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Reducing Low Back Pain in Construction Works; A Fuzzy Logic Approach
Oluwole H. ADEYEMI, Samuel B. ADEJUYIGBE , Salami O. ISMAILA, Adebayo. F. ADEKOYA
Pages - 1 - 14     |    Revised - 15-01-2013     |    Published - 28-02-2013
Volume - 3   Issue - 1    |    Publication Date - April 2013  Table of Contents
Fuzzy, Expert, Back, Pain, Construction
In this study, a fuzzy linguistic model was developed to reduce the risk of Low back Pain (LBP) in construction works. The primary objective was to develop a computer-based model for risk assessment capable of generating results which are comparable more efficient than those obtained manually by human experts’ calculations. The expert system used fuzzy set theory to make decisions about the level of risk associated with selected worker. Posture at work, frequency of lift and weight of load were the three constituent elements of input used while the output is risk of LBP. The result of validation shows that there was a strong positive relationship between the calculated human experts’ LBP risk and that of the model with correlation coefficient of 0.934. It can thus be concluded that though conventional mathematical modeling has been a recognized tool in ergonomic evaluation, a fuzzy model system also generate a very helpful results in, minimizing risk involved in construction tasks and, determining effective means of deploying personnel.
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1 G.C. Phyllis. “Low Back Pain”. McKesson Health Solutions LLC. Internet:www.cumc.columbia.edu/student/health/pdf/I-L/Low%20Back%20Pain.pdf. [Nov. 19, 2012].
2 Q.A. Louw, L.D. Morris1 and K. Grimmer-Somers. “The Prevalence of low back pain in Africa:a systematic review”. BMC Musculoskeletal Disorders, vol. 8(105), doi:10.1186/1471-2474-8-105, 2007.
3 J.W. Frymoyer, M.H. Pope, J.H Clements, D.G.Wilder, B. MacPherson, T. Ashikaga. “Risk factors in low-back pain”. Journal of Bone and Joint Surgery, vol. 65, pp. 213-218, 1983.
4 A. Linda, Merlino, C. John, D.A Rosecrance, M.Thomas, “Symptoms of Musculoskeletal Disorders among Apprentice Construction Workers”. Applied Occupational and Environmental Hygiene. College of Public Health, The University of Iowa, Iowa City, vol. 18(1) pp. 57–64,2003.
5 European Agency for Safety and Health at Work (EASHW). “Building in Safety - Prevention of risks in construction in practice”. European Construction Safety Summit. Euskalduna Conference Centre, Bilbao, Spain, Issue 108, 2004.
6 N.K. Akinomayowa. “Reducing repetitive strain and back pain among bricklayers” In: Buckle,P. (Ed.). Musculoskeletal Disorders at Work. London. Taylor and Francis, vol. 1, pp. 189-193,1987.
7 National Institute for Occupational Safety and Health (NIOSH). “Work Practices Guide for Manual Lifting (WPG)”, NIOSH Technical Report. U.S. Department of Health and Human Services, National Institute for Occupation, pp. 81-122, 1981.
8 H.K. Oude, B.M. Blatter, G.A. Geuskens, L.L. Koppes, P.M. Bongers. “Factors associated with the ability and willingness to continue working until the age of 65 in construction workers”. Int Arch Occup Environ Health.vol. 85(7), pp. 783-90, 2012.
9 F. Henk, M. Vander, K.S.Judith, H.W. Monique. “Musculoskeletal disorders among construction workers: a one-year follow-up study” BMC Musculoskeletal Disorders vol, 13 pp.196, 2012.
10 E.W. Bakker, A,P. Verhagen, T.E. Van, C. Lucas, B.W. Koes. “Spinal mechanical load as a risk factor for low back pain: a systematic review of prospective cohort studies”. Spine. vol.34(8). E281-93. doi: 10.1097/BRS, 2009.
11 F. Lotters, A. Burdorf, J. Kuiper, H. Miedema, “Model for the work-relatedness of low-back pain”. Scand.J Work Environ Health. vol.29, pp. 431-40, 2003.
12 D.B. Chaffin, G.B. Anderson. “Occupational Biomechanics” New York, John Wiley and Sons.1991.
13 B.R. Da-Costa, V.E. Ramos. “Risk factors for work-related musculoskeletal disorders: a systematic review of recent longitudinal studies”. American Journal of Industrial Medicine, vol.53 (3), pp. 285-323, 2010.
14 Government of Western Australia Department of Commerce Code of Practice (GWADCCP).Manual Tasks. Internet: www.docep.wa.gov.au/worksafe/PDF/.../Code_manual_handling.Nov. 26, 2012 [Nov. 27, 2012].
15 S. Lenore, J.P. Azaroff, P.William, P. Elise, R. Rick, R. Cora. “Addressing work-related injuries and illness: a guide for primary care providers in Assachusetts”. Massachusetts coalition for occupational safety and health (massCOSH). (617) 825-SAFE, 2004.
16 T. Sturmer, S. Luessenhoop, A. Neth, M. Soyka, W. Karmaus, R.Toussaint, T.R. Liebs, U.Rehder. “Construction work and low back disorder. Preliminary findings of the Hamburg construction worker study”. Spine, vol. 22 (21), pp. 2558-2563, 1997.
17 Institution for Occupational Safety and Health (IOSH). “MusculoSkeletal Disorders”. Internet:www.iosh.co.uk/books_and_resources/our_oh_toolkit/musculoskeletal_disorders.aspx. Sept.5, 2012 2012, [ Sept. 6, 2012].
18 National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS). “Back Pain”.Internet: www.niams.nih.gov/health_info/Back_Pain/back_pain_ff.asp. Sept. 8, 2009, [July 2,2011].
19 T.R. Waters, S.L. Baron, L.A. Piacitelli, V.P. Anderson, T. Skov, M. Haring-Sweeney. The revised NIOSH lifting equation. A cross-sectional epidemiologic study. Spine, vol. 24(4),pp.386-94, 1999.
20 S. Boda, P. Bhoyar, A.Garg. “Validation of Revised NIOSH Lifting Equation and 3D SSP Model to Predict Risk of Work-Related Low Back Pain”. Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting – 2010, San Francisco, Sept. 27 – Oct. 1, 2010.
21 R. Michael “NIOSH lifting equations”: Q & A. Internet:www.ergoweb.com/news/detail.cfm?id=566. May 2, 2012 [July, 14, 2012].
22 T.R. Waters, M.L. Lu, L.A. Piacitelli, D. Werren, J.A. Deddens. “Efficacy of the revised NIOSH lifting equation to predict risk of low back pain due to manual lifting: expanded cross-sectional analysis”. J Occup Environ Med. vol. 53(9) pp. 1061-7, 2011.
23 R.H. Westgaard. “Work-related musculoskeletal complaints: some ergonomics challenges upon the start of a new century”. Appl. Ergon. vol. 31 pp. 569-80, 2000.
24 S. Aman, B.D. Gupta, A. Sneh, “Minimizing MusculoSkeletal Disorders in Lathe Machine Workers”. International Journal of Ergonomics, vol. 1(2) pp, 20, 2011.
25 L. Crumpton, P. McCauley-Bell, T. Soh, “Modeling overall level of fatigue using linguistic modeling and fuzzy set theory”. Applied Ergonomics. 1997.
26 M. Abdullah, and H. Tahir, “Modeling for Uncertainty Assessment in Human Health Risk Quantification: A Fuzzy Based approach”. International Environmental Modelling and Software Society (iEMSs). Fifth Biennial Meeting. David A. Swayne, Wanhong Yang, A. A. Voinov, A.Rizzoli, T. Filatova (Eds.) Ottawa, Canada. S.O. 05, 2011.
27 D.J. Fonseca, T.W. Merritt, G.P. Moynihan, “Fuzzy Set Theory for Cumulative Trauma Prediction. Department of Industrial Engineering, the University of Alabama, Tuscaloosa.Mathware & Soft Computing, vol 8, pp, 129-135. 2011.
28 M.P. Kevin. “Fuzzy Control”. Department of Electrical Engineering The Ohio State University.Addison Wesley Longman, Inc., pp. 123, 1998.
29 L. A. Zadeh. “Probability measures and fuzzy events”. Journal of Mathematical Analysis and Applications. vol. 23, pp. 421, 1968.
30 MathWorks. “Fuzzy logic toolbox user’s guide (version 2)”. Internet:www.mathworks.com/help/pdf_doc/fuzzy/fuzzy.pdf. July 2002. [Sept.12, 2011].
31 A. Bansal. “Trapezoidal Fuzzy Numbers (a,b,c,d): Arithmetic Behavior”. International Journal of Physical and Mathematical Sciences, ISSN: 20101791, pp. 39-44, 2011.
32 J. S. Oguntoyinbo, O.O. Areola, M. Filani. “A Geography of Nigerian development” [2nd ed.]Heinemann Educational Books (Nig.) Ltd., Ibadan, Nigeria, pp. 45-70, 1983.
33 T. Waters, V. Putz-Anderson, A. Garg. “Application manual for the revised NIOSH lifting equation”. Cincinnati, OH; DHHS (NIOSH) Publication no. 94-110, 1994.
34 S. Y. Ramjeet, P.S. Vijendra. “Modeling academic performance evaluation using soft computing techniques; a fuzzy logic approach”. International Journal on Computer Science and Engineering (IJCSE), vol. 3(2), pp. 676-686, 2011.
35 T.R. Waters, V. Putz-Anderson, A. Garg, L.J. Fine. “Revised NIOSH equation for the design and evaluation of Manual lifting tasks”. Ergonomics, vol. 36, pp. 749-776, 1993.
36 A. M. Genaidy, W. Karwowski, D. Christensen, C.Vogiatzis, N. Deraiseh, A. Prins. What is "heavy"? Ergonomics, vol. 41(4), pp. 420-32, 1998.
37 S. Sumathi and P. Surekha “Fuzzy Inference and Expert Systems” Taylor and Francis group,LLC, DOI: 10.1201/9781439809037-c7, pp 261–306, 2010
38 J. Yen, I.R. Langar. Fuzzy logic: intelligence, control and information. Upper Saddle River(NJ). Prentice – Hall, 1999.
Mr. Oluwole H. ADEYEMI
Federal University of Agriculture, Abeokuta - Nigeria
Professor Samuel B. ADEJUYIGBE
Federal University of Agriculture, Abeokuta - Nigeria
Dr. Salami O. ISMAILA
Federal University of Agriculture, Abeokuta - Nigeria
Dr. Adebayo. F. ADEKOYA
Federal University of Agriculture, Abeokuta - Nigeria