Designing Model in Delays Risk Management Planning and Result-Oriented Delays Analysis, Based on Variance and Importance Degree (BVID)

Rooholelm, Vahid; Aboumasoudi, Abbas Sheikh

doi:10.1109/tem.2020.2973027

Cited by 3 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They recorded the causes of delays attributed to non-attributable to one of the project elements in the BVID technique as the successors of the activities affected by the relevant changes and calculated the delays using statistical analysis. The share of delays for each project element was calculated as the delay for each element divided by the total delays for all aspects of the project, showing the negligence for each element separately (Sheikh Aboumasoudi and Rooholelm, 2022). Karimi and Yahyazade (2022) investigated the risk of software development projects from four dimensions, including the risk of cost deviation, time deviation, quality deviation and scope deviation, which used rough set theory (RST) and used GST used to cluster the attributes and data.…”

Section: Literature Reviewmentioning

confidence: 99%

Applying claim reduction criteria in selecting efficient contractors with the two-step grey data envelopment analysis approach

Asnaashari,

Sheikh Aboumasoudi,

Mozaffari

et al. 2023

Self Cite

View full text Add to dashboard Cite

PurposeThe application of correct contractor selection strategies leads to the selection of a qualified contractor and, as a result, the on-time delivery of the project with the desired quality and within the predetermined budgetary constraints. For this reason, evaluating and qualifying contractors before reviewing the proposed prices has been considered an important issue. One factor that disrupts the project completion process and the failure to achieve pre-planned goals effectively is the occurrence of contractors' disputes and claims in projects. To this end, the present study explores claim-reduction strategies for selecting effective contractors in an uncertain environment to reduce possible problems.Design/methodology/approachThe two-step grey data envelopment analysis (GDEA) approach was used to measure efficiency as a powerful tool in selecting efficient contractors during tenders. This approach can extend the applications of multi-criteria decision-making (MCDM) models. In other words, given some uncertainties, the unavailability of some data, and the problems with the DEA model, the two-step GDEA model was used to rank the contractors. The data confirmed the satisfactory outcomes from the selected model.FindingsThe preliminary assessment of contractors is a pre-tendering process and a step in categorizing contractors, excluding contractors lacking required qualifications, and selecting efficient contractors. At first, it will help the employer to exclude inexperienced and unqualified contractors, save resources and time, reduce threats, replace opportunities with threats, and reduce material and non-material costs during the completion of the project until the projects are put into operation. Consequently, this approach reduces claims to a minimum level and increases the organization's effective material and non-material profit.Originality/valueOil and gas plans and projects have a significant, sensitive, and decisive role in the economic, social, political, cultural, infrastructural, and all-round development of Iran; This is while most of the financial resources needed to implement the development and programs across the country come from oil revenues. Studies have indicated that despite the importance of these plans and projects, many of them are not completed successfully, and this causes irreparable losses to the country's economy and development in various fields.HighlightThe findings of this study can be used by organizations to select more effective contractors to assign projects and plans to them.The preliminary assessment of contractors is a pre-tendering process and a step in categorizing contractors, excluding contractors who lack required qualifications, and finally selecting efficient contractors.At first, it will help the employer to exclude inexperienced and unqualified contractors, save resources and time, reduce threats, replace opportunities with threats, and reduce material and non-material costs during the completion of the project until the projects are put into operation.This approach also gives credit to the employer during the execution period and contributes to assessing unqualified contractors and reducing the temptation to hand over the project to an unqualified contractor but with a lower bid price.Consequently, this approach reduces claims to a minimum level and increases the effective material and non-material profit of the organization.Moreover, it provides an extra-organizational evaluation for contractors, motivating them to upgrade their capabilities and optimally allocate material and non-material resources, especially human resources.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Applying claim reduction criteria in selecting efficient contractors with the two-step grey data envelopment analysis approach

Asnaashari,

Sheikh Aboumasoudi,

Mozaffari

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…Also, the accuracies of delay analysis methods are questioned by practitioners and courts [92]. The most accepted delay analysis methods in the construction industry, such as Time Impact Analysis (TIA), But-For Analysis, Windows Analysis (WA) and their derivatives [90,92,95,100], entail an excessive number of requirements such as time, cost and experts [13,21,25,30,57,95,101,102]; therefore, the difficulties of their implementations make the practitioners suffer from their applications [67,90,103]. It can be derived from the existing studies that the most appropriate delay analysis models should consider the following attributes; CPM, actual sequence of work, concurrency, float ownership and fluctuations of critical paths.…”

Section: Framework Of Existing Delay Analysesmentioning

confidence: 99%

An Overarching Review on Delay Analyses in Construction Projects

Cevikbas

Işık

2021

Buildings

View full text Add to dashboard Cite

Numerous studies have been conducted by researchers on the delay analysis topic, which is one of the primary areas of scientific study due to the effects of delays on time and cost in construction projects. Following fruitful contributions made by the researchers, it is believed to be extremely important to summarize the existing studies in terms of being a road map for future studies and practitioners. In this context, not only does this study aim to detect the most significant authors, sources, organizations and countries contributing to the improvement of delay domain in the construction industry concerning delay analyses worldwide but also to provide the researchers with extensive insights concerning the prominent research themes, trends and gaps in the literature. Hence, 168 documents related to delay analyses from 1982 to 11 February 2021 were detected through the Scopus Database and the Web of Science Database, and scientometric analyses were conducted via VOSviewer software. By evaluating the related research, two main research areas were detected in this field, namely; improving the delay analysis methods and resolving the disputes before they occur. This study is believed to make theoretical and practical contributions in that it examines the delay analysis topic in all aspects such as prominent institutions, countries, authors and sources, synthesizes the data and highlights possible research domains, gaps and trends concerning the delay analysis topic in construction industry.

show abstract

Analysing delay factors in construction projects using Z-number approach: insights from Pakistan

et al. 2023

View full text Add to dashboard Cite

Delays are a pervasive challenge in the global construction industry, requiring more consideration to address project failure. This research proposes an improved methodology for analysing delays in the construction industry. Through a literature review, a set of 85 delay factors were identified and classified into five categories aligned with the various project phases: initiation, design, procurement, execution, and closeout. A method based on the Z-number theory was developed for the evaluation and prioritization of delay factors in the context of Pakistan. This approach incorporates expert judgment, confidence level, and experience to enhance the reliability of the evaluation. The research findings underscore the substantial influence of several critical factors on project delays. Specifically, factors such as cost inflation, contractor financial issues, inadequate project supervision and management, adverse weather conditions, insufficient skilled labour, delays in government document approvals, and unforeseen cost escalations during construction emerged as the foremost contributors to project delays.

show abstract

Designing Model in Delays Risk Management Planning and Result-Oriented Delays Analysis, Based on Variance and Importance Degree (BVID)

Cited by 3 publications

References 24 publications

Applying claim reduction criteria in selecting efficient contractors with the two-step grey data envelopment analysis approach

Applying claim reduction criteria in selecting efficient contractors with the two-step grey data envelopment analysis approach

An Overarching Review on Delay Analyses in Construction Projects

Analysing delay factors in construction projects using Z-number approach: insights from Pakistan

Contact Info

Product

Resources

About