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Jiangdong, Bao
Publications (4 of 4) Show all publications
Jiangdong, B. (2018). Application of Statistical Methods on Occupational Health and Safety Management in the Mining Industry in Ezhou City, China. (Doctoral dissertation). Luleå: Luleå University of Technology
Open this publication in new window or tab >>Application of Statistical Methods on Occupational Health and Safety Management in the Mining Industry in Ezhou City, China
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Chinaʹs mining enterprises are confronted with insufficient safety investments, insufficientsafety benefits, recurrent occupational diseases and accidents, low level of safety riskmanagement, and many employee complaints, that seriously affect the economicdevelopment and the sustainable development of the country. Selection of scientific, accurateand comprehensive evaluation methods of all aspects of occupational health and safetymanagement will directly affect the evaluation results and then the direction of improvement;which is greatly needed.

The aim of this thesis is twofold: one aim is to test and analyze a set of evaluationmethods that provide different perspectives on how occupational health and safetymanagement really works in the mining industry in Ezhou City, China. The other aim is toexplore a set of comprehensive evaluation methods that are suitable for occupational healthand safety management in the industries as a whole.

This thesis is based on the theory of Multi Objective Decision Making and Grey System,and is broken down into three phases including:

  •  The first phase of my study: to describe the applications of the methods in five aspects ofoccupational health and safety in the mining industry in Ezhou City, China. This isshown in five articles and Chapter 1‐5.
  •  The second phase: to present some suggestions of improvements for the development ofthe occupational health and safety in the mining industry in Ezhou City, China. This ispresented in Chapter 6 in my study.
  •  The third phase: to explore a set of comprehensive evaluation methods that are suitablefor the occupational health and safety management in the industries. This is also shownin Chapter 6 in my study.

In this thesis I mainly used six methods to evaluate occupational health and safetymanagement and the suitability of them for this type of research as well as in other types inindustrial activity. The six methods included in my research are: entropy weight(EW), failuremode and effect analysis (FMEA), improved analytic hierarchy process (AHP), dataenvelopment analysis (DEA), grey relational analysis (GRA) and 2‐tuple linguisticinformation (2‐TLI). The results of the analysis showed that:

  •  EW can be well used to evaluate the multi indicators of occupational health and safetymanagement, and can be extended to other areas such as safety management evaluation,the quality of the project, project forecasting and other industrial activities;
  •  FMEA has been proved practical, simple and less costly in the perspective of riskmanagement, occupational health and safety management, identification and control ofenvironmental factors in enterprises, and quality key point preventive control in allindustrial activities;
  •  Improved AHP is practical, simple and less costly for multi objective and multi criteriadecision making problems in all industrial activities;
  •  DEA is special for production efficiency and can well estimate the effective productionfrontier by calculating the history data of the financial department, and embodies itsunique advantages in dealing with multi indicator inputs and multi indicator outputs inall industrial activities;
  •  GRA does not require too much sample size and any typical distribution regulation; thecalculated amount of data is relatively small, and the results would always be in goodagreement with the qualitative analysis, so it is quite suitable for measuring the degree ofassociation between factors for indicator evaluation according to their similarity ordissimilarity. GRA can cope with the types of problem associated with comparisonbetween evaluation objects and the comparison object in all industrial activities;
  •  2‐TLI is special for language information and can provide the basis for multi‐attributedecision analysis in spite of large amounts of calculation in all industrial activities.

On the whole, each method has its advantages and disadvantages, and the key to judgingwhether a method is most suitable is if it can withstand the validation of practice. Anyhow,the main contribution of this research is that it has systematically tested and verified a set ofstatistical methods applied in a mining industry in Ezhou, China, and explored a set ofstatistical methods utilized in occupational health and safety management in industrialactivities. Additionally, another contribution of this research is that it has provided a directionfor improvement of sustainable development.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2018
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Human Work Sciences
Identifiers
urn:nbn:se:ltu:diva-69375 (URN)978-91-7790-165-5 (ISBN)978-91-7790-166-2 (ISBN)
Public defence
2018-09-21, A110, Luleå, 12:30 (English)
Opponent
Supervisors
Available from: 2018-06-12 Created: 2018-06-12 Last updated: 2019-04-09Bibliographically approved
Jiangdong, B., Johansson, J. & Zhang, J. (2017). An occupational disease assessment of the mining industry's occupational health and safety management system based on FMEA and an improved AHP model. Sustainability, 9(1), Article ID 94.
Open this publication in new window or tab >>An occupational disease assessment of the mining industry's occupational health and safety management system based on FMEA and an improved AHP model
2017 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 9, no 1, article id 94Article in journal (Refereed) Published
Abstract [en]

In order to effectively analyze, control, and prevent occupational health risk and ensure the reliability of the weight, a method based on FMEA (failure mode and effects analysis) and an improved AHP (analytic hierarchy process) model was established. The occupational disease of the occupational health and safety management system (OHSAS18001) of the mining industry in the southwest of Hubei Province is taken as an example, the three most significant risk factors (dust, noise, and gas) are selected as the research objects, the FMEA method is used, an expert questionnaire is carried out to establish the comprehensive assessment matrix of each indicator according to the RPN (risk priority number) value, and, finally, a case study is conducted through the FMEA and the improved AHP model The results show that the occupational disease of the mining industry's occupational health and safety management system belongs to a "general" grade, which is in line with the physical examination results of the Center for Disease Control and Prevention of Ezhou City in 2015. The improved AHP and FMEA comprehensive assessment model of occupational disease is proved feasible. This method can be incorporated in the process management of the enterprise for the purpose of occupational disease prevention in advance and continuous improvement on the occupational health and safety of employees. Additionally, the area research on this integrated model should be optimized continually in actual situations.

Place, publisher, year, edition, pages
MDPI, 2017
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Work Environment
Identifiers
urn:nbn:se:ltu:diva-61971 (URN)10.3390/su9010094 (DOI)000394842700092 ()2-s2.0-85011026199 (Scopus ID)
Note

Validerad; 2017; Nivå 2; 2017-02-13 (andbra)

Available from: 2017-02-13 Created: 2017-02-13 Last updated: 2018-11-16Bibliographically approved
Jiangdong, B., Johansson, J. & Jingdong, Z. (2017). Comprehensive Evaluation on Employee Satisfaction of Mine Occupational Health and Safety Management System based on Improved AHP and 2-Tuple Linguistic Information. Sustainability, 9(1), Article ID 133.
Open this publication in new window or tab >>Comprehensive Evaluation on Employee Satisfaction of Mine Occupational Health and Safety Management System based on Improved AHP and 2-Tuple Linguistic Information
2017 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 9, no 1, article id 133Article in journal (Refereed) Published
Abstract [en]

In order to comprehensively evaluate the employee satisfaction of mine occupational health and safety management system, an analytic method based on fuzzy analytic hierarchy process and 2-tuple linguistic model was established. Based on the establishment of 5 first-grade indicators and 20 second-grade ones, method of improved AHP and the time-orderedWeighted Averaging Operator (T-OWA) model is constructed. The results demonstrate that the employee satisfaction of the mine occupational health and safety management system is of the ‘general’ rank. The method including the evaluation of employee satisfaction and the quantitative analysis of language evaluation information ensures the authenticity of the language evaluation information

Place, publisher, year, edition, pages
MDPI, 2017
Keywords
employee satisfaction, mine, OHSAS18001, improved AHP, 2-tuple linguistic information
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Work Environment
Identifiers
urn:nbn:se:ltu:diva-61933 (URN)10.3390/su9010133 (DOI)000394842700131 ()2-s2.0-85011255986 (Scopus ID)
Note

Validerad; 2017; Nivå 2; 2017-02-14 (andbra)

Available from: 2017-02-09 Created: 2017-02-09 Last updated: 2019-09-13Bibliographically approved
Jiangdong, B., Johansson, J. & Jingdong, Z. (2017). Research on the Sustainable Development of Mining Industry OHSAS18001 Based on IFE and EFE Matrix. International Journal of Engineering and Technology, 9(6), 485-491
Open this publication in new window or tab >>Research on the Sustainable Development of Mining Industry OHSAS18001 Based on IFE and EFE Matrix
2017 (English)In: International Journal of Engineering and Technology, ISSN 1793-8236, E-ISSN 1793-8244, Vol. 9, no 6, p. 485-491Article in journal (Refereed) Published
Abstract [en]

The sustainable development of mining occupational health and safety management system is inseparable from its internal and external environment. Through IFE and EFE matrix models, the key internal and external factors affecting the sustainable development of some mining in the Southwest of the Hubei Province are analyzed. Then entropy method is adopted to determine the weight of each key factor. According to the weighted total score ranking, the most important internal and external key factors affecting China's sustainable development include the following: not enough detailed degree of hazard identification, not enough safety awareness, lack of contingency plans to assess the timely exercise, not enough deep mining of internal audit, impact of relevant laws and regulations on enterprises, impact of the interested parties on the changing requirements of the enterprise, risk management brought by interested parties, risk management of product life cycle, and changes in the market environment for enterprises to put forward new requirements. In this paper, combined with OHSAS18001 operation condition of the mining in the Southwest of Hubei Province, seven suggestions for improvement are put forward which provide valuable reference for the sustainable development of mining OHSAS18001. 

Place, publisher, year, edition, pages
IACSIT International Association of Computer Science and Information Technology Press, 2017
Keywords
OHSAS18001, sustainable development, IFE and EFE Matrix, entropy method
National Category
Engineering and Technology Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Work Environment
Identifiers
urn:nbn:se:ltu:diva-63233 (URN)10.7763/IJET.2017.V9.1021 (DOI)
Note

Validerad;2018;Nivå 1;2018-04-18 (andbra)

Available from: 2017-05-04 Created: 2017-05-04 Last updated: 2018-11-20Bibliographically approved
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