Integration of project management services for International Engineering, Procurement and Construction projects

Amirtash, Parisa; Jalal, Majid Parchami; Jelodar, Mostafa Babaeian

doi:10.1108/bepam-06-2020-0106

Cited by 13 publications

(7 citation statements)

References 35 publications

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“…The reliability and validity of the research are highly dependent on the diversity of information and in-depth elaboration on each issue. Similar studies have mainly used qualitative research methods, and some studies have focussed on just one company or project [27].…”

Section: Methodsmentioning

confidence: 99%

“…A design change is one of the common project risks. In Friedman's test [27], 'quality management' is rated as having the most significant impact on project success, more so than 'schedule management' and 'budget management'. This conclusion is consistent with the iron triangle model, in which quality is the project's central objective.…”

Section: Design Change Issues In An Epc Modelmentioning

confidence: 99%

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A Study of Design Change Management for Infrastructure Development Projects in New Zealand

Wang¹,

Samarasinghe²,

Skelton³

et al. 2022

Preprint

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Design changes seem inevitable in engineering, procurement and construction EPC projects. Such changes create a need for a proactive approach to adjusting project scope, cost and time (the triple constraints) for efficiency and effectiveness in overall delivery. This study investigates the causes and implications of design changes in order to improve design change management practices. Data for the study was obtained through online interviews with New Zealand industry practitioners. Thematic analysis was used to collate the results into meaningful data. The study found that design changes were predominantly caused by clients' inadequate strategic planning, insufficient attention to design, EPC contractors' inadequate design ability, and on-site variations. There were three categories of such design changes: direct impact on the project, the reciprocal and complementary effect on stakeholders, and the far-reaching impact on the community. The study concludes by suggesting improvements, such as strengthening the integration of project teams to enhance design quality, strategic alignment of stakeholders at the planning stage, early contractor involvement (ECI) between the planning and design phases, and improving collaboration between design and construction teams. Further, a combination of high technical skills (e.g. design ability) and soft skills (can-do attitude, interpersonal skills, problem-solving skills, documentation skills, etc.) are needed to effect the desired improvement in design change management.

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Section: Methodsmentioning

confidence: 99%

Section: Design Change Issues In An Epc Modelmentioning

confidence: 99%

A Study of Design Change Management for Infrastructure Development Projects in New Zealand

Wang¹,

Samarasinghe²,

Skelton³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Although unexpected weather or events beyond people's control might have an influence on budgets, most project overruns are the consequence of poor analysis or planning before construction even begins (Chan & Aghimien, 2022). In addition to improved planning, technology may assist to decrease frequent problems or aspects that lead to cost overruns, allowing to uproot efficiency and revenues (Amirtash et al, 2021).…”

Section: Risk Assessment Based On Their Probability Of Occurrencementioning

confidence: 99%

Risk Identification and Assessment in Sustainable Housing Project: A Case of Housing Sector in Pakistan

Ahmad

Sami²,

Khan³

2022

JAFEE

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Purpose: The study aims to identify the risk factors that are associated with the housing projects in Pakistan based on their relative importance. Moreover, this study intends to highlight the extreme, high and low risks that are involved in housing projects. Design/Methodology/Approach: The study adopts the quantitative research method and conducted a survey through a five-point Likert scale questionnaire. The study has collected 168 responses from the project managers, contractors, designers and consultants of housing projects in Pakistan. In order to examine the relative importance of the risk, the study has applied the Relative Importance Index (RII) method to analyse the risks. Findings: The results of the study depict that there are five extreme risks, ten high risks and 13 low risks which may contribute harm the sustainability of the housing projects. Moreover, all the critical risk factors have high probability of occurrence and extreme impact on the sustainability of the housing projects in Pakistan. Implications/Originality/Value: The practitioners are recommended to develop such projects that should not damage the ecology of the region in which they are located. Also the land should be determined on the basis of sociological and environmental consideration and not on land value alone.

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“…Despite these advancements, these applications are still considered rudimentary in decision-making processes; specially in earlier project phases such as design. Design decisions generally have the most impact and are less costly for project outcomes (Amirtash et al , 2021). Therefore, it is extremely important for designers to understand potential implications of their design.…”

Section: Background; Digital Decision Support Tools In Constructionmentioning

confidence: 99%

Designing for construction procurement: an integrated Decision Support System for Building Information Modelling

Jelodar

Wilkinson

Kalatehjari

et al. 2021

BEPAM

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PurposeMany applications of Building Information modelling (BIM) are already integrated into project management processes. However, the construction industry is suffering from poor decision-making, especially during procurement where fundamental decisions are made. To make the best decisions at earlier project stages, such as design, large amount of information needs to be processed and classified. Therefore, this study seeks to create a Decision Support System (DSS) for construction procurement through the application of existing informatics infrastructure and BIM applications.Design/methodology/approachLiterature review expert interviews and case studies with complex procurement considerations were used to identify and validate attributes and criterions for procurement decision-making. Accordingly, Multi-Attribute Utility Theory (MAUT) methodology was used and mathematical models were driven as the foundation for a DSS.FindingsFive major criterions of time, cost, relationship quality, sustainability and quality of work performed was identified for complex construction procurement decision-making. Accordingly, a DSS structure and mathematical model was proposed. Based on this a model architecture was developed for the integration of the DSS into Autodesk Revit as a BIM platform, and assist in pre-contract decision-making.Practical implicationsThe results can be used in pre-contract selection processes via currently used BIM applications. The model architecture can integrate DSS outputs to nD models, cloud systems and potentially virtual reality facilities to facilitate better construction operations and smarter more automated processes.Originality/valueThis study formulates and captures complex and unstructured information on construction procurement into a practical DSS model. The study provides a link to integrate solutions with already available platforms and technologies. The study also introduces the concept of designing for procurement; which can be expanded to other challenging decisions during construction.

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Integration of project management services for International Engineering, Procurement and Construction projects

Cited by 13 publications

References 35 publications

A Study of Design Change Management for Infrastructure Development Projects in New Zealand

A Study of Design Change Management for Infrastructure Development Projects in New Zealand

Risk Identification and Assessment in Sustainable Housing Project: A Case of Housing Sector in Pakistan

Designing for construction procurement: an integrated Decision Support System for Building Information Modelling

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