Document Type : Research Paper

Authors

Kennesaw State University, Marietta, Georgia, USA.

Abstract

In a lean production environment, reduced setup times can lead to many benefits, including reduced lead times. Previous research has primarily relied on the SMED methodology and mathematical modeling to reduce setup times at machine centers – and both are very useful techniques. We use the Soft Systems Methodology, combined with the Seven Tools of Quality, to provide a structured, illustrative means for diagnosing production and quality issues. A baseline average setup time was established by which future setup times would be compared. The intervention included brainstorming sessions between management and the converting center work crew that disclosed many reasons for increased setup times, some of which were under management’s control. Our findings resulted in a 24% reduction in average setup times and a 62% reduction in the moving range at a bottleneck machine center in the corrugated box industry.

Keywords

Main Subjects

[1]     Keyser, R. S., Severin, R. S., & Geiger, M. J. (2022). Setup time reduction with SMED in a corrugated box plant. Journal of applied research on industrial engineering, 9(2), 264–271.
[2]     Williams, B., & Hummelbrunner, R. (2010). Systems concepts in action: a practitioner’s toolkit. Stanford University Press. https://www.amazon.com/Systems-Concepts-Action-Practitioners-Toolkit/dp/0804770638
[3]     Braglia, M., Frosolini, M., & Gallo, M. (2017). SMED enhanced with 5-whys analysis to improve set-upreduction programs: the SWAN approach. The international journal of advanced manufacturing technology, 90, 1845–1855. https://doi.org/10.1007/s00170-016-9477-4
[4]     Ahmad, R., & Soberi, M. S. F. (2018). Changeover process improvement based on modified SMED method and other process improvement tools application: an improvement project of 5-axis CNC machine operation in advanced composite manufacturing industry. The international journal of advanced manufacturing technology, 94, 433–450. https://doi.org/10.1007/s00170-017-0827-7
[5]     Rosa, C., Silva, F. J. G., Ferreira, L. P., & Campilho, R. (2017). SMED methodology: the reduction of setup times for Steel Wire-Rope assembly lines in the automotive industry. Procedia manufacturing, 13, 1034–1042. DOI:10.1016/j.promfg.2017.09.110
[6]     Filho, M. G., & Uzsoy, R. (2013). The impact of simultaneous continuous improvement in setup time and repair time on manufacturing cycle times under uncertain conditions. International journal of production research, 51(2), 447–464. DOI:10.1080/00207543.2011.652261
[7]     King, P. L. (2009). SMED in the process industries-Improved flow through shorter product changeover. Industrial engineer, 41(9), 1–8.
[8]     Orta-Lozano, M. M., & Villarreal, B. (2015). Achieving competitiveness through setup time reduction. 2015 international conference on industrial engineering and operations management (IEOM) (pp. 1–7). IEEE. https://ieeexplore.ieee.org/abstract/document/7093897
[9]     Amrina, U., Junaedi, D., & Prasetyo, E. (2018). Setup reduction in injection moulding machine type JT220RAD by applying single minutes exchange of die (SMED). IOP conference series: materials science and engineering (Vol. 453, p. 12033). IOP Publishing. DOI: 10.1088/1757-899X/453/1/012033
[10]   Arief, R. K., & Nurlaila, Q. (2019). Setup time efficiencies of quick die change system in metal stamping process. IOP conference series: materials science and engineering (Vol. 602, p. 12040). IOP Publishing.
[11]   Deros, B. M., Mohamad, D., Idris, M. H. M., Rahman, M. N. A., Ghani, J. A., & Ismail, A. R. (2011). Cost saving in an automotive battery assembly line using setup time reduction [presentation]. Proceedings of the 11th wseas international conference on robotics, control and manufacturing technology, and 11th wseas international conference on multimedia systems & signal processing (pp. 144–148). https://dl.acm.org/doi/abs/10.5555/1965760.1965783
[12]   Malik, A. I., & Sarkar, B. (2018). Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time. IEEE access, 6, 36176–36187. DOI:10.1109/ACCESS.2018.2849694
[13]   Kumar, K., & Aouam, T. (2018). Effect of setup time reduction on supply chain safety stocks. Journal of manufacturing systems, 49, 1–15. https://doi.org/10.1016/j.jmsy.2018.08.001
[14]   Sarkar, B., Guchhait, R., Sarkar, M., Pareek, S., & Kim, N. (2019). Impact of safety factors and setup time reduction in a two-echelon supply chain management. Robotics and computer-integrated manufacturing, 55, 250–258. https://doi.org/10.1016/j.rcim.2018.05.001
[15]   Das Roy, M., & Sana, S. S. (2021). Production rate and lot-size dependent lead time reduction strategies in a supply chain model with stochastic demand, controllable setup cost and trade-credit financing. RAIRO - operations research, 55, S1469–S1485. DOI:10.1051/ro/2020112
[16]   Cakmakci, M., & Karasu, M. K. (2007). Set-up time reduction process and integrated predetermined time system MTM-UAS: a study of application in a large size company of automobile industry. The international journal of advanced manufacturing technology, 33, 334–344.
[17]   Trovinger, S. C., & Bohn, R. E. (2005). Setup time reduction for electronics assembly: Combining simple (SMED) and IT-based methods. Production and operations management, 14(2), 205–217. DOI:10.1111/j.1937-5956.2005.tb00019.x
[18]   Filla, J. (2016). The single minute exchange of die methodology in a high-mix processing line. Journal of competitiveness, 8(2), 59–69. DOI:10.7441/joc.2016.02.05
[19]   Lozano, J., Saenz-Díez, J. C., Martínez, E., Jiménez, E., & Blanco, J. (2017). Methodology to improve machine changeover performance on food industry based on SMED. International journal of advanced manufacturing technology, 90, 3607–3618.
[20]   Lin, T. Y., Sarker, B. R., & Lin, C. J. (2021). An optimal setup cost reduction and lot size for economic production quantity model with imperfect quality and quantity discounts. Journal of industrial and management optimization, 17(1), 467–484. DOI:10.3934/jimo.2020043
[21]   Moon, I. (1994). Multiproduct economic lot size models with investment costs for setup reduction and quality improvement: review and extensions. THE international journal of production research, 32(12), 2795–2801. https://doi.org/10.1080/00207549408957100
[22]   Kim, Y. D., Hwang, H., & Kim, D. B. (1993). Multiproduct economic lot size models with investment costs for setup reduction and quality improvement. International journal of production research, 31(3), 691–703.
[23]   Porteus, E. L. (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Operations research, 34(1), 137–144. DOI:10.1287/opre.34.1.137
[24]   Trevino, J., Hurley, B. J., & Friedrich, W. (1993). A mathematical model for the economic justification of setup time reduction. International journal of production research, 31(1), 191–202.
[25]   Jacobs, F. R., & Chase, R. B. (2018). Operations and supply chain management. McGraw-Hill.
[26]   Heizer, J., & Render, B. (2008). Operations management. Pearson Prentice Hall.
[27]   Cakmakci, M. (2009). Process improvement: performance analysis of the setup time reduction-SMED in the automobile industry. The international journal of advanced manufacturing technology, 41, 168–179. https://doi.org/10.1007/s00170-008-1434-4