A fuzzy risk assessment approach for occupational hazards in the construction industry

The techniques in the construction industry have been improved due to the rapid development of science and technology. However, the constructional hazards are not decreased as expected. To reduce or prevent occupational hazards in the construction industry, a fuzzy risk assessment method was proposed to provide a prevention and improvement technique against occupational hazards. This method used two-stage quality function deployment (QFD) tables to represent the relationships among construction items, hazard types and hazard causes. A fuzzy analytic network process (ANP) method was developed to identify important hazard types and hazard causes. Failure modes and effect analysis (FMEA) was performed to assess the risk value of hazard causes based on the fuzzy inference approach. The proposed method was applied to a telecom engineering company in southern Taiwan. The performance evaluation result indicated that this method can provide satisfactory risk assessment values of hazard causes and relevant improvement strategies.

[1]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[2]  C G Drury,et al.  Human Factors in Consumer Product Accident Investigation , 1983, Human factors.

[3]  R. P. Mohanty,et al.  A fuzzy ANP-based approach to R&D project selection: A case study , 2005 .

[4]  Chia-Fen Chi,et al.  In-depth accident analysis of electrical fatalities in the construction industry , 2009 .

[5]  Xinggang Luo,et al.  A QFD-based optimization method for a scalable product platform , 2010 .

[6]  Dan Petersen,et al.  Techniques of safety management , 1971 .

[7]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004 .

[8]  M. Mousavi,et al.  Fuzzy inference system to modeling of crossflow milk ultrafiltration , 2008, Appl. Soft Comput..

[9]  Luiz Fernando Capretz,et al.  Fuzzy inference system for software product family process evaluation , 2008, Inf. Sci..

[10]  Chia-Fen Chi,et al.  Fatal occupational injuries in Taiwan -- Relationship between fatality rate and age , 1997 .

[11]  Deok-Hwan Kim,et al.  Robustness indices and robust prioritization in QFD , 2009, Expert Syst. Appl..

[12]  O. N. Aneziris,et al.  Assessment of occupational risks in an aluminium processing industry , 2010 .

[13]  Jin Wang,et al.  Modified failure mode and effects analysis using approximate reasoning , 2003, Reliab. Eng. Syst. Saf..

[14]  Hossein Nezamabadi-pour,et al.  Evaluation of general-purpose lifters for the date harvest industry based on a fuzzy inference system , 2008 .

[15]  M V Aaltonen,et al.  Occupational injuries in the Finnish furniture industry. , 1996, Scandinavian journal of work, environment & health.

[16]  Chia-Fen Chi,et al.  Accident patterns and prevention measures for fatal occupational falls in the construction industry. , 2005, Applied ergonomics.

[17]  Da Ruan,et al.  Quality function deployment implementation based on analytic network process with linguistic data: An application in automotive industry , 2005, J. Intell. Fuzzy Syst..

[18]  René V. Mayorga,et al.  Supply chain management: a modular Fuzzy Inference System approach in supplier selection for new product development , 2008, J. Intell. Manuf..

[19]  Ching-Hsue Cheng,et al.  A risk assessment methodology using intuitionistic fuzzy set in FMEA , 2010, Int. J. Syst. Sci..

[20]  Qi Liu,et al.  Ranking fuzzy numbers with an area method using radius of gyration , 2006, Comput. Math. Appl..

[21]  Chiu-Chi Wei,et al.  Failure mode and effects analysis using grey theory , 2001 .

[22]  Chau-Chen Torng,et al.  Prioritization Determination of Project Tasks in QFD Process Using Design Structure Matrix , 2011 .

[23]  Sevin Sozer,et al.  Product planning in quality function deployment using a combined analytic network process and goal programming approach , 2003 .

[24]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[25]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[26]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[27]  Bojan Srdjevic,et al.  Fuzzy AHP Assessment of Water Management Plans , 2008 .

[28]  Yoji Akao,et al.  Quality Function Deployment : Integrating Customer Requirements into Product Design , 1990 .

[29]  Ioannis A. Papazoglou,et al.  Occupational risk of tunneling construction , 2010 .

[30]  Chia-Wen Liao,et al.  Data mining for occupational injuries in the Taiwan construction industry , 2008 .

[31]  Metin Dağdeviren,et al.  Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008, Inf. Sci..

[32]  Cheng-Ru Wu,et al.  A Fuzzy ANP-based Approach to Evaluate Medical Organizational Performance , 2008 .

[33]  Carl A. Nelson,et al.  Pre-operative ordering of minimally invasive surgical tools: A fuzzy inference system approach , 2008, Artif. Intell. Medicine.

[34]  Harun Resit Yazgan,et al.  Selection of dispatching rules with fuzzy ANP approach , 2011 .

[35]  Andrew Hale,et al.  Quantified risk assessment for fall from height , 2008 .

[36]  Jack H. Willenbrock,et al.  Conceptual Framework for Computer‐Based, Construction Safety Control , 1990 .

[37]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004, Int. J. Intell. Syst..

[38]  Aminah Robinson Fayek,et al.  Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP , 2010 .

[39]  Thanet Aksorn,et al.  Critical success factors influencing safety program performance in Thai construction projects , 2008 .

[40]  Jian-Bo Yang,et al.  Development of a fuzzy FMEA based product design system , 2008 .

[41]  Sadi Assaf,et al.  Safety assessment in the built environment of Saudi Arabia , 1998 .

[42]  Latif Salum,et al.  Modern QFD-based requirements analysis for enterprise modelling: enterprise-QFD , 2009, Int. J. Comput. Integr. Manuf..

[43]  Jan Jantzen,et al.  Foundations of fuzzy control , 2007 .

[44]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[45]  Daniel Fong,et al.  Factors affecting safety performance on construction sites , 1999 .

[46]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[47]  Zeki Ayağ,et al.  An intelligent approach to ERP software selection through fuzzy ANP , 2007 .

[48]  A. M. Rawani,et al.  Linking Company with Customers and Competitors: A Comprehensive QFD Model and Its Post-Matrix Analysis , 2009 .

[49]  H. Schneider Failure mode and effect analysis : FMEA from theory to execution , 1996 .

[50]  John Bowles,et al.  An assessment of RPN prioritization in a failure modes effects and criticality analysis , 2003, Annual Reliability and Maintainability Symposium, 2003..

[51]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[52]  Tariq S. Abdelhamid,et al.  Identifying Root Causes of Construction Accidents , 2001 .

[53]  James L. Bossert,et al.  Quality Function Deployment , 2021, Quality Function Deployment.

[54]  Ruey Huei Yeh,et al.  FUZZY ASSESSMENT OF FMEA FOR A SEWAGE PLANT , 2007 .

[55]  İhsan Yüksel,et al.  A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system , 2008 .