Health and Safety Compliance Index Optimization using Binomial Motivated Taguchi Method and Multicriteria Selection

Shedrach Aliakwe Martins, Sunday Ayoola Oke, Onoyeyan Onajite

Abstract


Previous research has examined how the safety conformity of a bottling process plant may be analysed from the lens of machine guarding usage by operators. To advance knowledge, this study pioneers how to optimize safety conformity for all operations using binomial motivated Taguchi method. Secondly, for the first time, this study analyzes the performance of segments in safety conformity of bottling plant segments using multicriteria methods. Development of binomial motivated Taguchi method includes data gathering, calculating the binomial distribution, determining levels and factors, orthogonal arrays, and the signal-to-noise ratios. Computations are made of optimal, global and specific parametric settings. The multicriteria models used entropy for weight determination and indices were obtained for 12 evaluation periods. The optimal parametric setting is obtained as A3HT-A2S-A2O-A3C1, which is -1.92E+02 for segment 1, 1.29E-01 for segment 2, -1.15E+02 for segment 3 and -1.52E+02 for segments 4 and 5. The specific optimized values (SOVs) of workers shows that SOV (segment 2) > SOV (segment 3) > SOV (segment 1) > SOV (segments 4 and 5). The best performing operations in the five segments are the rescuers (segment 1), technical operators and packer/unpacker operators (segment 2), sugar lifters (segment 3), forklift technicians (segment 4) and contractor 3 (segment 5). The binomial motivated Taguchi method is an effective tool to optimize operational activities while the multicriteria models proved effective to rank performance for optimized results. The obtained results may be useful to plan for safety budgets.

Keywords


Safety conformity, selection, optimization, binomial distribution, bottling plant

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References


Agustin, E.W., Arso, S.P., Denny, H.M. 2019. Identifying the role of stakeholders in occupational safety and health of beauty salon businesses in Semarang regency, Jurnal Kesehatan Masyarakat, 15 (1), 131-140. https://doi.org/10.15294/kemas.v15i1.19781

Ajibade, O.A., Agunsoye, J.O. and Oke, S.A. 2019. Poisson distribution: How tensile properties of particulate polymer composites are enhanced in a Poisson-motivated Taguchi method, Engineering and Applied Science Research, 46(2), 130-141

Andarini, D., Camelia, A., Listianti A.N. 2019. Occupational respiratory symptoms caused by chemical hazard on hairdresser workers in Palembang, Jurnal Kesehatan Masyarakat, 15 (1), 6-14. https://doi.org/10.15294/kemas.v15i1.12111

Couto da Silva, S.L., Amaral, F.G., 2019. Critical factors of success and barriers to the implementation of occupational health and safety management systems: A systematic review of literature, Safety Science, 117, 123-132. https://doi.org/10.1016/j.ssci.2019.03.026

Haeri, A. 2016. Comprehensive plan for assessing and improving safety level of commercial centers towards the prevention of social and economical consequences of accidents, Safety Science, 89, 263-273

Gorny, A., 2019. Use of quality management tools to identify ergonomic non-conformities in human activities, Advances in Intelligent Systems and Computing, 971, 319-329. https://doi.org/10.1007/978-3-030-20494-5_30

Martins S.A. and Oke S.A., 2020, Safety conformity prediction for a bottling process plant: using multiple regression analysis for enhanced safety performance, Kufa Journal of Engineering, Vol. 11, No. 2, pp. 28-48. https://doi.org/10.30572/2018/KJE/110203

Martins S.A. and Oke S.A., 2021a, Multi-response optimisation of safety conformity using Taguchi scheme in a bottling process plant, Indonesian Journal of Industrial Engineering & Management, Vol. 2, No. 2, pp. 94-114. http://dx.doi.org/10.22441/ijiem.v2i2.10947

Martins S.A. and Oke S.A., 2021b, A hybrid control chart-Taguchi method for control and optimisation of safety conformity, International Journal of Industrial Engineering and Engineering Management, Vol. 0, No. 0, pp. 00-00. Accepted for publication.

Miarka, D., Urbanska, B., Kowalska, J., 2019, Traceability as a tool aiding food safety assurance on the example of a food-packing plant, Accreditation and Quality Assurance, 24(3), 237–244. https://doi.org/10.1007/s00769-018-01370-8

Mjakuškina S., Lapiņa I., 2018, Product conformity assessment within the integrated management system: manufacturing compliance and customer safety, Proceedings of the 22nd world multi-conference on systemics, cybernetics and informatics (WMSCI 2018), 3: 19-24

Onyegiri, I.E. and Oke, S.A., 2016. An analytic hierarchical approach to building airline safety management systems, Erzincan University Journal of Science and Technology, 9(3), 147-163

Pal S. and Gauri S.K., 2020, Measuring capability of a binomial process, International Journal of Engineering, Science and Technology, 12(1), 25-37. https://doi.org/10.4314/ijest.v12i1.3

Parker, D.L., Yamin, S.C., Brosseau L.M., Xi M., Gordon R., Most I.G., Stanley R. 2015a. National machine guarding program: Part 1, Machine safe-guarding practices in small metal fabrication businesses, American Journal of Industrial Medicine, 58, 1174-1183. https://doi.org/10.1002/ajim.22514

Parker, D.L., Yamin, S.C., Brosseau L.M., Xi M., Gordon R., Most I.G., Stanley R. 2015b. National machine guarding program: Part 2. Safety management in small metal fabrication enterprises, American Journal of Industrial Medicine, 58, 1184-1193. https://doi.org/10.1002/ajim.22523

Phuspa, S.M., Rosanti, E., Kamal, M. 2019. Hospital fire risk analysis with hazard, vulnerability, capacity, risk assessment model, Jurnal Kesehatan Masyarakat, 14 (3), 353-358. https://doi.org/10.15294/kemas.v14i3.14269

Priye, S., Manoj, M. 2020. Exploring usage patterns and safety perceptions of the users of electric three-wheeled paratransit in Patna, India, Case Studies on Transport Policy, 8(1), 39-48. https://doi.org/10.1016/j.cstp.2020.01.001

Raji, A.O. and Oke, S.A. 2019. Enhancement of maintenance downtime using Poisson motivated-Taguchi optimisation method, Al-Nahrain Journal for Engineering Sciences, 22(4), 294-306. https://doi.org/10.29194/NJES.22040294

Ramdan, I.M., Ilmiah, S.H., Firdaus, A.R. 2018. Occupational irritan contact dermatitis among shipyard workers in Samarinda, Indonesia, Jurnal Kesehatan Masyarakat, 14(2), pp. 239-246. https://doi.org/10.15294/kemas.v14i2.13417

Redinger, C.F. and Levine, S.P. 1998. Analysis of third-party certification approaches using an occupational health and safety conformity-assessment model, American Industrial Hygiene Association Journal, 59(11), 802-812. https://doi.org/10.1080/15428119891010992

Uzor, C., Oke, S., Okolie, S. 2018a. Sensitivity analysis on a variant machine guard compliance productivity model (VMGPEM) for a bottling plant using the OFAT technique, International Conference on Engineering for a Sustainable World (ICESW 2018); Jul 9-13; Ota, Nigeria

Uzor, C., Oke, S., Okolie, S. 2018b. An alternate productivity evaluation practice to depict machine guarding performance in a process plant, International Conference on Engineering for a Sustainable World (ICESW 2018), Jul 9-13; Ota, Nigeria

Uzor, C. and Oke, S.A., 2018. A model to predict and optimise machine guarding operator’s compliance activities in a bottling process plant: A developing country experience, International Journal of Occupational Safety and Ergonomics, 26(4):780-801. https://doi.org/10.1080/10803548.2018.1520471

Widjanarti, M.P., Setyawan, H., Qadrijati, I. 2019. The effects of lighting intensity on the productivity of textile workers in Surakarta, Jurnal Kesehatan Masyarakat, 15 (1), 39-43. https://doi.org/10.15294/kemas.v15i1.15448

Wong, D.B., Lee, S.G. 2016. Modelling the predictors of intention in workplace safety compliance of a multi-ethnic workforce, Safety Science, 88, 155-165. https://doi.org/10.1016/j.ssci.2016.05.003




DOI: http://dx.doi.org/10.22441/ijiem.v2i3.12269

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