ESTABLISHING AN OPTIMAL QUALITY PLANNING DECISION THROUGH DISCRETE EVENT SIMULATION: ANALYSIS CASE STUDY
DOI:
https://doi.org/10.11113/jt.v78.3322Keywords:
Quality planning, IPQC, Discrete Event Simulation (DES), Analysis of Variance (ANOVA)Abstract
Random in-process quality control (IPQC) is conducted in one of the departments in a circuit board manufacturing company, Company A, which produces high-mixed products, and results in complete failure of ensuring the quality of parts produced. Consequently, defects occur on the parts produced, leading to high rejection rate. This high rejection rate eventually results in high cost of non-value-added activities, which include rework of rejected parts. This paper introduces quality planning to ensure the quality of work-in-progress (WIP) parts in the production with discrete event simulation (DES) software. A series of experiments is conducted by using varying parameters, including flow patterns of parts in the shop floor and number of IPQC inspector, to assess the significance of these parameters on the performance measures relevant to quality perspective. Statistical analysis is conducted on the simulation results via ANOVA. Findings from this research prove that varying the parameters has a significant effect on the performance measures.
References
Brosnan, T., Sun, D.-W. 2004. Improving Quality Inspection Of Food Products By Computer Vision - A Review. Journal of Food Engineering. 61: 3-16.
Jozsef, B., Blaga, P. 2012. A More Efficient Production Using Quality Tools And Human Resources Management. Procedia Economics and Finance. 3: 681-689.
Karim, M. A. 2009. A Conceptual Model For Manufacturing Performance Improvement. Journal of Achievements in Materials and Manufacturing Engineering. 35: 87-94.
Montgomery, D. C. 2009. Quality Improvement in the Modern Business Environment. Introduction to Statistical Quality Control. Sixth Edition. United States of America: John Wiley & Sons.
Tirkel, I., Rabinowitz G. 2014. Modeling Cost Benefit Analysis Of Inspection In A Production Line. International Journal of Production Economics. 147: 38-45.
Cesarone, J. 1991. QEX: An In-Process Quality Control Expert System. Robotics and Computer-Integrated Manufacturing. 8: 257-264.
Mcadam R., Leonard D. 2005. Cross-Mapping Strategic And Quality Processes: A Best Practice Analysis. International Journal of Process Management and Benchmarking. 1: 25-44.
Prabhushankar G. V., Devadasan S. R., Shalij P. R., Thirunavukkarasu V. 2009. Design of Innovative Six Sigma Quality Management Systems. International Journal of Process Management and Benchmarking. 3: 76-100.
Itabashi-Campbell, R. R., Yadav, O. P. 2008. Gauging Quality And Reliability Assurance Efforts In Product Development Process. International Journal of Process Management and Benchmarking. 2: 221-233.
Yadav, O. P., Bilen C., Solanki, R. 2006. Driving Change In Manufacturing Quality Systems By Selecting Best-Fit Off-The-Shelf Software Platform. International Journal of Process Management and Benchmarking. 1: 146-163.
Yeow, P. H. P., Sen, R. N. 2004. Ergonomics Improvements of the Visual Inspection Process in a Printed Circuit Assembly Factory. International Journal of Occupational Safety and Ergonomics (JOSE). 10: 369-385.
Ali, D., Javed, A., Tanveer, A., Saleem, S. 2013. An Improved, Efficient and Cost Effective Software Inspection Meeting Process. I.J.Modern Education and Computer Science. 2: 48-54.
Veatch, M. H. 1999. Inspection Strategies for Multistage Production Systems with Time-Varying Quality. Department of Mathematics, Gordon College. 1-19.
Narendra, V. G., Hareesh, K. S. 2010. Quality Inspection and Grading of Agricultural and Food Products by Computer Vision - A Review. International Journal of Computer Applications. 2: 43-65.
Smith, R. R., Callahan, N., Strong, S. 2005. Developing a Practical Quality System to Improve Visual Inspections. Journal of Industrial Technology. 21: 1-7.
Crostack, H.-A., Höfling, M., Liangsiri, J. 2005. Simulation in Quality Management - An Approach to Improve Inspection Planning. Acta Polytechnica. 45: 10-16.
Soh, C.-H., Ding S.-H., Kamaruddin S. 2012. Shop Floor Performance Measurement - A Case Study In Injection Moulding Industry. Int. J. Agile Systems and Management. 5: 103-121.
Koren Y., Hu S. J., Weber T. W. 1998. Impact of Manufacturing System Configuration on Performance. Annals of the CIRP. 47: 369-372.
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