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Open Access
Article
Publication date: 22 November 2022

Kedong Yin, Yun Cao, Shiwei Zhou and Xinman Lv

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems…

Abstract

Purpose

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Design/methodology/approach

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Findings

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

Originality/value

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.

Details

Marine Economics and Management, vol. 5 no. 2
Type: Research Article
ISSN: 2516-158X

Keywords

Article
Publication date: 29 January 2024

Hazwani Shafei, Rahimi A. Rahman and Yong Siang Lee

Policymakers are developing national strategic plans to encourage organizations to adopt Construction 4.0 technologies. However, organizations often adopt the recommended…

Abstract

Purpose

Policymakers are developing national strategic plans to encourage organizations to adopt Construction 4.0 technologies. However, organizations often adopt the recommended technologies without aligning with organizational vision. Furthermore, there is no prioritization on which Construction 4.0 technology should be adopted, including the impact of the technologies on different criteria such as safety and health. Therefore, this study aims to evaluate Construction 4.0 technologies listed in a national strategic plan that targets the enhancement of safety and health.

Design/methodology/approach

A list of Construction 4.0 technologies from a national strategic plan is evaluated using the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method. Then, the data are analyzed using reliability, fuzzy TOPSIS, normalization, Pareto, sensitivity, ranking and correlation analyses.

Findings

The analyses identified six Construction 4.0 technologies that are critical in enhancing safety and health: Internet of Things, autonomous construction, big data and predictive analytics, artificial Intelligence, building information modeling and augmented reality and virtualization. In addition, six pairs of Construction 4.0 technologies illustrate strong relationships.

Originality/value

This study contributes to the existing body of knowledge by ranking a list of Construction 4.0 technologies in a national strategic plan that targets the enhancement of safety and health. Decision-makers can use the study findings to prioritize the technologies during the adoption process. Also, to the best of the authors’ knowledge, this study is the first to evaluate the impact of Construction 4.0 technologies listed in a national strategic plan on a specific criterion.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 7 March 2022

Huiying Gao, Shan Lu and Xiaojin Kou

The purpose of this study is to identify medical service quality factors that patients care about and establish a medical service quality evaluation index system by analyzing…

Abstract

Purpose

The purpose of this study is to identify medical service quality factors that patients care about and establish a medical service quality evaluation index system by analyzing online reviews of medical and healthcare service platforms in combination with a questionnaire survey.

Design/methodology/approach

This study adopts a combination of review mining and questionnaire surveys. The latent Dirichlet allocation (LDA) model was used to mine hospital reviews on the medical and healthcare service platform to obtain the medical service quality factors that patients pay attention to, and then the questionnaire was administered to obtain the relative importance of these factors to patients' perception of service quality. Finally, the index system was established.

Findings

The medical service quality factors patients care about include medical skills and ethics, registration service, operation effect, consulting communication, drug therapy, diagnosis process and medical equipment.

Research limitations/implications

The identification of medical service quality factors provides a reference for medical institutions to improve their medical service quality.

Originality/value

This study uses online review mining to obtain medical service quality factors from the perspective of patients, which is different from previous methods of obtaining factors from relevant literature or expert judgments; then, based on the mining results, a medical service quality evaluation index system is established by using questionnaire data.

Details

Internet Research, vol. 32 no. 5
Type: Research Article
ISSN: 1066-2243

Keywords

Open Access
Article
Publication date: 17 December 2019

Yin Kedong, Shiwei Zhou and Tongtong Xu

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The…

1290

Abstract

Purpose

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

Design/methodology/approach

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Findings

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

Originality/value

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.

Details

Marine Economics and Management, vol. 2 no. 1
Type: Research Article
ISSN: 2516-158X

Keywords

Article
Publication date: 21 May 2020

Zul-Atfi Ismail

The current maintenance management method affects the efficiency of the complex, high-rise industrialised building system (IBS) building maintenance management projects in…

Abstract

Purpose

The current maintenance management method affects the efficiency of the complex, high-rise industrialised building system (IBS) building maintenance management projects in Malaysia. The usage of a conventional system (paper-based reports/unsystematic database) has various drawbacks, such as IBS component aesthetic and structural defects which occur repeatedly in the building and maintenance of conventional building, lack of integration between maintenance systems and lack of the intelligent capabilities of linking defect diagnosis operations in maintenance affecting various building elements with IBS component defect knowledge. Thus, the purpose of this paper is to focus on the development of a mechanism to improve IBS component defect knowledge transfer in IBS building maintenance projects through the integration of building information modelling (BIM).

Design/methodology/approach

Eight clients/maintenance contractors were selected based on the major problems of using a conventional system to investigate the maintenance management practices in each complex and high-rise IBS building.

Findings

The findings indicated that several computerised systems such as Building Automation System and Supervisory Control and Data Acquisition System are used by a client/maintenance contractor. Moreover, BIM technology awareness was found to be limited, with no implementation in IBS building maintenance till now. The results of this case study were used as a foundation for the development of a prototype system using Computerised Maintenance Management System, Expert System and BIM.

Originality/value

The development of this new system improves IBS component diagnosis knowledge integration with the BIM technology.

Details

International Journal of Building Pathology and Adaptation, vol. 39 no. 1
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 25 July 2019

Yinhua Liu, Rui Sun and Sun Jin

Driven by the development in sensing techniques and information and communications technology, and their applications in the manufacturing system, data-driven quality control…

Abstract

Purpose

Driven by the development in sensing techniques and information and communications technology, and their applications in the manufacturing system, data-driven quality control methods play an essential role in the quality improvement of assembly products. This paper aims to review the development of data-driven modeling methods for process monitoring and fault diagnosis in multi-station assembly systems. Furthermore, the authors discuss the applications of the methods proposed and present suggestions for future studies in data mining for quality control in product assembly.

Design/methodology/approach

This paper provides an outline of data-driven process monitoring and fault diagnosis methods for reduction in variation. The development of statistical process monitoring techniques and diagnosis methods, such as pattern matching, estimation-based analysis and artificial intelligence-based diagnostics, is introduced.

Findings

A classification structure for data-driven process control techniques and the limitations of their applications in multi-station assembly processes are discussed. From the perspective of the engineering requirements of real, dynamic, nonlinear and uncertain assembly systems, future trends in sensing system location, data mining and data fusion techniques for variation reduction are suggested.

Originality/value

This paper reveals the development of process monitoring and fault diagnosis techniques, and their applications in variation reduction in multi-station assembly.

Details

Assembly Automation, vol. 39 no. 4
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 3 October 2018

Choon Cheng, Anthony Scott, Vijaya Sundararajan and Jongsay Yong

Researchers, policymakers and hospital managers often encounter numerous quality measures when assessing hospital quality. The purpose of this paper is to address the challenge of…

Abstract

Purpose

Researchers, policymakers and hospital managers often encounter numerous quality measures when assessing hospital quality. The purpose of this paper is to address the challenge of summarising, interpreting and comparing multiple quality measures across different quality dimensions by proposing a simple method of constructing a composite quality index. The method is applied to hospital administrative data to demonstrate its use in analysing hospital performance.

Design/methodology/approach

Logistic and fixed effects regression analyses are applied to secondary admitted patient data from all hospitals in the state of Victoria, Australia for the period 2000/2001–2011/2012.

Findings

The derived composite quality index was used to rank hospital performance and to assess changes in state-wide average hospital quality over time. Further regression analyses found private hospitals, day hospitals and non-acute hospitals were associated with higher composite quality, while small hospitals were associated with lower quality.

Practical implications

The method will enable policymakers and hospital managers to better monitor the performance of hospitals. It allows quality to be related to other attributes of hospitals such as size and volume, and enables policymakers and managers to focus on hospitals with relevant characteristics such that quantity and quality changes can be better understood, monitored and acted upon.

Originality/value

A simple method of constructing a composite quality is an indispensable practical tool in tracking the quality of hospitals when numerous measures are used to capture different aspects of quality. The derived composite quality can be used to summarise hospital performance and to identify factors associated with quality via regression analyses.

Details

Journal of Health Organization and Management, vol. 32 no. 7
Type: Research Article
ISSN: 1477-7266

Keywords

Article
Publication date: 5 March 2020

Zul-Atfi Ismail

The purpose of this paper is to discuss the system approaches and their application for managing IBS building in the context of Malaysian maintenance practice. Currently, the…

Abstract

Purpose

The purpose of this paper is to discuss the system approaches and their application for managing IBS building in the context of Malaysian maintenance practice. Currently, the maintenance management method has affected the efficiency of the complex and high-rise industrialised building system (IBS) building maintenance management in Malaysia. Many issues such as poor service delivery, limited budgets, less competent staff and defect repetition emerged because of the usage of conventional method applications (paper-based form). The data revealed that the practice of maintenance management for complex and high-rise IBS buildings needs to be digitalised.

Design/methodology/approach

This qualitative research was carried out by conducting literature review and semi-structured interviews. Eight major maintenance organisations were selected based on a conventional method of practice in managing maintenance for complex and high-rise IBS buildings. The computerised system was developed using a data flow diagram and coding. Subsequently, the prototype system was tested.

Findings

By having this prototype system, the defect diagnosis and decision-making process become easier, faster and cost-effective in facilitating the maintenance assessment, defect diagnosis and control in relation to IBS building structure components.

Originality/value

In conclusion, the prototype system may improve the effectiveness of maintenance management practices for IBS building structure components in reducing defect design risks such as design calculation error to provide high-quality IBS building structure components for a safe and healthy environment.

Details

Facilities , vol. 39 no. 3/4
Type: Research Article
ISSN: 0263-2772

Keywords

Article
Publication date: 1 July 2000

Basim Al‐Najjar and Imad Alsyouf

In manufacturing systems intelligent techniques are being used to integrate and interpret data from multiple sensors to predict tool wear and tool life. Less attention is devoted…

2142

Abstract

In manufacturing systems intelligent techniques are being used to integrate and interpret data from multiple sensors to predict tool wear and tool life. Less attention is devoted to developments of integrated condition monitoring systems, which enable the user to evaluate a multi‐variant system based on the data collected from, e.g. maintenance, quality, production, etc. In this paper we discussed different approaches of how to keep availability, quality and productivity at high levels. Also, we proposed a new approach for an expert system concept, which is characterised by using a total quality maintenance (TQMain) concept; having a common database, and a continuously improved knowledge base with an intelligent inference engine. It can enhance data reliability, decision making certainty, remove the redundancy in monitoring systems, and allow the user to detect and eliminate reasons behind variations through effective diagnosis and prognosis. This will enhance the performance‐efficiency, availability and quality rate, i.e. overall equipment effectiveness of the manufacturing systems.

Details

Integrated Manufacturing Systems, vol. 11 no. 4
Type: Research Article
ISSN: 0957-6061

Keywords

Article
Publication date: 14 August 2007

Even J. Lanseng and Tor W. Andreassen

The purpose of this paper is to examine the introduction of self‐service technology (SST) in health diagnosis as a means to reduce costs and improve quality in the health care…

5552

Abstract

Purpose

The purpose of this paper is to examine the introduction of self‐service technology (SST) in health diagnosis as a means to reduce costs and improve quality in the health care sector – at the same time.

Design/methodology/approach

A survey with an internet‐based medical self‐diagnosis application as the focal technology is conducted. The research hypotheses are tested by using a scenario and questionnaire approach, in which respondents prior to responding read a scenario.

Findings

To test the hypotheses, structural equation modeling using LISREL was performed. It was found that the Technology Acceptance Model (TAM) for users, described according to the Technology Readiness Index (TRI) as pioneers, has a very good ability to predict future behavioral intent. TAM has an excellent capability to predict future behavioral intent of this new application in this new context, i.e. health care services.

Research limitations/implications

The paper only tests TAM for a given population described as pioneers. Future research should test for other categories of users, as this may impact different drivers of behavioral intent/adoption in the TAM.

Practical implications

For policy makers (e.g. politicians), this study has great implications as it documents a methodology of testing a population's receptiveness to new technology – technology that can greatly improve quality, costs and satisfaction issues with government services and reduce risk when implementing the new service.

Originality/value

In the context of increased healthcare spending and possibly unsustainable healthcare‐funding models, the current research investigated people's readiness and attitude toward performing self‐diagnosis which may offer a patient‐centered access to health services. To the best of the authors' knowledge, this has never been done before.

Details

International Journal of Service Industry Management, vol. 18 no. 4
Type: Research Article
ISSN: 0956-4233

Keywords

1 – 10 of over 6000