Construction productivity fuzzy knowledge base management system

Elwakil, Emad; Zayed, Tarek

doi:10.1139/cjce-2017-0540

Cited by 18 publications

(9 citation statements)

References 31 publications

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“…Companies are creating information systems for knowledge management to manage their own learning and their in-house business know-how (Anumba and Pulsifer, 2010). They also help an organisation to improve business performance (ElFar et al , 2017), project performance and productivity (Ku et al , 2010; Elwakil and Zayed, 2018). However, the absorption of these systems, in terms of organisational change, has been a poor experience for some companies (Liu et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Addressing the knowledge management “nightmare” for construction companies

Vaz-Serra

Edwards

2020

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Purpose Knowledge management presents a problem for the architecture, engineering and construction (AEC) industry, largely because of the industry’s fragmented structure and project-driven nature. Construction companies may be involved in a variety of projects in different locations, each having its own knowledge requirements. Companies are also expected to be competitive, flexible and innovative, but introducing new knowledge management systems (KMSs) may represent a change that is beyond the organisation’s capacity to undergo successfully, and thus becomes a “nightmare”. The purpose of this paper is to propose and test a KMS solution that can help to facilitate the capture and application of important knowledge without introducing unnecessary changes in internal procedures for the organisation. Design/methodology/approach Following a review of existing systems, and an interview survey of 22 managers in the Portuguese AEC industry (contractors, design consultants and project management consultants) a new IT-based construction KMS called ConstruKnowledge was developed. The KMS was tested, verified and validated in two Portuguese construction projects and assessed by 12 managers in the construction company undertaking those projects. Findings The results of two pilot tests using ConstruKnowledge in two Portuguese construction projects demonstrate that its use can raise the levels of confidence in decision-making, and retaining knowledge; and that it serves to add value to the company. Practical implications The Construknowledge KMS is an innovative contribution to the greater acceptance of KMSs in the construction industry. The system facilitates the effective and efficient development of an organisational KMS using basic Information and Communications Technology (ICT)-based collaboration tools. While undertaken in the context of the Portuguese industry, the KMS has a wider global potential for implementation and further development. Originality/value The originality and value of this research are that it demonstrates how a KMS can be developed and then used in a construction company to capture and share knowledge without introducing additional constraints.

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Section: Introductionmentioning

confidence: 99%

Addressing the knowledge management “nightmare” for construction companies

Vaz-Serra

Edwards

2020

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“…Fuzzy reasoning, also known as approximate reasoning, is a reasoning process of drawing possible uncertain consequences from imprecise antecedent sets. In recent years, many fuzzy reasoning expert systems have been developed for assisting decision-making in the fields of construction management, such as risk assessment [52,53], productivity forecasting [54,55], and cost analysis [56]. The advantage of fuzzy reasoning is that it not only has sufficient adaptability and robustness, but it can also be used for heuristic and exploratory reasoning.…”

Section: G Reasoning Technologymentioning

confidence: 99%

Integration of Industry 4.0 Related Technologies in Construction Industry: A Framework of Cyber-Physical System

2020

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The Fourth Industrial Revolution (Industry 4.0) is reshaping the construction industry and bringing it into an intelligent construction era. Emerging technologies, such as the Building Information Modelling, Internet of Things, big data, cloud computing, and artificial intelligence, have penetrated into all stages of the building life cycle and play a significant role. However, the major issue of intelligent construction is integrating multiple technologies to create more potential opportunities rather than their fragmented application. Considering the various special characteristics of the construction industry and the high heterogeneity of these technologies, their integration in the construction industry is challenging and requires in-depth investigations. This paper summarizes the Industry 4.0-related technologies involved in the construction industry based on an analysis of the characteristics of the industry. Further, this study presents a framework of a cyber-physical system to integrate these technologies and improve the overall capabilities of construction organization and management. A case study of the Xiong'an citizen service center is introduced to verify the technological feasibility and preliminary implementation effect of the proposed framework. As forward-looking research, the significance of this paper may also to inspire more efforts in this field.

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“…Equations 3 and 4 represent the approach used to calculate the average validity/ invalidity percentages and predict the model error. An AIP value close to 0.0 is reliable and robust, while the opposite is true if it closes to 100 (Zayed and Halpin, 2005;Elwakil and Zayed, 2018). The collected data was divided into two data sets, namely, 80% was used to build the model and 20% was used for validation.…”

Section: Model Validationmentioning

confidence: 99%

Expert-based approach to rank critical asset assessment factors for healthcare facilities

Salem

Elwakil

2021

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Purpose This research’s main objective is to develop an expert-based approach to rank critical asset assessment factors for health-care facilities. This approach will improve the asset management of health-care buildings. This paper aims to study and prioritize the relative importance of asset criticality factors. Design/methodology/approach The research methodology begins with a comprehensive literature review of state-of-the-art health-care facilities management, asset management tools, critical asset assessment and approaches to model techniques. Then, using the expert-based opinion and the collected data through the analytical hierarchy process approach to developing the asset assessment model contains physical, environmental, general safety and revenue loss assessment models. Findings Results showed that the general safety factors and the sub-factors of life safety and physical safety contributed to asset condition assessment. Practical implications The proposed critical asset assessment ranking will benefit health-care facility organizations by assessing their asset performance according to capital renewal needs. Originality/value This study offers a novel conceptual framework to understand and determine rank critical asset assessment factors for health-care facilities.

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Construction productivity fuzzy knowledge base management system

Cited by 18 publications

References 31 publications

Addressing the knowledge management “nightmare” for construction companies

Addressing the knowledge management “nightmare” for construction companies

Integration of Industry 4.0 Related Technologies in Construction Industry: A Framework of Cyber-Physical System

Expert-based approach to rank critical asset assessment factors for healthcare facilities

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