Multi-Response Optimization of Safety Conformity using Taguchi Scheme in a Bottling Process Plant
DOI:
https://doi.org/10.22441/ijiem.v2i2.10947Kata Kunci:
Safety, bottling plant, conformity, safety procedure, optimisationAbstrak
Previous research has examined safety conformity in process plants in terms of machine guarding guideline compliance behavior of operators. However, it is not clear how the safety conformity of workers in non-equipment related activities could be evaluated. This paper proposes a new Taguchi based method to optimize the safety conformity of workers in equipment and non-equipment related activities in a bottling process plant. The unique elements of the paper are the introduction of global and specific value determination mechanisms for the process. The validity of the procedure was ascertained by field data from a developing country. The results obtained revealed that the conformity of the work to safety procedures leads to a healthy state of operation in the industry. The study’s outcome may benefit the safety manager in the organization by raising conformity awareness among workers and enhances safety budget planning with information obtained from the methodology.Unduhan
Referensi
Ajibade O.A., Agunsoye J.O., Oke S.A., (2019), Optimisation of water absorption parameters of dual-filler filled composites using Taguchi and moderated Taguchi techniques, Kufa Journal of Engineering, 10(2), pp. 134-151.
DOI: 10.30572/2018/kje/100211
Ajibade O.A., Agunsoye J.O., Oke S.A., (2016), Tapped density optimization for four agricultural wastes: Part 1- Taguchi technique and mean response determination, Acta Periodica Technological, 47, 109–127. DOI: 10.2298/APT1647109A
Ajibade O.A., Agunsoye J.O., 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
Altunkaynak B. (2018), A statistical study of occupational accidents in the manufacturing industry in Turkey, International Journal of Industrial Ergonomics, 66, 01-109. https://doi.org/10.1016/j.ergon.2018.02.012
Anderson D.M., Rees D.I., Tekin E. (2018), Medical marijuana laws and workplace fatalities in the United States, International Journal of Drug Policy, 60, 33-39. DOI: 10.1016/j.drugpo.2018.07.008
Aravindan P., Devadasan S.R., Dharmendra B.V. and Selladurai V. (1995), Continuous quality improvement through Taguchi’s online quality control methods, International Journal of Operations & Production Management, 15(7), 60-77. https://doi.org/10.1108/01443579510090426
Antony J., Anand R. B., Kumar M. and Tiwari M. K., (2006), Multiple response optimization using Taguchi methodology and neuro-fuzzy based model, Journal of Manufacturing Technology Management, 17(7), 908-925. https://doi.org/10.1108/17410380610688232
Antony J., Somasundarum V., Fergusson C. and Blecharz P., (2004), Applications of Taguchi approach to statistical design of experiments in Czech Republican industries, International Journal of Productivity and Performance Management, 53(5), 447-457. https://doi.org/10.1108/17410400410545914
Antony J., Perry D., Wang C and Kumar M., (2006), An application of Taguchi method of experimental design for new product design and development process, International Journal of Assembly Automation, 26(1), 18–24. https://doi.org/10.1108/01445150610645611
Abhishek K., Datta S., Mahapatra S. S., Mandal G. and Majumdar G., (2013), Taguchi approach followed by fuzzy linguistic reasoning for quality-productivity optimization in machining operation A case study, Journal of Manufacturing Technology Management, 24(6), 929-951. https://doi.org/10.1108/JMTM-02-2012-0014
Besseris G. J., (2008), Multi-response optimisation using Taguchi method and super ranking concept, Journal of Manufacturing Technology Management, 19(8), 1015-1029. https://doi.org/10.1108/17410380810911763
Besseris G. J., (2009), Prioritised multi-response product screening using fractional factorial designs and order statistics, Journal of Manufacturing Technology Management, 20(4), 513-532. https://doi.org/10.1108/17410380910953766
Chen H. and Zhao Y. F., (2016), Process parameters optimization for improving surface quality and manufacturing accuracy of binder jetting additive manufacturing process, Rapid Prototyping Journal, 22/3, 527–538. https://doi.org/10.1108/RPJ-11-2014-0149
Dowlatshahi S., (2004), An application of design of experiments for optimization of plastic injection moulding processes, Journal of Manufacturing Technology Management, 15(6), 445-454. https://doi.org/10.1108/17410380410547852
Day L.M. (1999), Farm work-related fatalities among adults in Victoria, Australia: The human cost of agriculture, Accident Analysis & Prevention, 31(1–2), 153-159. DOI: 10.1016/s0001-4575(98)00057-8
Driscoll T.R., Ansari G., Harrison J.E., Frommer M.S., Ruck E.A. (1995), Traumatic work-related fatalities in forestry and sawmill workers in Australia, Journal of Safety Research, 26(4), 221-233. https://doi.org/10.1016/0022-4375(95)00018-L
Harrison J.E., Mandryk J.A., Frommer M.S. (1993), Work-related road fatalities in Australia, 1982–1984, Accident Analysis & Prevention, 25(4), 443-451. https://doi.org/10.1016/j.aap.2003.06.002
Holizki T., McDonald R., Gagnon F. (2015), Patterns of underlying causes of work-related traumatic fatalities – Comparison between small and larger companies in British Columbia, Safety Science, 71, Part C, 197-204. https://doi.org/10.1016/j.ssci.2014.06.008
Kumar A., Motwani J. and Otero L., (1996), An application of Taguchi’s robust experimental design technique to improve service performance, International Journal of Quality & Reliability Management, 13(4), 85-98. https://doi.org/10.1108/02656719610114425
Kumar S., Satsangi P.S. and Prajapati D.R., (2013), Optimisation of process factors for controlling defects due to melt shop using Taguchi method, International Journal of Quality & Reliability Management, 30(1), 4-22. https://doi.org/10.1108/02656711311288397
Kim W.-Y., Cho H.-H. (2016), Unions, health and safety committees, and workplace accidents in the Korean manufacturing sector, Safety and Health at Work, 7(2), 161-165. https://doi.org/10.1016/j.shaw.2016.02.005
Knights P., Scanlan B. (2019), A study of mining fatalities and coal price variation, International Journal of Mining Science and Technology, 29(4), 599-602. https://doi.org/10.1016/j.ijmst.2019.06.016
Liang K., Fung I.W.H. (2019), The impact of macroeconomic and industrial fluctuation on fatalities of construction workers in China, Journal of Safety Research, 70, 149-158. https://doi.org/10.1016/j.jsr.2019.06.004
Margavio G. W., Fink R. L. and Margavio T. M., (1994), Quality improvement using capital budgeting and Taguchi’s function, International Journal of Quality & Reliability Management, 11(6), 10-20. https://doi.org/10.1108/02656719410064612
McInnes J.A., Cleland H.J., Cameron P.A., Darton A., Gabbe B.J. (2019), Epidemiology of burn-related fatalities in Australia and New Zealand, 2009–2015, Burns, 45(7), 1553-1561. DOI: 10.1016/j.burns.2019.07.003
Meredith L., Thomson R., Ekman R., Kovaceva J., Bálint A. (2019), Equestrian-related injuries, predictors of fatalities, and the impact on the public health system in Sweden, Public Health, 168, 67-75
Mitchell R., Driscoll T., Healey S. (2004), Work-related road fatalities in Australia, Accident Analysis & Prevention, 36(5), 851-860. https://doi.org/10.1016/j.aap.2003.06.002
Mitchell R. J., Driscoll T. R., Harrison J. E. (1998), Traumatic work-related fatalities involving mining in Australia, Safety Science, 29(2), 107-123. https://doi.org/10.1016/S0925-7535(98)00012-5
Mondal S.C., (2016), Process capability – a surrogate measure of process robustness: a case study, International Journal of Quality & Reliability Management, 33(1), 90-106. https://doi.org/10.1108/IJQRM-12-2013-0202
Nenonen S. (2011), Fatal workplace accidents in outsourced operations in the manufacturing industry, Safety Science, 49(10), 1394-1403. https://doi.org/10.1016/j.ssci.2011.06.004
Nwafor S. Oke S, Ayanladun C., (2019), Taguchi optimization of cast geometries for A356/organic particulate aluminium alloy composite using a two-phase casting process, Journal of Applied Science and Process Engineering, 6(2), 386–411. https://doi.org/10.33736/jaspe.1722.2019
O’Connor P.J., O’Connor N. (2006), Work-related maritime fatalities, Accident Analysis & Prevention, 38(4), 737-741. https://doi.org/10.1016/j.aap.2006.01.004
Oah S., Na R., Moon K. (2018), The influence of safety climate, safety leadership, workload, and accident experiences on risk perception: A study of Korean manufacturing workers, Safety and Health at Work, 9(4), 427-433. https://doi.org/10.1016/j.shaw.2018.01.008
Ordoobadi S., (2009), Evaluation of advanced manufacturing technologies using Taguchi’s loss functions, Journal of Manufacturing Technology Management, 20(3), 367-384. https://doi.org/10.1108/17410380910936800
Perona M., (1998), Manufacturing conformity assessment through Taguchi's quality loss function, International Journal of Quality & Reliability Management, 15(8/9), 931-946. https://doi.org/10.1108/02656719810199024
Periyanan P.R. and Natarajan U. (2014), Optimization of multiple-quality characteristics in micro-WEDG process using Taguchi technique, International Journal of Quality & Reliability Management, 31(2), 205-219. https://doi.org/10.1108/IJQRM-12-2011-0158
Pierce B. (2016), How rare are large, multiple-fatality work-related incidents? Accident Analysis & Prevention, 96, 88-100.
DOI: 10.1016/j.aap.2016.07.014
Raji A.O., Oke S.A., (2019), Enhancement of maintenance downtime using Poisson motivated, Al-Nahrain Journal of Engineering Sciences, 22(4), 294–306. DOI: https://doi.org/10.29194/NJES.22040294
Selman J., Spickett J., Jansz J., Mullins B. (2018), An investigation into the rate and mechanism of incident of work-related confined space fatalities, Safety Science, 109, 333-343. https://doi.org/10.1016/j.ssci.2018.06.014
Stout N., Frommer M.S., Harrison J. (1990), Comparison of work-related fatality surveillance in the U.S.A. and Australia, Journal of Occupational Accidents, 13(3), 195-211. https://doi.org/10.1016/0376-6349(90)90021-M
Sukthomya W. and TannockJ. D. T., (2005), Taguchi experimental design for manufacturing process optimisation using historical data and a neural network process model, International Journal of Quality & Reliability Management, 22(5), 485-502. https://doi.org/10.1108/02656710510598393
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, https://doi.org/10.1080/10803548.2018.1520471
Zeydan M., (2008), Modelling the woven fabric strength using artificial neural network and Taguchi methodologies, International Journal of Clothing Science and Technology, 20(2), 104-118
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that:
1. This paper has not been published in the same form elsewhere.
2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UMB. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors may reproduce or authorize others to reproduce the Work or derivative works for the authors personal use or for company use, provided that the source and the UMB copyright notice are indicated, the copies are not used in any way that implies UMB endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.









