Optimization of Factor Settings for Pharmaceutical Filling Process by Factorial Design of Mixed Levels
DOI:
https://doi.org/10.37266/ISER.2013v1i2.pp110-122Abstract
Product and process variations can be costly to manufacturers in terms of high rework expenses, scrap, and inspection. We studied the variability of a generic pharmaceutical filling process (i.e., the fill weight and its related four factors). Firstly, we used mixed level factorial design to carry out the experiments and collect the data. The significance of the process factors and their interactions was determined using analysis of variance (ANOVA). Next, process capability analysis and optimization process were performed. The ultimate goal of the study was to develop the optimal level settings of controllable factors to minimize the quality loss caused by the deviation of process mean from the target value (nominal fill weight). The optimal level settings of the process factors were obtained for high and low viscosity products. As presented in this paper, significant quality improvement in the filling process can be achieved by reduction in fill weight variations. The approach may be generalized to other similar filling processes.
References
Anis, M. Z. (2003). Determination of the best mean fill. Quality Engineering, 15(3), 407-409.
Bettes, D.C. (1962). Finding an optimum target value in relation to fixed lower limit and an arbitrary upper limit. Applied Statistics, 11, 202-210.
Bisgaard, S., Hunter, W. G. and Pallesen, L. (1984). Economic selection of quality of manufactured product. Technometrics, 26(1), 9-18.
Burr, I. W. (1949). A new method of approving a machine or process setting, Part 1. Industrial Quality Control, 5, 12-18; Part 2, Industrial Quality Control, 6, 13-16.
Chen, G and Kapur, K.C. (1997). A two-step robust design procedure of linear dynamic system for reducing performance variations. International Journal of Reliability, Quality and Safety Engineering. 4(2), 119-131.
Hunter, W. G. and Kartha, C. D. (1977). Determining the most profitable target value for a production process. Journal of Quality Technology, 9(4), 176-181.
Misiorek, V. I., and Barnett, N. S. (2000). Mean Selection for Filling Processes under Weights and Measures Requirements. Journal of Quality Technology, 32, 111-121.
Montgomery, D C. (2005). Design and Analysis of Experiments, 6th Edition, John Wiley & Sons, Inc.
Nelson, L. S. (1978). Best target value for production process. Journal of Quality Technology, 10, 88-89.
Nelson, L. S. (1979). Monograph for setting process to minimize scrap cost, Journal of Quality Technology, 11, 48-49
Shah, H K., Montgomery, D. C. and Carlyle, W. M. (2004). Response Surface Modeling and Optimization in Multi-response Experiments Using Seemingly Unrelated Regression. Quality Engineering, 16(3), 387-398.
Springer, C. H. (1951). A method of determining the most economic position of a process mean. Industrial Quality Control, 8(1), 36-39.
Tan, S. B. (1990). Influence of compression setting ratio on capsule fills weight and weight variability. International Journal of Pharmaceutics. 66, 273-282.
Taylor, W. A. (1991). Optimization and Variation Reduction in Quality. McGraw-Hill.
Usher, J. S., Alexander, S. M., and Duggines, D.C. (1996). The filling problem revisited. Quality Engineering, 9(1), 35-44.
Wu, C. F. J. and Humada, M. (2000). Experments: Planning, Analysis, and Parameter Design Optimization. John Wiley & Sons.
Zhu S., Lee S., Hargrove., K., Chen G. (2007). Prediction of Combustion Efficiency of Chicken Litter Using an Artificial Neural Network Approach. Fuel, 86(5-6), 877-886.
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