Joint production and quality control of unreliable batch manufacturing systems with rectifying inspection

References

• Ben-Daya, M., and S. Noman. 2008. “Integrated inventory and inspection policies for stochastic demand.” European Journal of Operational Research 185 (1): 159–169.
   Web of Science ®Google Scholar
• Ben-Daya, M., S. Noman, and M. Hariga. 2006. “Integrated inventory control and inspection policies with deterministic demand.” Computers & Operations Research 33 (6): 1625–1638.
   Web of Science ®Google Scholar
• Besterfield, D. H. 2009. Quality control. Upper Saddle River, NJ: Pearson Prentice Hall.
   Google Scholar
• Bielecki, T., and P. Kumar. 1988. “Optimality of zero-inventory policies for unreliable manufacturing systems.” Operations Research 36: 532–541.
   Web of Science ®Google Scholar
• Bouslah, B., A. Gharbi, R. Pellerin, and A. Hajji. 2013. “Optimal production control policy in unreliable batch processing manufacturing systems with transportation delay.” International Journal of Production Research 51 (1): 264–280.
   Web of Science ®Google Scholar
• Chakraborty, T., B. Giri, and K. Chaudhuri. 2009. “Production lot sising with process deterioration and machine breakdown under inspection schedule.” Omega 37 (2): 257–271.
   Web of Science ®Google Scholar
• Chiu, S. W., S. L. Wang, and Y. S. P. Chiu. 2007. “Determining the optimal run time for EPQ model with scrap, rework, and stochastic breakdowns.” European Journal of Operational Research 180 (2): 664–676.
   Web of Science ®Google Scholar
• Chung, K. J. 2003. “Approximations to production lot sizing with machine breakdowns.” Computers & Operations Research 30 (10): 1499–1507.
   Web of Science ®Google Scholar
• Chung, K. J., and K. L. Hou. 2003. “An optimal production run time with imperfect production processes and allowable shortages.” Computers & Operations Research 30 (4): 483–490.
   Web of Science ®Google Scholar
• Ercan, S. S., M. Z. Hassan, and A. Taulananda. 1974. “Cost minimising single sampling plans with AIQL and AOQL constraints.” Management Science 20 (7): 1112–1121.
   Web of Science ®Google Scholar
• Ferrell, W. G., and A. Chhoker. 2002. “Design of economically optimal acceptance sampling plans with inspection error.” Computers & Operations Research 29 (10): 1283–1300.
   Web of Science ®Google Scholar
• Fu, M. C. 1994. “Optimisation via simulation: A review.” Annals of Operations Research 53 (1): 199–247.
   Google Scholar
• Gharbi, A., and J. Kenne. 2000. “Production and preventive maintenance rates control for a manufacturing system: an experimental design approach.” International Journal of Production Economics 65 (3): 275–287.
   Web of Science ®Google Scholar
• Groenevelt, H., L. Pintelon, and A. Seidmann. 1992a. “Production batching with machine breakdowns and safety stocks.” Operations Research 40 (5): 959–971.
   Web of Science ®Google Scholar
• Groenevelt, H., L. Pintelon, and A. Seidmann. 1992b. “Production lot sizing with machine breakdowns.” Management Science 38 (1): 104–123.
   Web of Science ®Google Scholar
• Hossein Safisadeh, M., and B. M. Thornton. 1984. “Optimisation in simulation experiments using response surface methodology.” Computers & Industrial Engineering 8 (1): 11–27.
   Web of Science ®Google Scholar
• Inman, R. R., D. E. Blumenfeld, N. Huang, and J. Li. 2003. “Designing production systems for quality: research opportunities from an automotive industry perspective.” International Journal of Production Research 41 (9): 1953–1971.
   Web of Science ®Google Scholar
• Kim, C. H., and Y. Hong. 1999. “An optimal production run length in deteriorating production processes.” International Journal of Production Economics 58 (2): 183–189.
   Web of Science ®Google Scholar
• Kim, C. H., Y. Hong, and S. Y. Kim. 1997. “An extended optimal lot sising model with an unreliable machine.” Production Planning & Control 8 (6): 577–585.
   Web of Science ®Google Scholar
• Lavoie, P., A. Gharbi, and J. P. Kenné. 2010. “A comparative study of pull control mechanisms for unreliable homogenous transfer lines.” International Journal of Production Economics 124 (1): 241–251.
   Web of Science ®Google Scholar
• Lavoie, P., J. P. Kenné, and A. Gharbi. 2007. “Production control and combined discrete/continuous simulation modeling in failure-prone transfer lines.” International Journal of Production Research 45 (24): 5667–5685.
   Web of Science ®Google Scholar
• Lee, H. L., and M. J. Rosenblatt. 1987. “Simultaneous determination of production cycle and inspection schedules in a production systems.” Management Science 33 (9): 1125–1136.
   Web of Science ®Google Scholar
• Li, J., A. Sava, and X. Xie. 2009. “An analytical approach for performance evaluation and optimisation of a two-stage production-distribution system.” International Journal of Production Research 47 (2): 403–414.
   Web of Science ®Google Scholar
• Liao, G. L., Y. H. Chen, and S. H. Sheu. 2009. “Optimal economic production quantity policy for imperfect process with imperfect repair and maintenance.” European Journal of Operational Research 195 (2): 348–357.
   Web of Science ®Google Scholar
• Montgomery, D. C. 2008. Design and analysis of experiments. New York: John Wiley & Sons Inc.
   Google Scholar
• Moskowitz, H., and W. L. Berry. 1976. “A Bayesian algorithm for determining optimal single sample acceptance plans for product attributes.” Management Science 22 (11): 1238–1250.
   Web of Science ®Google Scholar
• Moskowitz, H., A. Ravindran, and J. M. Patton. 1979. “An algorithm for selecting an optimal acceptance plan in quality control and auditing.” International Journal of Production Research 17 (6): 581–594.
   Web of Science ®Google Scholar
• Mourani, I., S. Hennequin, and X. Xie. 2008. “Simulation-based optimisation of a single-stage failure-prone manufacturing system with transportation delay.” International Journal of Production Economics 112 (1): 26–36.
   Web of Science ®Google Scholar
• Pegden, C. D., R. P. Sadowski, and R. E. Shannon. 1995. Introduction to simulation using SIMAN. New York: McGraw-Hill.
   Google Scholar
• Peters, M. H., H. Schneider, and K. Tang. 1988. “Joint determination of optimal inventory and quality control policy.” Management Science 34 (8): 991–1004.
   Web of Science ®Google Scholar
• Porteus, E. L. 1986. “Optimal lot sizing, process quality improvement and setup cost reduction.” Operations Research 34 (1): 137–144.
   Web of Science ®Google Scholar
• Rahim, M., and M. Ben-Daya. 1998. “A generalised economic model for joint determination of production run, inspection schedule and control chart design.” International Journal of Production Research 36 (1): 277–289.
   Web of Science ®Google Scholar
• Ravindran, A., W. S. Shin, J. L. Arthur, and H. Moskowitz. 1986. “Nonlinear integer goal programming models for acceptance sampling.” Computers & Operations Research 13 (5): 611–622.
   Web of Science ®Google Scholar
• Rosenblatt, M. J., and H. L. Lee. 1986. “Economic production cycles with imperfect production processes.” IIE Transactions 18 (1): 48–55.
   Web of Science ®Google Scholar
• Salameh, M., and M. Jaber. 2000. “Economic production quantity model for items with imperfect quality.” International Journal of Production Economics 64 (1): 59–64.
   Web of Science ®Google Scholar
• Sana, S. S., and K. Chaudhuri. 2010. “An EMQ model in an imperfect production process.” International Journal of Systems Science 41 (6): 635–646.
   Web of Science ®Google Scholar
• Schilling, E. G., and D. V. Neubauer. 2009. Acceptance sampling in quality control. Boca Raton: Chapman & Hall/CRC.
   Google Scholar
• Wetherill, G., and W. Chiu. 1975. “A review of acceptance sampling schemes with emphasis on the economic aspect.” International Statistical Review/Revue Internationale de Statistique 43 (2): 191–210.
   Web of Science ®Google Scholar