The Optimization of Packaging System Process Parameters Using Taguchi Method
DOI:
https://doi.org/10.24002/ijieem.v2i1.3694Keywords:
Taguchi method, signal to noise ratio, orthogonal array, optimal setting, optimization.Abstract
Packaging systems constitute substantially to product cost, its safety, and optimization. Unfortunately, no previous optimization studies have examined the packaging system in a bottling process plant for the unique, developing country environment. Consequently, the Taguchi method is applied to optimize a process plant's packaging system in a Nigerian plant's real-life situation. Optimal combinations of packaging system parameters that minimize product waste are created. An L4 (23) Taguchi orthogonal array was selected to analyze the data, and signal-to-noise ratios were computed for each experiment's run. Since the aim was to minimize beer waste, the ‘the-smaller-the-better’ signal-to-noise ratio was chosen in the analysis. S/N ratio plots revealed the optimum settings to obtain minimal product waste, namely, A2, B1, and C2 from the main effects plot for signal-to-noise ratios. A two-way ANOVA was performed on the significant factors to determine their percentage contributions to the response (product waste). Through Taguchi's innovative approach, the feasibility of optimizing the packaging process parameters was demonstrated and validated.References
Aerts, G., & Smits, T. (2017), The package size effect: How package size affects young children’s consumption of snacks differing in sweetness, Food Quality and Preference, 60, 72-80.
Almetwally, A.A. (2020). Multi-objective optimization of woven fabric parameters using Taguchi–Grey relational analysis, Journal of Natural Fibers, 17(10), 1468-1478.
Al-Refaie, A. (2015). A proposed weighted additive model to optimise multiple quality responses in the Taguchi method with applications, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 229(3), 168-178.
Al-Refaie, A., Rawabdeh, I., Jalham I., Bata, N., & Abu-Alhaj, R. (2013). Optimization of multiple responses in the Taguchi method using desirability function and fuzzy regression, Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, 2, IMECS 2013, March 13 - 15, Hong Kong.
Anthony, J. (2001). Simultaneous optimisation of multiple quality characteristics in manufacturing processes using Taguchi’s quality loss function, The International Journal of Advanced Manufacturing Technology, 17(2), 134-138.
Athreya, S., & Venkatesh, Y.D. (2012). Application of Taguchi method for optimization of process parameters in improving the surface roughness of lathe facing operation, International Refereed Journal of Engineering and Science, 1(3), 13-19.
Blackhall, R.B., Ritchie, J.M., Baxter, L.F., & Black, I. (2006). The novel combination of Taguchi methods and texture profile analysis applied to the optimisation of laboratory-based biscuit manufacturing, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(2), 273-293.
Candan, G., & Yazgan, H.R. (2015). Genetic Algorithm parameter optimisation using Taguchi method for a flexible manufacturing system scheduling problem, International Journal of Production Research, 53(3), 897-915.
Casalino, G., Facchini, F., Mortello, M., & Mummolo, G. (2016). ANN modeling to optimize manufacturing processes: the case of laser welding, IFAC-PapersOnline, 49(12), 378-383.
Chomsamutr, K., and Jongprasithporn, S. (2012). Optimisation parameters of tool-life model using Taguchi approach and response surface methodology, International Journal of Computer Science Issues, 9(1), 120-125.
Chandrasekar, V., Kannan, K., Priyavarshini, R., & Gayathri, R. (2015). Application of Taguchi method in optimization of process factors of ready to eat peanut (Arachis hypogaea) Chutney, International Food Research Journal, 22(2), 510-516.
Chen, F.C., Tzeng, Y.F., Chen, W.R., & Hsu, M.H. (2009). The use of the Taguchi method and principal component analysis for the sensitivity analysis of a dual-purpose six-bar mechanism, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 223(3), 733-741.
Chen, F.C., & Huang, H.H. (2006). Taguchi-fuzzy-based approach for the sensitivity analysis of a four-bar function generator, Proceedings of the Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering Science, 220(9), 1413-1421.
Dhoke, M.V. (2016). Parametric optimization in turning using response surface methodology, Journal of Information, Knowledge and Research in Mechanical Engineering, 4(1), 714-719.
Dwiwedi, A.K.R., & Kumar, S. (2015). Practical application of Taguchi method for optimization of process parameters in injection molding machine for PP material, International Research Journal of Engineering and Technology, 2(4), 264-268.
Fang, Z., Zhao, Y., Warner, R.D., & Johnson, S.K. (2017). Active and intelligent packaging in meat industry, Trends in Food Science and Technology, 61, 60-71.
Ganesan, V., & Kaliyamoorthy, B. (2020). Utilization of taguchi technique to enhance the interlaminar shear strength of wood dust filled woven jute fiber reinforced polyester composites in cryogenic environment, Journal of Natural Fibers, 17, 1-12.
Gong, C., & Kao, I. (1997). Design for accuracy and repeatability for robots using Taguchi methods, Concurrent Engineering, 5(3), 263-277.
Grobbel, J.P., Dikeman, M.E., Hunt, M.C., & Williken, G.A. (2008). Effects of packaging atmospheres on beef instrumental tenderness, fresh color stability, and internal cooked color, Journal of Animal Science, 86(5), 1191-1199.
Heide, M., & Olsen, S.O. (2017). Influence of packaging attributes on consumer evaluation of fresh cod, Food Quality and Preference, 60, 9-18.
Hung, Y.H. (2007). Optimal process parameter design for a wire bonding of ultra-thin CSP package based on hybrid methods of artificial intelligence, Microelectronics International, 24(3), 3-10.
Ishrat, S.I., Khan, Z.A., Siddiquee, A.N., Badruddin, I.A., Algahtani, A., Javaid, S., & Gupta, R. (2019). Optimising parameters for expanded polystyrene based pod production using Taguchi method, Mathematics, 7(9), 847.
Jiang, L., Walczyk, D., McIntyre, G., & Chan, W.K. (2016). Cost modeling and optimization of a manufacturing system for mycelium-based biocomposite parts, Journal of Manufacturing Systems, 41, 8-20.
Jin, Y., Du, J., & He, Y. (2017). Optimization of process planning for reducing material consumption in additive manufacturing, Journal of Manufacturing Systems, 44(1), 65-78.
Jou, Y.T., Lin, W.T., Lee, W.C., & Yeh, T.M. (2014). Integrating the Taguchi method and response surface methodology for process parameter optimization of the injection molding, Applied Mathematics & Information Sciences, 8(3), 1277-1285.
Kamaruddin, S., Zahid, A.K., & Foong, S.H. (2010). Application of Taguchi method in the optimisation of injection moulding parameters for manufacturing products from plastic blend, International Journal of Engineering and Technology, 2(6), 574-580.
Karna, S.K., Singh, R.V., & Sahai, R. (2012). Application of Taguchi method in Indian industry, International Journal of Emerging Technology and Advanced Engineering, 2(11), 387-391.
Karimi, P., Mahdieh, O., & Rahmani, M. (2013). The study of relationship between packaging elements and purchase behaviour-consumers of good, cosmetics and health products, Interdisciplinary Journal of Contemporary Research in Business, 5(3), 281-295.
Kang, J., & Hadfield, M. (2001). Parameter optimization by Taguchi methods for finishing advanced ceramic balls using a novel eccentric lapping machine. Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, 215(B1), 69–78.
Kirby, E.D. (2006). A parameter design study in a turning operation using the Taguchi method, The Technology Interface, 1-14.
Kumar, D., & Kumar, S. (2015). Process parameters optimisation for HDPE material in extrusion blown film machinery using Taguchi method, IOSR Journal of Mechanical and Civic Engineering, 12(4), 1-3.
Kumar, D., & Pandey, K.N. (2015). Optimisation of the process parameters in generic thermal barrier coatings using the Taguchi method and Grey-relational analysis, Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Material Design and Applications, 231(7), 600–610.
Kumar, D., Gupta, A.K., Chandna, P., & Pal, M. (2015). Optimisation of neural network parameters using Grey-Taguchi methodology for manufacturing process applications, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 229(14), 2651-2664.
Li, W., Hu, S.J., & Cheng, S.W. (2002). Robust design and analysis for manufacturing processes with parameter interdependency, Journal of Manufacturing Systems, 21(2), 93-100.
Lindeke, R.R., & Liou, Y.H.A. (1989). Methods for optimisation in the manufacturing system the Taguchi method: An engineering approach to its implementation, Journal of Mechanical Working Technology, 20, 205-218.
McMillin, K.W. (2017). Advancements in meat packaging, Meat Science, 132, 153-162.
Mehat, N.M., Kamaruddin, S., & Othman, A.R. (2014). Hybrid integration of Taguchi parameter design, Grey-relational analysis, and principal component analysis optimisation for plastic gear production, Chinese Journal of Engineering, 2014, 1-11.
Nyemba, W.R., & Mbohwa, C. (2017). Process mapping and optimization of the process flows of a furniture manufacturing company in Zimbabwe using machine distance matrices, Procedia Manufacturing, 8, 447-454.
Park, M.S., Cho, J.C., Kim, S.H., Shin, D.J., Jung, H.M., Lee, C.K., Cho, M.S., & Lee Y. (2011). Optimisation of desmear process for high adhesion of insulating film in printed circuit boards (PCBs) via Taguchi method, International Journal of Adhesion and Adhesives, 31(6), 466-472.
Patnaik, A., Satapathy, A., Mahapatra, S.S., & Dash, R.R. (2008). Implementation of Taguchi design for erosion of fibre-reinforced polyester composite systems with SiC filler, Journal of Reinforced Plastics and Composites, 27(10), 1093-1111.
Pattnaik, S., Karunakar, D.B., & Jha, P.K. (2013). Influence of injection process parameters on dimensional stability of wax patterns made by the lost wax process using Taguchi approach, Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 227(1), 52-60.
Patyal, V.S., Modgil, S., & Maddulety, K. (2013). Application of Taguchi method of experimental design for chemical process optimisation: A case study, Asia-Pacific Journal of Management Research and Innovation, 9(3), 321-328.
Pour, G.T., & Moghadam, S.M.M. (2014). Optimisation of nano-calcium carbonate production process using Taguchi method, International Journal of Materials, Mechanics and Manufacturing, 2(1), 77-80.
Ramakrishnan, R., & Arumugam, R. (2013). Optimization of cooling tower performance analysis using Taguchi method, Thermal Science, 17(2), 457-470.
Reddy, V.V., Valli, P.M., Kumar, A., & Reddy, C.S. (2015). Multi-objective optimization of electrical discharge machining of PH17-4 stainless steel with surfactant-mixed and graphite powder–mixed dielectric using Taguchi-data envelopment analysis–based ranking method, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229(3), 69-80.
Renerre, M., & Labadie, J. (1993). Fresh red meats packaging and meat quality, Proceedings of the 39th International Congress of Meat Science and Technology, 361-387, 1-6 August, Calgary, Canada.
Sankaran, V.S., Segar, V., Subramanian, B., & Krishna, A. (2015). Optimization of manufacturing process parameters using Arena Simulation and Taguchi method, International Journal of Mechanical Engineering and Robotics Research, 4(1), 435-444.
Sibalija, T., Majstorović, V., & Soković, M. (2011). Taguchi-based and Intelligent Optimisation of a multi-response process using historical data, Journal of Mechanical Engineering, 57(4), 357-365.
Silayoi, P., & Speece, M. (2007). The importance of packaging attributes: A cojoint analysis approach, European Journal of Marketing, 41(11-12), 1495-1517.
Sousa, M.R.S., Lora-García, J., López-Pérez, M.F., Santafé-Moros, A., & Gozálvez-Zafrilla, J.M. (2020). Operating conditions optimization via the Taguchi method to remove colloidal substances from recycled paper and cardboard production wastewater, Membranes, 10(8), 170.
Steenis, N.D., Herpen, E., van der Lans, I.A., Ligthart, T.N., & van Trijp, H.C.M. (2017). Consumer response to packaging design: The role of packaging materials and graphics in sustainability perceptions and product evaluations, Journal of Cleaner Production, 162, 286-298.
Sukthomya, W., & Tannock, D.T. (2005a). Taguchi experimental design for manufacturing process optimisation using historical data and Neural Network process model, International Journal of Quality and Reliability Management, 22(5), 485-502.
Sukthomya, W., & Tannock, J. (2005b). The optimisation of neural parameters using Taguchi’s design of experiments approach: An application in manufacturing process modeling, Neural Computing and Application, 337-344.
Tsai, C.S., & Mort, N. (1996). Simulation and optimisation in manufacturing systems using Taguchi methods, UKACC International Conference on Control '96 (Conf. Publ. No. 427), 2-5 September, Exeter, UK.
Üstüntağ, S., Şenyiğit, E., Mezarcıöz, S., & Türksoy, H.G. (2020). Optimization of coating process conditions for denim fabrics by Taguchi method and Grey relational analysis, Journal of Natural Fibers, 17.
Verbeke, W., De Smeo, S., Vackier, I., Van Oeckel, M.J., Warnats, N., & Van Kenhove P. (2005). Role of intrinsic search cues in the formation of consumer preferences and choice for pork chops, Meat Science, 69(2), 343-354.
Wazed, M.A., Ahmed, S., & Nukman, Y. (2010). Application of Taguchi method to analyse the impacts of commonalities in multistage production under bottleneck and uncertainty, International Journal of the Physical Science, 5(10), 1576-1591.
Xydas, N., Tsi, D., Gurevich, V., Krichever, M., & Kao, I. (2005). Dynamic Taguchi methods and parameter design as applied in barcode scanning and scanners, Concurrent Engineering, 13(1), 69-80.
Zagloel, T.Y., & Al-Aina, F. (2009). Gram optimisation using Taguchi method of parameter design and neural network process model in packaging industry, 2nd Asia Pacific Conference on Manufacturing System 4-5 November, Yogyakarta, Indonesia, 9-16.
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