Determination of the optimum weight of the 500-ml serum bottle using the k2 design of experimental (Case Study: Samen Pharmaceutical Co.)
Subject Areas :
Industrial Management
Behnam Bayani Rad
1
,
Hamideh Razavi
2
,
Haniye Farahmand
3
,
ali hadianfar
4
1 - Director of Industrial Engineering and Planning of Samen Pharmaceutical Company
2 - Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad
3 - MSc of Industrial Management, Semnan University
4 - Biostatistics, School of Public Health, Mashhad University of Medical Sciences, Mashhad, Iran
Received: 2018-09-04
Accepted : 2019-01-01
Published : 2018-11-22
Keywords:
Standard Weight,
Waste,
Design of Experiments,
Serum,
Abstract :
In industrial and manufacturing processes, there are several input factors in different levels, which may affect the final product characteristics. The design of experimental method, as one of the new quality improvement methods identifies the most important effective factors factors on product quality by experimental design and adjusts its optimal levels. The purpose of this study was determination of the optimum weight of the 500-ml serum bottle using the 2k design of experimental, so that, if thicker, it would increase the consumption of the primary substance of P.P. And losses, and if it is used less than standard, it will cause deformation of the body and loss of the product. Because the serum production process faces some inevitable waste but subsequent changes in weight cause the consumption control not be properly performed, so after determining the weight the standard of the serum the conditions of the machine must be checked, it is possible to approach the production with a standard weight and the normal waste is under control. In this study, we tried to identify the factors affecting the weight of the serum bottle using 2k experimental design. After analyzing and evaluating the adequacy of the model, the results of analysis of variance and main effects graphs showed that the timing of cycle, the temperature of the heaters and the extruder circle had the most direct effect on the weight of the bottle. By controlling these factors, we can determine the weight fluctuations reduced the bottle.
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Amiri, A. H., & Kousha, M. (2013). statistical quality control: Negahe Danesh.
Amiri, M. (2012). Application of Response Surface Methodology to Determine Effective Factors on Production Process of Glass Bottle. Industrial Management Studies, 8(18), 15-39.
Antony, J. (2001). Improving the Manufacturing Process Quality Using DOE: A Case study. Journal of Operations and Production Management, 21(5), 812-882.
Aslan, E., Camuşcu, N., & Birgören, B. (2007). Design optimization of cutting parameters when turning hardened AISI 4140 steel (63 HRC) with Al2O3+ TiCN mixed ceramic tool. Materials & design, 28(5), 1618-1622.
Jafarian, M., Dehghan, G. H., & Vafaie Sefat, A. (2009). Investigation of Machine Parameters on the Leveling and Speed of Tungsten Carbide Machine Machining in Weld Electric Drainage Process (WEDM). Majlesi Journal of Mechanical Engineering(MJME), 2(2), 11-16.
Konda, R., Rajurkar, K. P., Bishu, R. R., Guha, A., & Parson, M. (1999). Design of experiments to study and optimize process performance. International Journal of Quality & Reliability Management, 16(1), 56-71. doi: doi:10.1108/02656719910226914
Montgomery, D. C. (2008). Design and analysis of experiments: Wiley New York.
Motaghi, H., & Rabbani, M. (2010). How to improve the quality of the product using the Test Design Technique (DOE), (Case Study on MgO-C Brick in Pars Refractory Products Company). Management Research in Iran, 11(20), 161-179.
Santner, T. J., Williams, B. J., & Notz, W. I. (2013). The design and analysis of computer experiments: Springer Science & Business Media.