A Combinatorial Approach to Planning Manufacturing Safety Programme
Authors: Kazeem A. Adebiyi
Abstract:
Despite many success stories of manufacturing safety, many organizations are still reluctant, perceiving it as cost increasing and time consuming. The clear contributor may be due to the use of lagging indicators rather than leading indicator measures. The study therefore proposes a combinatorial model for determining the best safety strategy. A combination theory and cost benefit analysis was employed to develop a monetary saving / loss function in terms value of preventions and cost of prevention strategy. Documentations, interviews and structured questionnaire were employed to collect information on Before-And-After safety programme records from a Tobacco company between periods of 1993-2001(for pre-safety) and 2002-2008 (safety period) for the model application. Three combinatorial alternatives A, B, C were obtained resulting into 4, 6 and 4 strategies respectively with PPE and Training being predominant. A total of 728 accidents were recorded for a 9 year period of pre-safety programme and 163 accidents were recorded for 7 years period of safety programme. Six preventions activities (alternative B) yielded the best results. However, all the years of operation experienced except year 2004. The study provides a leading resources for planning successful safety programme
Keywords: Combination, Manufacturing Safety, Monetary Savings, Prevention Strategies.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334682
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1252References:
[1] Fullarton, C. and M. Stokes. 2007. "The Utility of a Workplace Injury Instrument in Prediction of Workplace Injury". Accident Analysis and Prevention. 39:28-37.
[2] Iyer P.S., Haight J.M.Castillo E.D. Tink B.W and Hawkins P.W. (2005) "A research model - Forecasting Incident Rates From Optimized Safety Programme Intervention Strategies. Journal of safety research 36 (2005) 341 - 351 .
[3] Fabiano B., Curr├▓ F., Reverberi A. P. and Pastorino R. (2008) "A Statistical Study on Temporary Work and Occupational Accidents: Specific Risk Factors and Risk Management Strategies" Safety Science 46 (2008) 535 - 544.
[4] Adebiyi K. A., Charles-Owaba O. E and Waheed M.A (2007) Safety performance evaluation models - a review, Disaster Prevention and Management, An International Journal. UK, 16 (2)178 - 187.
[5] Goggins R.W., Spielholz P. and Nothstein G. L (2008) "Estimating the Effectiveness of Ergonomics Interventions through Case Studies: Implications for Predictive Cost Benefit Analysis" Journal of Safety Research 39 (2008) 339 - 344 .
[6] Adebiyi K. A. and Charles-Owaba O. E (2009), "Towards Setting a Sustainable Manufacturing Safety Programme" Disaster Prevention and Management, An International Journal UK 18 (4) 388 - 396.
[7] Charles-Owaba O. E and Adebiyi K. A. (2006) "The Development Safety Programme Simulator" Journal of Modelling in Management UK, 1 (3) 270 - 290
[8] Adebiyi K. A. and Ajayeoba A.O.(2011) "Manufacturing Accidents Cost Estimation Model" Academia Arena: 3(9) 1 - 3.
[9] Duzgun, H. S. B and Einsten, H. H. 2004. Assessment and Management of Roof Fall Risks in Underground Coal Mines. Safety Science 42.1: 23 - 41.
[10] Adebiyi, K.A., O.E. Charles-Owaba, and E.S. Eneyo. 2009. "Modeling the Impact of a Hazardous Conditions in a Manufacturing Safety Program". Pacific Journal of Science and Technology.10(2):988 - 995.
[11] Villaneva and Garcia (2011): "Individual and Occupational factors related to fatal injuries: A case control study. Accident analysis and Prevention 43(2011) pg 123-127.
[12] Joiner, W. (2005), "Achieving the benefits of behaviour - based safety without pitfalls", Industrial Hygiene, available at: www. industrialhygiene.org.