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Article
Publication date: 10 June 2022

Seda Tan and Gulden Gumusburun Ayalp

Despite several advantages of Building Information Modelling (BIM) technology, BIM has not been adopted and implemented extensively in developing countries. Consequently BIM…

598

Abstract

Purpose

Despite several advantages of Building Information Modelling (BIM) technology, BIM has not been adopted and implemented extensively in developing countries. Consequently BIM remains at a beginner level in developing countries. To increase the level of BIM implementation, first, knowing the root factors that resist BIM implementation is necessary to know. Therefore, the objective of this study was to identify the factors that limit BIM implementation in developing countries, specifically in the Turkish Architecture, Engineering and Construction (AEC) industry.

Design/methodology/approach

A questionnaire was designed with 46 influencing causes (ICs) identified through a systematic literature review. In total, 141 survey results were returned from architects and engineers, and reliability analysis, exploratory factor analysis, and confirmatory factor analysis were conducted. Furthermore, a structural equation model (SEM) was developed to identify the root factors of BIM implementation.

Findings

Eight root factors affecting the prevalent use of BIM technology in the Turkish construction industry were determined and grouped into three categories based on BIM implementation level. Problems with the BIM transition process and a lack of management support are the most influential root factors limiting BIM implementation. Lack of incentives, lack of BIM education, bias regarding BIM technology and BIM-based software problems form the second group of root factors that have a significant effect. Awareness and lack of communication amongst stakeholders were identified as root factors that had a moderate effect.

Research limitations/implications

This study contributes to the knowledge body by revealing eight root factors limiting BIM implementation in the Turkish AEC industry which can be generalised to most developing countries. Therefore, the outcomes of this study may be used as a practical reference for future research aimed at improving BIM adoption in developing countries through governmental, educational, and managerial solutions.

Originality/value

Several studies have identified the challenges and barriers of BIM implementation in the construction industry using qualitative and quantitative analyses and projected the current state. Unlike previous studies, this study comprehensively and quantitatively determined the root factors that constrain the use of BIM in Turkey using exploratory factor analysis, confirmatory factor analysis, and structural equation modelling to present a structural model.

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Article
Publication date: 16 August 2011

F. Mhada, A. Hajji, R. Malhamé, A. Gharbi and R. Pellerin

This paper seeks to address the production control problem of a failure‐prone manufacturing system producing a random fraction of defective items.

1921

Abstract

Purpose

This paper seeks to address the production control problem of a failure‐prone manufacturing system producing a random fraction of defective items.

Design/methodology/approach

A fluid model with perfectly mixed good and defective parts has been proposed. This approach combines the descriptive capacities of continuous/discrete event simulation models with analytical models, experimental design, and regression analysis. The main objective of the paper is to extend the Bielecki and Kumar theory, appearing under the title “Optimality of zero‐inventory policies for unreliable manufacturing systems”, under which the machine considered produced only good quality items, to the case where the items produced are systematically a mixture of good as well as defective items.

Findings

The paper first shows that for constant demand rates and exponential failure and repair time distributions of the machine, the Bielecki‐Kumar theory, adequately revisited, provides new and coherent results. For the more complex situation where the machine exhibits non‐exponential failure and repair time distributions, a simulation‐based approach is then considered. The usefulness of the proposed models is illustrated through numerical examples and sensitivity analysis.

Originality/value

Although the decisions taken in response to demands for productivity have a direct impact on product quality, management quality and production management have been traditionally treated as independent research fields. In response to this need, this paper is considered as a preliminary work in the intersection between quality control and production control issues.

Details

Journal of Quality in Maintenance Engineering, vol. 17 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 9 May 2020

Saznizam Sazmee Sinoh, Faridah Othman and Zainah Ibrahim

This paper aimed to identify critical success factors (CSFs) of building information modeling (BIM) implementation among architectural, engineering and construction (AEC) firms in…

2268

Abstract

Purpose

This paper aimed to identify critical success factors (CSFs) of building information modeling (BIM) implementation among architectural, engineering and construction (AEC) firms in Malaysia using quantitative statistical methods.

Design/methodology/approach

A questionnaire survey was conducted on the population of all AEC firms in Malaysia to rank the relative importance of 15 success factors (SFs) for BIM implementation in the firm on a 5-point Likert scale. The sampling frame consisted of all members registered with the Construction Industry Development Board (CIDB) from which 184 responses were received. The distinction between SFs and CSFs was achieved by a normalized mean cutoff value. Principal component analysis (PCA) was used to determine the relative groupings of the CSFs and structural equation modeling (SEM) were used to examine the underlying relationships between the CSF groupings.

Findings

Results of this study validated 11 previously identified CSFs for successful implementation of BIM among Malaysian AEC firms. Non-technical factors such as management, leadership and coordination were found to have higher relevance compared to technical factors such as software and hardware. Ranking analysis of the CSFs found internal coordination factors to have more importance compared to external coordination factors. PCA revealed 4 principal components (PCs) from the 11 CSFs. Together, these four PCs explain 74.3% of the variance in the data. Also, six hypothesized relationships between these groupings were supported using PLS-SEM.

Research limitations/implications

This study found an interaction between internal and external coordination factors for the implementation of BIM. Future research could explore the dynamics of both intra- and inter-firm coordination, which may create an environment suitable for BIM implementation.

Practical implications

This study provides Malaysian AEC firms with a general strategy on how to approach the implementation of BIM within the firm. In addition, government initiatives should focus on increasing BIM competency of graduates entering the workforce. This can be achieved through the development of a national BIM curriculum. Apart from that, the implementation of BIM requires a radical shift in the traditional building delivery process, not just simply acquiring new software and hardware.

Originality/value

This study revealed that the interactions between different firms at the industry level can influence successful implementation of BIM at the firm level. CSFs for BIM implementation at the firm level have been extensively studied. However, few studies exist which explore the inter-firm collaborations at the industry level that facilitate successful BIM implementation.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 9
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 17 July 2023

Mahender Singh Kaswan, Rajeev Rathi, Jiju Antony, Jennifer Cross, Jose Arturo Garza-Reyes, Mahipal Singh, Inder Preet Singh and Michael Sony

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to…

483

Abstract

Purpose

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management.

Design/methodology/approach

To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure.

Findings

The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person.

Practical implications

This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies.

Originality/value

To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.

Details

International Journal of Lean Six Sigma, vol. 15 no. 1
Type: Research Article
ISSN: 2040-4166

Keywords

Available. Content available
558

Abstract

Details

Journal of Quality in Maintenance Engineering, vol. 17 no. 3
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 6 August 2019

Daniel W.M. Chan, Timothy O. Olawumi and Alfred M.L. Ho

Some initiatives have been proposed and implemented to facilitate successful project delivery and improve coordination and collaboration in the design, construction and management…

2664

Abstract

Purpose

Some initiatives have been proposed and implemented to facilitate successful project delivery and improve coordination and collaboration in the design, construction and management phases of project development. Building information modeling (BIM) is one of those initiatives that, though recent, however, have made a significant impact on the construction industry in some countries. The paper aims to discuss this issue.

Design/methodology/approach

This paper aims to explore the critical success factors for BIM implementation in the architecture, engineering and construction industry of Hong Kong through a mixed research method (structured empirical questionnaire survey and expert interviews).

Findings

The most influential success factor relates to the client’s acceptance with BIM projects, proper organizational structure to support a BIM system within the company and financial aid from the government to set up the BIM system. The expert interviewees also stressed the need for willingness from project staff members to learn and utilize BIM.

Practical implications

This study has contributed to the establishment of more practical and effective strategies for ensuring full adoption of BIM in Hong Kong. Practical recommendations for enhancing BIM adoption in the construction industry were highlighted.

Originality/value

This study has established the key drivers leading to the success of BIM implementation in Hong Kong, as well as in the perspective of construction experts on how to enhance its uptake in construction projects.

Details

Engineering, Construction and Architectural Management, vol. 26 no. 9
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 16 June 2023

Jonathan Brodeur, Isabelle Deschamps and Robert Pellerin

This paper aims to investigate the characteristics and dynamics of the organizational changes needed to facilitate the management of an Industry 4.0 transformation in…

948

Abstract

Purpose

This paper aims to investigate the characteristics and dynamics of the organizational changes needed to facilitate the management of an Industry 4.0 transformation in manufacturing SMEs and propose an approach to manage them.

Design/methodology/approach

This research focuses on a single manufacturing SME in North America, and data were collected using a research intervention method. Data were collected through observation and intervention within the SME over 27 months.

Findings

The research has shown that organizational changes are required in manufacturing SMEs to better manage their Industry 4.0 transformation projects.

Research limitations/implications

Using the case study method limits the generalization of the results. The organizational changes observed, and their characteristics might be specific to the studied manufacturing. Although results could vary in different contexts, many manufacturing SMEs have similar characteristics to those observed in this study.

Practical implications

This research provides preliminary evidence of an iterative organizational change management approach that manufacturing SMEs must adopt to facilitate the management of their digital transformation.

Originality/value

This research provides a better understanding of how a manufacturing SME can improve its capabilities to manage its digital transformation by introducing iterative organizational changes. From these results, a link to the organizational learning literature can be drawn and developed upon.

Details

Journal of Manufacturing Technology Management, vol. 34 no. 7
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 25 September 2009

Robert Pellerin and Ali Gharbi

It is assumed that the production system responds to planned demand at the end of the expected life of each individual piece of equipment and unplanned demand triggered by…

511

Abstract

Purpose

It is assumed that the production system responds to planned demand at the end of the expected life of each individual piece of equipment and unplanned demand triggered by equipment failures. The difficulty of controlling this type of production system resides in the variable nature of the remanufacturing process. In practice, remanufacturing operations for planned demand can be executed at different rates, referring to different component replacement and repair strategies. A sub‐optimal control policy in which inventory thresholds trigger the use of different execution modes has been formulated in previous research to address this problem when unplanned demands are processed under an exponential time distribution. The aim of this study is to extend this control policy to more realistic unplanned demand arrival and processing times distributions.

Design/methodology/approach

The proposed approach is based on a combination of analytical modeling, simulation experimentation and regression analysis. The model was validated by comparing the obtained simulation results with those obtained under an exponential processing time distribution.

Findings

The results demonstrate that the structure of optimal control can be approximated by the sub‐optimal multiple hedging point policy with non‐significant cost variations.

Practical implications

The simulation results demonstrate that hedging point control policies could be applicable to a wide variety of complex remanufacturing problems in which analytical solutions are not easily obtained.

Originality/value

The paper extends the concept of hedging point policy to the control of real‐word repair and remanufacturing operations. Once calculated, the sub‐optimal policy parameters can be simply implemented by practitioners through the definition of stock‐level parameters.

Details

Journal of Quality in Maintenance Engineering, vol. 15 no. 4
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 15 April 2024

Carlos Alejandro Diaz Schery, Rodrigo Goyannes Gusmão Caiado, Soraida Aguilar Vargas and Yiselis Rodriguez Vignon

The purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building…

248

Abstract

Purpose

The purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building information modelling (BIM)-based digital transformation; second, to identify the relationship between the dimensions in favour of BIM implementation.

Design/methodology/approach

This study adopts a two-step approach to combine bibliometric and systematic literature review to explore the research topic of BIM and CSFs. Bibliometric tools such as Biblioshiny in R language and Ucinet software were applied to this study.

Findings

Besides identifying the two most influential authors (e.g. Bryde and Antwi-Afari), the key journal for disseminating articles, and the most influential countries in this discourse (e.g. Hong Kong and Australia), the study also identifies four pivotal research themes derived from the co-occurrence analysis of keywords: the fusion of sustainability and technology with BIM; practical application and its integration within construction management; innovation and engineering paradigms; and the advent of emerging technologies (e.g. Blockchain) within developing nations. Additionally, the paper introduces a comprehensive framework for selecting CSFs pertinent to BIM-centred digital transformation as viewed through the lens of dynamic capabilities.

Originality/value

This paper establishes a link between dynamic capabilities theory, CSFs, and BIM dimensions, presenting a multifaceted framework guiding future paths and offering practical insights for managerial and political decision-makers engaged in digital transformation endeavours. The study positions dynamic capabilities as pivotal, aligning digital technologies with continuous business performance, and advocates for a strategic focus on digital transformation.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 29 April 2021

Timothy O. Olawumi and Daniel W.M. Chan

The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP implementation in…

852

Abstract

Purpose

The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP implementation in Nigeria and Hong Kong. SSP is coined from the integration of digital technologies such as Building Information Modelling (BIM) to facilitate sustainability practices.

Design/methodology/approach

The study employed a quantitative research design approach using empirical questionnaire surveys to solicit the opinions of 69 and 97 construction practitioners in Nigeria and Hong Kong. Purposive and snowball sampling techniques were used to identify the potential survey respondents. The fuzzy synthetic evaluation technique was used to develop the PEMs.

Findings

The findings revealed that adequate technical expertise of the SSP processes is critical in enhancing its implementation in Hong Kong and Nigeria; as well as the provision of training programs for specialists in smart and sustainable initiatives. Meanwhile, the study's findings advocated that for an SSP-enabled construction project, its project performance is mainly influenced by the client's satisfaction level and the early involvement of the project teams.

Research limitations/implications

The study's results are limited to the Nigeria and Hong Kong construction industries.

Practical implications

Construction stakeholders such as the clients, developers, contractors can utilize the PEMs to determine and track SSP initiatives implementation in building projects in a reliable and practical way.

Originality/value

No tool has been developed for evaluating SSP initiatives at the project level in the construction industry. Using case studies of Hong Kong and Nigeria, PEM indices were developed to measure and track SSP implementation in construction projects.

Details

Engineering, Construction and Architectural Management, vol. 29 no. 3
Type: Research Article
ISSN: 0969-9988

Keywords

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