Contractor Selection for Construction Projects Using Consensus Tools and Big Data

2017 ◽  
Vol 20 (4) ◽  
pp. 1267-1281 ◽  
Author(s):  
Osman Taylan ◽  
Muhammed R. Kabli ◽  
Carlos Porcel ◽  
Enrique Herrera-Viedma
Keyword(s):  
Big Data ◽  
Construction Projects ◽  
Contractor Selection ◽  
Selection For

scholarly journals CONTRACTORS SELECTION CRITERIA FRAMEWORK FOR CONSTRUCTION PROJECT IN KLANG VALLEY

2021 ◽  
Vol 1 (1) ◽  
pp. 22-34
Author(s):  
Mohd Shahril Zainal Abedin ◽  
Siti Rashidah Mohd Nasir ◽  
Abdullah Basri
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Urban Landscape ◽  
Process Analysis ◽  
Construction Project ◽  
Public And Private ◽  
Contractor Selection ◽  
Project Completion ◽  
Klang Valley ◽  
Selection For

Malaysia's construction industry is going from strength to strength, with a whole host of newly-announced projects promising to increase activity. Moreover, the construction industry is a very important part of Malaysian economy. The country already has a lot of projects ongoing and under the pipelines, with an ever-changing urban landscape offering plenty of opportunities. The evaluation of project success and the level of success criticality in the development of construction projects in Malaysia are according to the specific requirements and priorities of different project stakeholders and varies from project to project. However, the issues related to maintenance and project functionality are of main concerned to most Government Agencies in Malaysia at the project completion stage apart from client satisfaction on the good services and excellent product deliverables. In the contractor selection stage is commonly used procedure for identifying a pool of competitive, competent and capable contractors from which tenders may be sought. It can aid public and private owners in achieving success by ensuring that only qualified contractor is selected to execute the work. The findings results indicate that several of the criteria highlighted as the most influential criteria of contractor selection for construction project. Another important understanding from the research is that the developing the framework to show the most appropriate ways to select the best contractor for the project. The weightage of each criterion are effective for assessing the technical and commercial tender submission during the tender process. Analysis indicated the top 3 of most influential criteria for contractor selection for construction project in Klang Valley are participation in stakeholders bid process, good tender proposal and method of statement.

scholarly journals An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects

2021 ◽  
Vol 13 (12) ◽  
pp. 6933
Author(s):  
Aziz Naghizadeh Vardin ◽  
Ramin Ansari ◽  
Mohammad Khalilzadeh ◽  
Jurgita Antucheviciene ◽  
Romualdas Bausys
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Water Channel ◽  
Multicriteria Decision Making ◽  
Decision Support Model ◽  
Cost Overruns ◽  
Contractor Selection ◽  
Model Based ◽  
Fuzzy Vikor ◽  
Bid Price

Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client’s requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice.

Design-Build Contractor Selection for Public Sustainable Buildings

2015 ◽  
Vol 31 (5) ◽  
pp. 04014070 ◽  
Author(s):  
Bo Xia ◽  
Qing Chen ◽  
Yelin Xu ◽  
Mei Li ◽  
Xiaohua Jin
Keyword(s):  
Sustainable Buildings ◽  
Contractor Selection ◽  
Design Build ◽  
Selection For

Preliminary Benefits of Big Data in the Construction Industry: A Case Study

2022 ◽  
pp. 1-11
Author(s):  
Bernard Tuffour Atuahene ◽  
Sittimont Kanjanabootra ◽  
Thayaparan Gajendran
Keyword(s):  
Big Data ◽  
Construction Industry ◽  
Construction Projects ◽  
Big Data Applications ◽  
Data Application ◽  
Construction Firm ◽  
Big Data Application ◽  
Tangible Benefit ◽  
Design Construction

Big data applications consist of i) data collection using big data sources, ii) storing and processing the data, and iii) analysing data to gain insights for creating organisational benefit. The influx of digital technologies and digitization in the construction process includes big data as one newly emerging digital technology adopted in the construction industry. Big data application is in a nascent stage in construction, and there is a need to understand the tangible benefit(s) that big data can offer the construction industry. This study explores the benefits of big data in the construction industry. Using a qualitative case study design, construction professionals in an Australian Construction firm were interviewed. The research highlights that the benefits of big data include reduction of litigation amongst projects stakeholders, enablement of near to real-time communication, and facilitation of effective subcontractor selection. By implication, on a broader scale, these benefits can improve contract management, procurement, and management of construction projects. This study contributes to an ongoing discourse on big data application, and more generally, digitization in the construction industry.

Optimisation of resource management in construction projects: a big data approach

2019 ◽  
Vol 16 (2) ◽  
pp. 82-93 ◽  
Author(s):  
Habeeb Kusimo ◽  
Lukumon Oyedele ◽  
Olugbenga Akinade ◽  
Ahmed Oyedele ◽  
Sofiat Abioye ◽  
...  
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Design Methodology ◽  
Key Factors ◽  
Content Type ◽  
Management Processes ◽  
Qualitative Research Methodology ◽  
The Uk

Purpose The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach Based on a qualitative research methodology, 14 experts from the UK construction industry were chosen to be participants in the study. The participants were equally divided into two focus groups to discuss resource management using five projects as case studies. Thematic analysis of the discussion reveals seven key factors that affect resource management. Findings The results show that most of the problems identified are due to poor data management processes and the practice of having data in silos. Overcoming this challenge requires the adoption of big data approaches for resource management to allow the integration of large and different forms of data. Originality/value This study seeks to bring to the fore challenges faced in resource management by the UK construction industry and to outline some solutions to address them.

scholarly journals Contractor Selection for Sgraffito Decoration of Cultural Heritage Buildings Using the WASPAS-SVNS Method

2019 ◽  
Vol 11 (22) ◽  
pp. 6444 ◽  
Author(s):  
Morkunaite ◽  
Bausys ◽  
Zavadskas
Keyword(s):  
Cultural Heritage ◽  
Neutrosophic Set ◽  
Analytic Hierarchy ◽  
Contractor Selection ◽  
Heritage Buildings ◽  
Selection For ◽  
Conservation Projects ◽  
Product Assessment ◽  
Decoration Technique ◽  
Architectural Knowledge

Sgraffito is an ancient decorative technique applied in walls, produced by using layers of cement plaster tinted in contrasting colours to a moistened surface. This decoration originated in Italy and has been expanded in different European cities or villages. Nowadays, this decoration technique has almost disappeared because of decomposition, inexperience, or lack of knowledge. The preservation and restoration of the sgraffito technique is the most challenging and vital task of cultural heritage buildings’ preservation. Consequently, the conservation of sgraffito depends not only on the historical and architectural knowledge, studies, and conservation projects of the cultural heritage buildings, but also demands the experience, proper qualification, and knowledge of the contractor. This paper presents six principal criteria. Three possible variants for contractor selection for sgraffito decoration of cultural heritage buildings are proposed, and six principal criteria for their evaluation are suggested. The research employs the Analytic Hierarchy Process (AHP), SWARA (Step-Wise Weights Assessment Ratio Analysis), and WASPAS-SVNS (Weight Aggregated Sum Product Assessment-Single- Valued Neutrosophic Set) methods.

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