Designing an economic rectifying sampling plan in the presence of two markets

References

• Anscombe, F. J. 1961. Rectifying Inspection of Lots. Journal of the American Statistical Association 56 (296):807–23.
   Web of Science ®Google Scholar
• Antony, J., and M. Kaye. 2000. Experiment quality. Dordrecht, MA: Kluwer Academic Publishers.
   Google Scholar
• Aslam, M., M. S. Fallahnezhad, and M. Azam. 2013 Auguest. Decision Procedure for the Weibull Distribution based on Run Lengths of Conforming Items. Journal of Testing and Evaluation 41 (5):826–32. http://www.astm.org/DIGITAL_LIBRARY/JOURNALS/TESTEVAL/PAGES/JTE20120275.htm(ISI).
   Web of Science ®Google Scholar
• Chen, C. H., and T. Lai. 2007a. Determination of optimum process mean based on quadratic loss function and rectifying inspection plan. European Journal of Operational Research 182:755–63.
   Web of Science ®Google Scholar
• Chen, C. H., and T. Lai. 2007b. Economic manufacturing quantity, optimum process mean and economic specification limits setting under the rectifying inspection plan. European Journal of Operational Research 183:336–44.
   Web of Science ®Google Scholar
• Dodge, H. F., and H. G. Romig. 1929. A method of sampling inspection. Bell Labs Technical Journal 8(4):613–31.
   Google Scholar
• Duffuaa, S. O., U. M. Al-Turki, and A. A. Kolus. 2009a. A process targeting model for a product with two dependent quality characteristic using 100% inspection. International Journal of Production Research 47 (4):1039–53.
   Web of Science ®Google Scholar
• Duffuaa, S. O., U. M. Al-Turki, and A. A. Kolus. 2009b. Process-targeting model for a product with two dependent quality characteristic using acceptance sampling plans. International Journal of Production Research 47 (14):4031–46.
   Web of Science ®Google Scholar
• Duffuaa, S. O., and A. El-Ga'aly. 2013. A multi-objective optimization model for process targeting using sampling plans. Computers & Industrial Engineering 64:309–17.
   Web of Science ®Google Scholar
• Fallah Nezhad, M. S., and A. Ahmadi Yazdi. 2015. Economic design of acceptance sampling plans based on conforming run lengths using loss functions”. Journal of Testing and Evaluation 44 (1):1–8.
   Web of Science ®Google Scholar
• Fallah Nezhad, M. S., and A. Ahmadi Yazdi. 2016a. A new optimization model for designing acceptance sampling plan based on run length of conforming items. International Journal of Industrial and Systems Engineering 9:2.
   Google Scholar
• Fallah Nezhad, M. S., and A. Ahmadi Yazdi. 2016b. An optimization model for economic design of sampling plans based on conforming run length considering outgoing quality. Published Online in Communications in Statistics-Theory and Methods. 10.1080/03610926.2015.1035396.
   Google Scholar
• Fallah Nezhad, M. S., and M. B. Fakhrzad. 2012. Determining an economically optimal (n,c) designing using loss functions. International Journal of Engineering 25 (3):197–201.
   Google Scholar
• Fallah Nezhad, M. S., and H. Hosseini Nasab. 2012. A new Bayesian acceptance sampling plan with considering inspection errors. Scientia Iranica 19 (6):1865–69.
   Web of Science ®Google Scholar
• Fallahnezhad, M. S., and E. Ahmadi. 2014. optimal process adjustment with considering variable costs for uni-variate and multi-variate production process. International Journal Engineering, Islam Reports Iran 27 (4):561–72.
   Google Scholar
• Fallahnezhad, M. S., A. Ahmadi Yazdi, P. Abdollahi, and M. Aslam. 2015. Design of economic optimal double sampling plan design with zero acceptance numbers. Journal of Quality Engineering and Production Optimization 1 (2):45–56.
   Google Scholar
• Fallahnezhad, M. S., and M. Aslam. 2013. A new economical design of acceptance sampling models using bayesian inference. Accred Qualitative Assurance 18:187–95.
   Web of Science ®Google Scholar
• Ferrell, W. G., and J. A. Chhoker. 2002. Design of economically optimal acceptance sampling plans with inspection error. Computers& Operations Research 29:1283–300.
   Web of Science ®Google Scholar
• Huang, E. P., and C. C. Chyu. 2017. Economic Design of a Rectifying Inspection Sampling Procedure for single Specification Limit Products, Working paper, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.519.9972&rep=rep1&type=pdf.
   Google Scholar
• Moskowitz, H., and K. Tang. 1992. Bayesian variables acceptance sampling plans: quadratic loss function and step loss function. Technometrics 34 (3):340–47.
   Web of Science ®Google Scholar
• Pi, W. N., and C. Low. 2005. Supplier evaluation and selection using Taguchi loss functions. The International Journal of Advanced Manufacturing Technology 26:155–60.
   Web of Science ®Google Scholar
• Pulak, M. F., and K. S. Al-Sultan. 1996. The optimum targeting for a single filling operation with rectifying inspection. Omega 24:727–33.
   Web of Science ®Google Scholar
• Quinino, R., L. Ho, and E. Suyama. 2003. Design of economically optimal zero-defect acceptance sampling with rectification when designing errors are present. Pcsquisa Operational 25:29–40.
   Google Scholar
• Ross, P. J. 1996. Taguchi Techniques for Quality Engineering. New York: McGraw-Hill.
   Google Scholar
• Waziri, E. I., and O. J. Braimah. 2016. Impact of inspection errors on single, double and chain inspection sampling plans. Journal of Statistical and Econometric Methods 5 (3):33–59.
   Google Scholar
• Wetherrill, G. B., and W. K. Chiu. 1975. A Review of acceptance sampling schemes with emphasis on the economic aspect. International Statistical Review 43 (2):91–210.
   Web of Science ®Google Scholar
• William, G., W. G. Ferrell Jr., and A. Chhoker. 2002. Design of economically optimal acceptance sampling plans with inspection error. Computers & Operations Research 29:1283–300.
   Web of Science ®Google Scholar