scholarly journals Dynamic Change Management for Fast-Tracking Construction Projects

Author(s):  
M. Park
2019 ◽  
Vol 46 (12) ◽  
pp. 1160-1173 ◽  
Author(s):  
Zinab Abuwarda ◽  
Tarek Hegazy

Fast-tracking is an important process to speed the delivery of construction projects. To support optimum fast-tracking decisions, this paper introduces a generic schedule optimization framework that integrates four schedule acceleration dimensions: linear activity crashing; discrete activity modes of execution; alternative network paths; and flexible activity overlapping. Because excessive schedule compression can lead to space congestion and overstressed workers, the optimization formulation uses specific variables and constraints to prevent simultaneous use of overlapping and crashing at the same activity segment. To handle complex projects with a variety of milestones, resource limits, and constraints, the framework has been implemented using the constraint programming (CP) technique. Comparison with a literature case study and further experimentation demonstrated the flexibility and superior performance of the proposed model. The novelty of the model stems from its integrated multi-dimensional formulation, its CP engine, and its ability to provide alternative fast-track schedules to strictly constrained projects without overstressing the construction workers.


2019 ◽  
pp. 157-164 ◽  
Author(s):  
Mohamed Ibrahim Khalifa Halou ◽  
Razali Samin ◽  
Mushtaq Ahmad

2009 ◽  
Vol 36 (3) ◽  
pp. 439-449 ◽  
Author(s):  
Yi Zou ◽  
Sang-Hoon Lee

Change orders are ubiquitous in construction projects, and effective and efficient control of changes is critical to project success. There have been many empirical suggestions as to how to manage changes for best project outcomes, but this research is specifically aimed at exploring the relationship between project characteristics and the implementation of project change management best practices (PCMBP). Construction project data for this research are derived from the Construction Industry Institute (CII) benchmarking and metrics (BM&M) database. Binary logistic regressions and factorial analysis of variance (ANOVA) are performed to find out the differences among diverse types of projects in terms of the extents to which the PCMBP elements have been implemented. The findings can assist construction industry practitioners with using PCMBP more purposefully in accordance with specific project characteristics so that they will be better able to develop and administer their project execution plans.


2020 ◽  
Vol 74 (2) ◽  
pp. 155-172
Author(s):  
Lukas Heidt ◽  
Felix Gauger ◽  
Benjamin Wagner ◽  
Andreas Pfnür

In times of digital transformation and dynamic change in corporate environments, the importance of agile project management is growing. This further affects the demand on change management and its contribution to project success. We conduct interviews with project participants of an agile project to identify the associated need for adaptation of change management. Change management criteria have to be adjusted, particularly in areas of communication and stakeholder management and integration into agile project management methods. Personal communication, individual stakeholder management, and participation are starting points for adapting and integrating change management into agile project management.


1988 ◽  
Vol 15 (4) ◽  
pp. 493-499 ◽  
Author(s):  
P. Fazio ◽  
O. Moselhi ◽  
P. Théberge ◽  
S. Revay

The growing use of professional construction management has been synonymous with the development of new project delivery systems such as the phased construction approach and the fast-tracking technique. This paper establishes the distinction between these two types of approach which have become increasingly popular for reducing project duration. The paper further illustrates, through a case study, the possible consequences of compressing and overlapping design activities in a fast-track program to expedite project delivery. A delay analysis shows the impact of this accelerated technique on construction activities. The far-reaching effect of mistakes during the early design/engineering phase in a fast-track program is usually underrated. Accelerating a project through fast-tracking is a major decision, and construction professionals often are not aware of its implications. Based on the case study examined in this paper and other fast-track constructions previously analyzed, trouble areas requiring special attention have been depicted and recommendations with regard to the effective use of this technique are presented. It has also been shown that if intensified effort on problem areas is lacking, such a popular accelerated technique could result in unexpected delays. Key words: fast-tracking, phased construction, professional construction management, design management.


2008 ◽  
Vol 35 (8) ◽  
pp. 764-776 ◽  
Author(s):  
Manjula Dissanayake ◽  
Aminah Robinson Fayek

Increasing project complexity and greater levels of fast-tracking on construction projects make the need for quickly detecting and diagnosing a deviation in a construction performance measure from its planned value a challenging task. In such a rapidly changing environment, timely detection of deviations is critical so that the most effective corrective actions can be taken. This paper presents an integrated model that is capable of predicting and diagnosing construction performance deviations based on a combination of field measurements and subjective assessments of performance-related factors. The proposed system is based on the synergistic integration of the soft computing approaches of fuzzy set theory, neural networks, and genetic algorithms. A systematic methodology to elicit and represent qualitative construction performance knowledge from a group of experts is presented. The essential features of the model are described in detail and are implemented in a computer system called XCOPE (explaining construction performance).


2021 ◽  
Vol 11 (24) ◽  
pp. 11895
Author(s):  
Yu Zheng ◽  
Llewellyn C. M. Tang ◽  
K. W. Chau

Digitalization is considered a dynamic change process powered by the rapid development of innovative concepts (e.g., building information modeling) that brings substantial potential benefits to the construction industry. However, previous studies of the benefits of digitalization (BIM) were mainly based on laboratory data rather than actual practices, which compromised the reliability of the results for construction practitioners. This study investigated the impact of digitalization in EPC construction projects by integrating descriptive statistics and survey-based exploratory factor analysis (SEFA). After a detailed review of related studies and meetings with experts, ten main variables and 14 unified variables were identified. The data on these variables were collected by questionnaire surveys and the extraction of information from project documentation. A total of 62 participants from 33 EPC construction projects responded to the questionnaire survey. The SEFA results indicated that digitalization can improve both the cost and time performance, with greater potential for improvement in time performance for EPC projects. In a scenario with limited digitalization implementation, this research could motivate future researchers to develop more applied research and guidelines to achieve best practices in the domain of the digitalization of construction projects.


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