Abstract
Nowadays, so as to adapt to the global market, where competition is getting tougher, firms producing through the modern production approach need to bring not the only performance of the system designed both during the research and development phase and the production phase but also the performance of the product to be developed as well as the process to be improved to the highest level. The Taguchi method is an experimental design technique seeking to minimize the effect of uncontrollable factors, using orthogonal arrays. It can also be designed as a set of plans showing the way data are collected through experiments. Experiments are carried out using factors defined at different levels and a solution model generated in ARENA 3.0 program using SIMAN, which is a simulation language. Many experimental investigations reveal that the speed and capacity of automated-guided vehicle, the capacities of local depots, and the mean time between shipping from the main depot are the major influential parameters that affect the performance criteria of the storage system. For the evaluation of experiment results and effects of related factors, variance analysis and signal/noise ratio are used and the experiments are carried out in MINITAB15 according to Taguchi L16 scheme. The purpose of this study is to prove that experimental design is an utilizable method not only for product development and process improvement but it can also be used effectively in the design of material handling–transfer systems and performance optimization of automation technologies, which are to be integrated to the firms.
Article PDF
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
Savaskan M, Taptik Y, Urgen M (2004) Deney tasarimi yontemi ile matkap uclarinda performans Optimizasyonu. ITU Dergisi 6(3):117–1288
Taguchi G, Chowdury S, Wu Y (2005) Taguchi’s quality engineering handbook. ASI Consulting Group, Livonia, Michigan
Lochner RH, Matar JE (1990) Designing for quality: an introduction to the best of Taguchi and Western methods of statistical experimental design. Chapman and Hall, New York
Dobrzanski LA, Domaga J, Silva JF (2007) Application of Taguchi method in the optimisation of filament winding of thermoplastic composites. Arch Mater Sci Eng 28(3):133–140
Fowlkes WY, Creveling CM (1995) Engineering methods for robust product design: using taguchi methods in technology and product development. Addison-Wesley, Reading, MA
Chenl YH, Tam SC, Chen WL, Zhengl HY (1996) Application of Taguchi method in the optimization of laser micro-engraving of photomasks. Int J Mater Prod Technol 11(3/4):333–344
Sirvanci M (1997) Kalite için deney tasarimi Taguchi yaklasimi. Litaratür Yayinlari, Istanbul
Gürsakal N (2005) Alti Sigma Müsteri Odakli Yonetim, 2. Baski, Nobel Yayinlari, Ankara
Montgomery DC (2005) Design and Analysis of Experiments. Wiley, NJ
Ross PJ (1989) Taguchi techniques for quality engineering, loss function, orthogonal experiments, parameter and tolerance design. McGraw Hill, New York
Yang WH, Tarng YS (1998) Design optimization of cutting parameters for turning operations based on the Taguchi method. J Mater Process Technol 84:122–129
Tarng YS, Yang WH (1998) Optimization of the weld bead geometry in gas tunsten arc welding by Taguchi method. Int J Adv Manuf Technol 14:549–554
Roy RK (2001) Design of experiments using the Taguchi approach: 16 steps to product and process improvement. Wiley, New York
Bendell A, Disney J, Pridmore WA (1989) Taguchi methods: applications in world industry. IFS Publications, London
Pegden CD, Shannon RS, Sadowski PR (1990) Introduction to simulation using SIMAN. McGraw-Hill, Inc., NY
Deng C-S, Chin J-H (2005) Hole roundness in deep-hole drilling as analysed by Taguchi methods. Int J Adv Manuf Technol 25:420–426
Riggs JL (1987) Production systems. Wiley, NJ
Al-Darrab I, Khan ZA, Zytoon MA, Ishrat SI (2009) Application of the Taguchi method for optimization of parameters to maximize text message entering performance of mobile phone users. Int J Qual Reliab Manag 6(5):469–479
AGV–automated guided vehicle. JBT Corporation. http://www.fmcsgvs.com/content/sales/auto.htm. Accessed 16 June 2011
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Subulan, K., Cakmakci, M. A feasibility study using simulation-based optimization and Taguchi experimental design method for material handling—transfer system in the automobile industry. Int J Adv Manuf Technol 59, 433–443 (2012). https://doi.org/10.1007/s00170-011-3514-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-011-3514-0