Productivity monitoring in building construction projects: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wesam Salah Alaloul ◽  
Khalid M. Alzubi ◽  
Ahmad B. Malkawi ◽  
Marsail Al Salaheen ◽  
Muhammad Ali Musarat
Keyword(s):  
Systematic Review ◽  
Construction Projects ◽  
Small Sample ◽  
Machine Learning Algorithms ◽  
Building Construction ◽  
Content Type ◽  
Construction Productivity ◽  
Automated Monitoring ◽  
Monitoring Tools ◽  
Meta Analyses

PurposeThe unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.Design/methodology/approachThis study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.FindingsA detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.Originality/valueThis review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

Factors affecting construction productivity: a 30 year systematic review

2018 ◽  
Vol 25 (7) ◽  
pp. 916-937 ◽  
Author(s):  
Abid Hasan ◽  
Bassam Baroudi ◽  
Abbas Elmualim ◽  
Raufdeen Rameezdeen
Keyword(s):  
Systematic Review ◽  
Construction Projects ◽  
Research Work ◽  
Developed Countries ◽  
Activity Level ◽  
Future Research ◽  
Content Type ◽  
Factors Affecting ◽  
Construction Productivity ◽  
Wide Range

Purpose A significant amount of work has been performed in the area of identification of factors affecting construction productivity. Previous studies have tried to determine the most important factors affecting construction productivity in different countries for a long time. As a result of continuous effort in this direction, researchers have identified a wide range of factors. While the subject area has matured, no general agreement could be made on the factors affecting construction productivity. To fill this gap, the purpose of this paper is to undertake a comprehensive systematic review of mainstream studies on factors affecting construction productivity published in the last 30 years (1986–2016). Design/methodology/approach A total of 46 articles from different sources such as journals, conference proceedings, dissertation and PhD theses were identified and thoroughly reviewed. Findings Gaps in research and practices are discussed and directions for future research have been proposed. The literature review indicates that despite noticeable differences in the socio-economic conditions across both developed countries and developing countries, an overall reasonable consensus exists on few significant factors impeding productivity. These are, namely, non-availability of materials, inadequate supervision, skill shortage, lack of proper tools and equipment and incomplete drawing and specifications. Nevertheless, implications of technology, site amenities, process studies, project culture, and impacts of physiological and psychological factors were not adequately covered in existing literature. The study also found that traditional construction projects have remained the main focus of these studies while green construction projects have been generally overlooked. Research limitations/implications The review does not include studies that report productivity at the organisational or industry level as well as total factor productivity. The scope of the review is limited to work on identification of factors affecting productivity at the activity level in construction projects. Practical implications The outcomes of this study would help researchers and practitioners by providing the findings of previous studies in a concise manner. It is also expected that presenting a deeper and wider perspective of the research work performed until now will direct a more focussed approach on productivity improvement efforts in the construction industry. Originality/value This review paper undertakes a comprehensive systematic review of studies on identification of factors affecting construction productivity published during the last three decades.

Factors affecting the delivery of optimum health and safety on construction projects during the covid-19 pandemic in Zimbabwe

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benviolent Chigara ◽  
Tirivavi Moyo
Keyword(s):  
Factor Analysis ◽  
Construction Projects ◽  
Health And Safety ◽  
Project Managers ◽  
Small Sample ◽  
Related Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Related Risk ◽  
Monitoring And Enforcement

Purpose The purpose of this study was to investigate the perceptions of construction professionals relative to factors that affect the delivery of optimum health and safety (H&S) on construction projects during the COVID-19 pandemic. Design/methodology/approach The study adopted a quantitative design which entailed the distribution of a web-based questionnaire among construction professionals, namely, architects, construction/project managers, engineers, H&S managers and quantity surveyors working for contractors and construction consultants in Zimbabwe. The data were analysed with descriptive and inferential statistics. Factor analysis was used to reveal interrelated significant sets of factors affecting the delivery of optimum H&S. Findings Factor analysis revealed nine components/factors: change and innovation-related, monitoring and enforcement-related, production-related, access to information and health service-related, on-site facilities and welfare-related, risk assessment and mitigation-related, job security and funding-related, cost-related and COVID-19 risk perception-related factors as the significant factors affecting the delivery of optimum H&S during the COVID-19 pandemic in Zimbabwe. Research limitations/implications The results highlighted the need for social dialogue among construction stakeholders to support initiatives that will enhance the delivery of H&S on construction projects. Construction stakeholders may find the results useful in highlighting the areas that need improvement to protect workers’ H&S during the pandemic. However, the small sample limits the generalisability of the results to construction sectors in other regions. Originality/value The study investigated factors affecting the delivery of optimum H&S during the COVID-19 to inform interventions to enhance H&S.

scholarly journals Machine Learning Algorithms in Cardiology Domain: A Systematic Review (Preprint)

2019 ◽  
Author(s):  
Georgy Kopanitsa ◽  
Aleksei Dudchenko ◽  
Matthias Ganzinger
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Search Strategy ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Learning System ◽  
Prisma Statement ◽  
Meta Analyses ◽  
Conference Papers ◽  
Huge Variety

BACKGROUND It has been shown in previous decades, that Machine Learning (ML) has a huge variety of possible implementations in medicine and can be very helpful. Neretheless, cardiovascular diseases causes about third of of all global death. Does ML work in cardiology domain and what is current progress in that regard? OBJECTIVE The review aims at (1) identifying studies where machine-learning algorithms were applied in the cardiology domain; (2) providing an overview based on identified literature of the state of the art of the ML algorithm applying in cardiology. METHODS For organizing this review, we have employed PRISMA statement. PRISMA is a set of items for reporting in systematic reviews and meta-analyses, focused on the reporting of reviews evaluating randomized trials, but can also be used as a basis for reporting systematic review. For the review, we have adopted PRISMA statement and have identified the following items: review questions, information sources, search strategy, selection criteria. RESULTS In total 27 scientific articles or conference papers written in English and reporting about implementation of an ML-method or algorithm in cardiology domain were included in this review. We have examined four aspects: aims of ML-systems, methods, datasets and evaluation metrics. CONCLUSIONS We suppose, this systematic review will be helpful for researchers developing machine-learning system for a medical domain and in particular for cardiology.

Medical visit time and predictors in health facilities: a mega systematic review and meta-analysis

2019 ◽  
Vol 12 (5) ◽  
pp. 373-402 ◽  
Author(s):  
Sakineh Hajebrahimi ◽  
Ali Janati ◽  
Morteza Arab-Zozani ◽  
Mobin Sokhanvar ◽  
Elaheh Haghgoshayie ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Visit Time ◽  
Medical Visit ◽  
High Quality ◽  
Content Type ◽  
Face To Face ◽  
Significant Difference ◽  
Meta Analyses

Purpose Visit time is a crucial aspect of patient–physician interaction; its inadequacy can negatively impact the efficiency of treatment and diagnosis. In addition, visit time is a fundamental demand of patients, and it is one of the rights of every patient. The purpose of this paper is to determine factors influencing the consultation length of physicians and to compare consultation length in different countries. Design/methodology/approach MEDLINE (PubMed), Web of Science, Cochrane, ProQuest, Scopus, and Google Scholar were searched. In addition, references of references were checked, and publication lists of individual scholars in the field were examined. We used data sources up to June 2018, without language restriction. We used a random-effects model for the meta-analyses. Meta-analyses were conducted using Comprehensive Meta-Analysis Version (CMA) 3.0. Findings Of 16,911 identified studies, 189 studies were assessed of which 125 cases (67 percent) have been conducted in the USA. A total of 189 studies, 164 (86.77 percent) involved face-to face-consultations. The effects of three variables, physician gender, patient gender, and type of consultation were analyzed. According to moderate and strong evidence studies, no significant difference was found in the consultation lengths of female and male doctors (Q=42.72, df=8, I2=81.27, p=0.891) and patients’ gender (Q=55.98, df=11, I2=80.35, p=0.314). In addition, no significant difference was found in the telemedicine or face-to-face visits (Q=41.25, df=5, I2=87.88, p=0.170). Originality/value In this systematic review and meta-analysis, all of physicians’ visits in 34 countries were surveyed. The evidence suggests that specified variables do not influence the length of consultations. Good relationship is essential to a safe and high-quality consultation and referral process. A high-quality consultation can improve decisions and quality of visits, treatment effectiveness, efficiency of service, quality of care, patient safety and physician and patient satisfaction.

Identifying enablers for coordination across construction supply chain processes: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qian Chen ◽  
Daniel Mark Hall ◽  
Bryan Tyrone Adey ◽  
Carl Thomas Haas
Keyword(s):  
Systematic Review ◽  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Construction Projects ◽  
Relevant Literature ◽  
Multiple Perspectives ◽  
Content Type ◽  
Chain Processes ◽  
Depth Analysis

PurposeManaging stakeholders' reciprocal interdependencies is always a challenging issue. Stakeholders need to find out different ways to communicate information and coordinate material flows during the supply chain processes. Many recent studies have advanced construction supply chain coordination from multiple perspectives. However, the field still lacks a comprehensive analysis to summarize existing research, to explicitly identify all the possible enablers for coordination and to investigate how the enablers can be carried out at the supply chain interfaces. To fill the gap, this study aims to conduct a systematic review in order to examine the relevant literature.Design/methodology/approachA systematic literature review process was conducted to identify and synthesize relevant publications (published in the past 20 years) concerning the coordination of construction supply chain functions. These publications were coded to link main research findings with specific enabler categories. In addition, how these enablers can be used at the interfaces across supply chain processes was reviewed with an in-depth analysis of reciprocal communications between stakeholders at design-to-production, production-to-logistics and production-to-site-assembly phases.FindingsThe coordination enablers were classified into three categories: (1) contractual enablers (including subtopics on relational contracts and incentive models), (2) procedural enablers (including subtopics on multiagent knowledge sharing systems and the last planner system) and (3) technological enablers (including subtopics on linked databases for design coordination, design for manufacturing software platforms and automated monitoring technologies). It was found that interfacing different functions requires a certain level of integration of stakeholders for quick response and feedback processes. The integration of novel contractual forms with digital technologies, such as smart contracts, however, was not adequately addressed in the state of the art.Research limitations/implicationsThe scope of the systematic review is limited to the static analysis of selected publications. Longitudinal studies should be further included to sharpen the inductions of enablers considering organizational changes and process dynamics in construction projects.Practical implicationsDifferent enablers for coordination were summarized in a concise manner, which provides researchers and project stakeholders with a reinforced understanding of various ways to manage reciprocal interdependencies at different supply chain interfaces.Originality/valueThis study constitutes an important input for research on the construction supply chain by illuminating the thematic topic of coordination from inductively developed review processes, which included a holistic framing of the emerging coordination enablers and their use across supply chain functions. Consequently, it closes some identified knowledge gaps and offers additional insights to improve the supply chain performance of construction projects.

scholarly journals Automatic Pulmonary Nodule Detection Applying Deep Learning or Machine Learning Algorithms to the LIDC-IDRI Database: A Systematic Review

Diagnostics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 29 ◽  
Author(s):  
Lea Pehrson ◽  
Michael Nielsen ◽  
Carsten Ammitzbøl Lauridsen
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Deep Learning ◽  
Machine Learning Algorithms ◽  
Ct Scans ◽  
Lung Nodules ◽  
Original Research ◽  
Feature Based ◽  
High Level ◽  
Meta Analyses

The aim of this study was to provide an overview of the literature available on machine learning (ML) algorithms applied to the Lung Image Database Consortium Image Collection (LIDC-IDRI) database as a tool for the optimization of detecting lung nodules in thoracic CT scans. This systematic review was compiled according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only original research articles concerning algorithms applied to the LIDC-IDRI database were included. The initial search yielded 1972 publications after removing duplicates, and 41 of these articles were included in this study. The articles were divided into two subcategories describing their overall architecture. The majority of feature-based algorithms achieved an accuracy >90% compared to the deep learning (DL) algorithms that achieved an accuracy in the range of 82.2%–97.6%. In conclusion, ML and DL algorithms are able to detect lung nodules with a high level of accuracy, sensitivity, and specificity using ML, when applied to an annotated archive of CT scans of the lung. However, there is no consensus on the method applied to determine the efficiency of ML algorithms.

Eco-innovation in hospitality research (1998-2018): a systematic review

2020 ◽  
Vol 32 (2) ◽  
pp. 913-933 ◽  
Author(s):  
Tanmay Sharma ◽  
Joseph Chen ◽  
Wan Yu Liu
Keyword(s):  
Systematic Review ◽  
Flow Diagram ◽  
Measurement Scales ◽  
Systematic Analysis ◽  
Research Attention ◽  
Content Type ◽  
The Past ◽  
Theoretical Support ◽  
Sustainability Research ◽  
Meta Analyses

Purpose Theoretical and empirical developments in academic literature have not been able to keep pace with the growing industry focus on eco-innovation and green hospitality practices. This paper aims to address this gap and provide an up-to-date review of research on eco-innovative practices in 13 leading hospitality journals over the past two decades, 1998-2018. Design/methodology/approach A systematic review that incorporates the preferred reporting items for systematic reviews and meta-analyses flow diagram is used to guide the data selection for this paper. The paper analyzes 403 studies published in 13 established hospitality journals to identify homogeneous research themes. Findings A unified conceptual framework is proposed by identifying seven research domains under eco-innovative practices. Even though research attention on green practices has increased in recent years, the development of conceptual frameworks, appropriate measurement scales and theoretical support for eco-innovative practices is warranted. Research limitations/implications Although the paper attempts to include as many environmentally related studies as possible, by being restricted to papers published only in 13 leading hospitality journals, it may not have drawn on all relevant eco-innovation studies in hospitality research. Originality/value To the knowledge of the authors, this is the first systematic analysis of hospitality research on eco-innovative practices that reviews such a large number (403) of studies spanning the past two decades (1998-2018). The most recent review by Kim et al. (2017) covered 146 green research studies published between 2000 and 2014; whereas, out of 403 studies reviewed in this study, 231 (57per cent) have been published between 2014 and 2018. This trend is indicative of the fast-evolving nature of sustainability research and the need for an up-to-date systematic review of recent literature in the field.

Effectiveness of Outdoor Exercise Parks on Health Outcomes in Older Adults—A Mixed-Methods Systematic Review and Meta-Analysis

2020 ◽  
pp. 1-13
Author(s):  
Yoke Leng Ng ◽  
Keith D. Hill ◽  
Pazit Levinger ◽  
Elissa Burton
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Older Adults ◽  
Meta Analysis ◽  
Small Sample ◽  
Activity Levels ◽  
Single Leg Stance ◽  
Small Sample Sizes ◽  
Meta Analyses

The objective of this systematic review was to examine the effectiveness of outdoor exercise park equipment on physical activity levels, physical function, psychosocial outcomes, and quality of life of older adults living in the community and to evaluate the evidence of older adults’ use of outdoor exercise park equipment. A search strategy was conducted from seven databases. Nine articles met the inclusion criteria. The study quality results were varied. Meta-analyses were undertaken for two physical performance tests: 30-s chair stand test and single-leg stance. The meta-analysis results were not statistically significant. It was not possible to conclude whether exercise parks were effective at improving levels of physical activity. The review shows that older adults value the benefits of health and social interaction from the use of exercise parks. Findings should be interpreted with caution due to the small sample sizes and the limited number of studies.

Incorporating aleatory and epistemic uncertainties in the modelling of construction duration

2020 ◽  
Vol 27 (9) ◽  
pp. 2199-2219
Author(s):  
Hassan Adaviriku Ahmadu ◽  
Ahmed Doko Ibrahim ◽  
Yahaya Makarfi Ibrahim ◽  
Kulomri Jipato Adogbo
Keyword(s):  
Construction Projects ◽  
Bayesian Model Averaging ◽  
Predictive Accuracy ◽  
Tertiary Education ◽  
Model Averaging ◽  
Building Construction ◽  
Percentage Error ◽  
Content Type ◽  
The Impact ◽  
Matlab Programming

PurposeThis study aims to develop a model which incorporates the impact of both aleatory and epistemic uncertainties into construction duration predictions, in a manner that is consistent with the nature/quality of information available about various factors which bring about uncertainties.Design/methodology/approachData relating to 178 completed Tertiary Education Trust Fund (TETfund) building construction projects were obtained from construction firms via questionnaire survey. Using 90% of the data, the model was developed in the form of a hybrid-based algorithm implemented through a suitable user-friendly graphical user interface (GUI) using MATLAB programming language. Bayesian model averaging, Monte Carlo simulation and fuzzy logic were the statistical methods used for the algorithm development, prior to its GUI implementation in MATLAB. Using the remaining 10% data, the model's predictive accuracy was assessed via the independent samples t-test and the mean absolute percentage error (MAPE).FindingsThe developed model's predictions were found not statistically different from those of actual duration estimates in the 10% test data, with a MAPE of just 2%. This suggests that the model's ability to incorporate both aleatory and epistemic uncertainties improves accuracy of duration predictions made using it.Research limitations/implicationsThe model was developed using a particular type of building projects (TETfund building construction projects), and so its use is limited to projects with characteristics similar to those used for its development.Practical implicationsThe developed model's predictions are expected to serve as a useful basis for consultancy firms and contractor organisations to make more realistic schedules and benchmark measures of construction period, thereby facilitating effective planning and successful execution of construction projects.Originality/valueThe study presented a model which permits combined manipulation of aleatory and epistemic uncertainties, hence ensuring a more realistic incorporation of uncertainty into construction duration predictions.

Optimising the safety of road transport workers on IBS building construction projects: a review

2019 ◽  
Vol 15 (6) ◽  
pp. 837-851
Author(s):  
Zul-Atfi Ismail
Keyword(s):  
Construction Projects ◽  
Safety Management ◽  
Good Condition ◽  
Road Transport ◽  
Building Construction ◽  
Quality Improvements ◽  
Content Type ◽  
Management Level ◽  
Transport Workers ◽  
Construction Specification

Purpose The purpose of this study is to develop a new information and communication technology (ICT)-based approach for optimising safety transportation according to the needs of the current industrialised building system (IBS) building construction schemes. The improper handling and information management of road transport workers appears to be a major problem in the safety of the IBS building construction industry. Transportation activity is particularly problematic for IBS building construction projects in which traffic incident and safety management level are not in good condition to match with construction specification. Design/methodology/approach A new ICT-based approach is suggested for optimising safety transportation in accordance with the needs of the current IBS building construction schemes. As a precursor to this work, the concept of road transport workers practices is reviewed and the main features of ICT tools and techniques currently being used on such projects are presented. Findings The sophisticated road transport workers system solutions is described as an essential component of this optimisation to promote long-term safety and quality improvements of IBS building construction projects. Originality/value Finally, the potential for a research framework for developing such a system in the future is presented.

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