• S.Murali

A Queueing system comprises of batches or lots arriving for service, waiting for service, and then leaving the system after service. In Quality Control literature, the group of lots/batches arrive for testing, wait for testing, and then leave the system after acceptance or rejection of the entire batches or lots. Hence the arrival of incoming lots can be considered as Poisson input and the service time can be considered as exponential output. In this article a new designing algorithm is given for the selection of acceptance sampling plans from a M/M/C/K Queuing process. Lots come in a Queueing policy and waits for the service. Here service is meant only for testing the lot and making the decision about the lot. A novel algorithm is given for sentencing the number of lots in a production process. The sampling plans are developed based on the maximum number of arrivals (K) in the Queueing system. The parameters of the Queueing policy are derived and hence the parameters of the sampling plans are determined. Tables are constructed to select the appropriate sampling plans.

Expected number of arrivals, M/M/C/K Production process, Sampling Plans, Traffic intensity,

"M/M/C/K QUEUEING PROCESS AND ITS DESIGNING SELECTION OF ACCEPTANCE SAMPLING PLANS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.61-66, June-2018, Available :http://www.jetir.org/papers/JETIR1806510.pdf

"M/M/C/K QUEUEING PROCESS AND ITS DESIGNING SELECTION OF ACCEPTANCE SAMPLING PLANS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp61-66, June-2018, Available at : http://www.jetir.org/papers/JETIR1806510.pdf