determine the potential risks that negatively impacts construction projects; however, the risks aren’t alike across all the regions and the potential degree of impact may changes with time. This study assessed the impact of risk factors on completion cost of construction projects in Nigeria. Data was collected using structured questionnaires administered to 192 construction practitioners using convenience sampling technique. Descriptive statistics (mean and standard deviation) were used to analyse the data. The study found ‘inadequate cost estimate’ (MS = 4.39), ‘risk incurred due to bribery and corruption’ (4.30), ‘increase in prices of materials’ (4.25), ‘increase in cost of labour’’ (4.11), ‘poor cash flow management’ (4.04) ‘mistakes/errors in design’ (4.04) and ‘mistakes during construction’ to be the topmost risk factors that impact on project completion cost. The study concludes that ‘economic’, ‘financial’ and ‘contract administration and project management’ related factors group are those with high impact on project completion cost.


Author(s):  
Sha Ma ◽  
Bin Song ◽  
Wen Feng Lu ◽  
Cheng Feng Zhu

Engineering changes are inevitable in a product development life cycle. The requests for engineering changes can be due to new customer requirements, emergence of new technology, market feedback, or variations of components and raw materials. Each change generates a level of impact on costs, time to market, tasks and schedules of related processes, and product components. Change management tools available today focus on the management of document and process changes. Assessments of change impact are typically based on the “rule of thumb”. Our research has developed a methodology and related techniques to quantify and analyze the impact of engineering changes to enable faster and more accurate decision-making in engineering change management. Reported in this paper are investigations of industrial requirements and fundamental issues of change impact analysis as well as related research and techniques. A framework for a knowledge-supported change impact analysis system is proposed. Three critical issues of system implementation, namely integrated design information model, change plan generator and impact estimation algorithms, are addressed. Finally the benefits and future work are discussed.


Author(s):  
Raza Ali Khan ◽  
Muhammad Umer

It is widely believed that construction sector helps developing aggregate economy and reducing unemployment. Currently, Pakistan is experiencing a major transformational phase in the back drop of China-Pakistan Economic Corridor (CPEC). CPEC is valued at US$ 62 Billion. The present study is undertaken to ascertain the impact of time overrun of projects on their cost, the correlation between stakeholders and to predict the effect of delays on cost overruns. Causes of delays are identified by stakeholders of the construction industry of Pakistan. Two models for projects that had delay less and greater than 100 days are developed. Structured questionnaires and personal interviews are carried out to extract primary data for the study. Relative Importance Index (RII) was utilized for ranking of delay causes, and Pearson’s correlation to formulate correlation between causes of delays and cost of construction projects from the perspective of client, contractors and consultants. For predicting the impact of delays on cost of projects Linear Regression technique has been used. The results reveal that the causes of delay related to design, procurement and on-site has significant impact on delays. Pearson’s result indicates strong covenant between client and contractor. Whereas, there is a weak degree of association between consultant and contractor. Results from linear regression concluded that there is a significant effect of delay on cost of the project.


2016 ◽  
Vol 22 (3) ◽  
pp. 373-381 ◽  
Author(s):  
Ahmed B. SENOUCI ◽  
Saleh A. MUBARAK

Extreme weather significantly impacts construction schedules and costs and can be a source of schedule de­lays and budget overruns. A multi-objective optimization model, presented herein for the scheduling of construction projects under extreme weather conditions, can generate optimal/near optimal schedules that minimize the time and cost of construction projects in extreme weather regions. The model computations are organized as follows: (1) a scheduling module for developing practical schedules for construction projects, (2) a cost module for computing total project cost, and (3) a multi-objective module for determining optimal/near optimal trade-offs between project time and cost. Two practical examples of the effects of extreme weather on construction time and direct cost are provided, the first of which shows the impact of extreme weather on construction time and cost, and the second of which demonstrates the ability of the model to generate and visually present the optimal trade-offs between the duration and costs of construction projects under extreme weather conditions.


Author(s):  
Emmanuel Chidiebere Eze ◽  
John Ebhohimen Idiake

Rework is a menace that leads to undesired and unnecessary loss of efforts, it degrades project cost and schedule performance of construction projects, both at design and construction phases. This study therefore, analyzed the impact of cost of rework on time and cost performance of building construction projects in Nigerian, using selected commercial building project within the country’s capital. A pro forma was adopted for gathering data on rework cost, project cost and time of selected building projects, while structured questionnaire was used to collect information on the likely measures for reducing rework incidences from construction professionals that were involved in the delivery of the identified projects. Regression analysis, relative importance index and Kruskal-Walis test were employed for data analysis. The study revealed a significant relationship between the cost of rework and initial and final project cost of delivering commercial buildings, as an average of 3.53% impact on the initial project cost, 46.60% contribution to cost overrun, and p-value of 0.000 was observed on all assessed projects. For the project delivery time, a significant relationship between the cost of rework and initial and final project duration, as an average of 7.35% impact on the initial delivery time, extra 19 days and p-value of 0.000 was observed on all assessed projects. Team building and education, management commitment, employee involvement, were some of the best possible measures to minimized rework problems.


2021 ◽  
Vol 16 (2) ◽  
pp. 185-198
Author(s):  
W.M. Yang ◽  
C.D. Li ◽  
Y.H. Chen ◽  
Y.Y. Yu

Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of engineering change impact evaluation, this paper introduces three-parameter interval grey number to evaluate complex products according to the data characteristics. The linear combination of BWM and Gini coefficient method is used to improve the three-parameter interval grey number correlation model. It is applied to the impact evaluation of complex product engineering change. This paper firstly constructs a multi-stage complex network for complex product engineering change. Then the engineering change impact evaluation index system is determined. Finally, a case analysis was carried out with the permanent magnet synchronous centrifugal compressor in a large permanent magnet synchronous centrifugal unit to verify the effectiveness of the proposed method.


2012 ◽  
Vol 174-177 ◽  
pp. 3493-3496
Author(s):  
Guang Peng Xiao ◽  
Xue Ming Tao ◽  
Dan Dan Guo

This paper introduces the concept of subjective functional reliability and requirements method, and the establishment of a functional relationship with the project cost. With case and similar projects statistical verify the scientific, practical, to some extent, reflect people's expectations, and for limited --design laid the operability of the theoretical foundation.


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