Optimal Process Adjustment under Inspection Errors Considering the Cycle Time of Production | ||
| Journal of Quality Engineering and Production Optimization | ||
| مقاله 3، دوره 4، شماره 1، شهریور 2019، صفحه 25-40 اصل مقاله (641.31 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22070/jqepo.2018.2680.1053 | ||
| نویسندگان | ||
| Mohammad Saber Fallahnezhad1؛ somaie ayeen2؛ Faeze Zahmatkesh Saredorahi3؛ Hasan Rasay* 4 | ||
| 1university of yazd | ||
| 2yazd univesity | ||
| 3Yazd university | ||
| 4University of Kurdistan | ||
| چکیده | ||
| Process adjustment, also known as process targeting, is one of the classical problems in the field of quality control and production economics. In the process adjustment problem, it is assumed that process parameters are variables and the aim is to determine these parameters such that certain economic criteria are optimally satisfied. The aim of this paper is to determine the optimal process adjustment in a two-stage production system with rework loops. An absorbing Markov chain model is developed in which all items are inspected for conformance with their specification limits. The cycle time of production process is included in the model for optimizing total profit of the system. Also, effects of inspection errors are investigated. | ||
| کلیدواژهها | ||
| Quality control؛ Rework loops؛ Markov chain؛ Optimal process mean؛ Inspection errors | ||
| مراجع | ||
|
Al-Sultan, K. S., & Pulak, M. F. S. (2000). Optimum target values for two stages in series with 100% inspection. European Journal of Operational Research, 120, 181-189. Bowling, S. R., Khasawneh, M. T., Kaewkuekool, S., & Cho, B. R. (2004). A markovian approach to determining optimum process target levels for a multi-stage serial production system. European Journal of Operational Research, 159, 636–650. Chung, H. C., & Hui, K. S. (2009). The determination of optimum process mean and screening limits based on quality loss function. Expert Systems with Application, 39, 7332-7335. Duffuaa, S. O., & Gaaly, A. E. (2012). A multi-objective mathematical optimization model for process targeting using %100 inspection policy. Journal of Applied Mathematical Modeling, 37, 1-8. Duffuaa, S. O., & Gaaly, A. E. (2017). A multi-objective optimization model for process targeting with inspection errors using 100 % inspection. The International Journal of Advanced Manufacturing Technology, 88, 2679-2692. Fallahnezhad, M. S., & Ahmadi, E. (2014). Optimal process adjustment with considering variable costs for uni-variate and multi-variate production process. International Journal of Engineering, 27, 561-572. Fallahnezhad, M. S., & Hosseininasab, H. (2012). Absorbing markov chain models to determine optimum process target levels in production systems with dual correlated quality characteristics. Pakistan Journal of Statistics and Operation Researches, 8, 205-212. Fallahnezhad, M. S., & Niaki, S. T. A. (2010). Absorbing markov chain models to determine optimum process target levels in production systems with rework and scrapping. Journal of Industrial Engineering, 4, 1-6. Fallahnezhad, M. S., Niaki, S. T. A., & Shahin, E. (2013). A markov model to determine optimal equipment adjustment in multi-stage production systems with considering variable cost. Iranian Journal of Operation Research, 4, 146-160. Jinshyang, R., Lingua, G., & Kwiei, T. (2000). Joint determination of process mean, production run size and material order quantity for a container-filling process. International Journal of Production Economics, 63, 303-317. Lee, M. K., & Elsayed, E. A. (2002). Process and mean screening limits for filling process under two-stage screening procedure. European Journal of Operational Research, 138, 118-126. Lee, M. K., Kwon, M. M., Hong, S. H., & Kim, Y. J. (2007). Determination of the optimum target value for a production process with multiple products. International Journal of Production Economics, 107, 173-178. Mohammadi, M., Dantan, J. Y., Siadat, A., & Tavakkoli-Moghaddam, R. (2018). A bi-objective robust inspection planning model in a multi-stage serial production system. International Journal of Production Research, 56, 1432-1457. Park, T., Kwon, H. M., Hong, S. H., & Lee, M. K. (2011). The optimum common process mean and screening limits for a production process with multiple products. Computers & Industrial Engineering, 60, 158-163. Pillai, V. M., & Chandrasekharan, M. P. (2008). An absorbing markov chain model for production systems with rework and scrapping. Computers & Industrial Engineering, 55, 695-706. Rasay, H., Fallahnezhad, M. S., & Zaremehrjerdi, Y. (2017). Application of multivariate control charts for condition based maintenance. International Journal of Engineering, 31, 597-604. Rasay, H., Fallahnezhad, M. S., & Zaremehrjerdi, Y. (2018). Integration of the decisions associated with maintenance management and process control for a series production system. Iranian Journal of Management Studies, 11, 379-405. Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Siadat, A., & Dantan, J. Y. (2018). A novel model for the integrated planning of part quality inspection and preventive maintenance in a linear-deteriorating serial multi-stage manufacturing system. The International Journal of Advanced Manufacturing Technology, 96, 3633-3650. Shokri, S. Z., & Walid, K. Z. (2011). Optimal means for continuous processes in series. European Journal of Operational Research, 210, 618-623. Wang, Z., Wu, Q., & Chai, T. (2004). Optimal-setting control for complicated industrial process and its applications study. Journal of Engineering Practice, 12, 65-74. Zinlong, L., & Enriuedel, C. (2006). Setup adjustment under unknown process parameters and fixed adjustment cost. Journal of Statistical Planning an Inference, 136, 1039 - 1060. | ||
|
آمار تعداد مشاهده مقاله: 474 تعداد دریافت فایل اصل مقاله: 412 |
||