ISSN(Online): 2320-9801 ISSN (Print): 2320-9798 International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 3, March 2015 Copyright to IJIRCCE 10.15680/ijircce.2015.0303002 1410 Construction and Selection of Six Sigma Quick Switching Sampling System: Sample Size Tightening Dr. D. Senthilkumar 1 , B. Esha Raffie 2 Associate Professor, Department of Statistics, PSG College of Arts & Science, Coimbatore, India 1* Research Scholar, Department of Statistics, PSG College of Arts & Science, Coimbatore, India 2 ABSTRACT: Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects in any process, from manufacturing to transactional and from product to service. The statistical representation of Six Sigma describes quantitatively how a process is performing. To achieve Six Sigma, a process must not produce more than 3.4 defects per million opportunities. A Six Sigma defect is defined as anything outside of customer specifications. A Six Sigma opportunity is then the total quantity of chances for a defect. In this article, desining of Six Sigma Quick Switching Variables Sampling System [SSQSVSS(n N ,n T ;k)] indexed by Six Sigma Quality Level's is presented. Procedures are indicated and tables are constructed for designing the system indexed by six sigma quality levels, viz., six sigma acceptable quality level (SSAQL) and six sigma limiting quality level (SSLQL). KEY WORDS: Quick Switching Sampling System, Variables Sampling Plan, OC Function, SSAQL and SSLQL. I. INTRODUCTION In quality control, the statistical procedure employed in determining whether to accept or reject a production batch. If the proportion of the units having a certain negative characteristic exceeds the acceptable limit for a given batch, it is rejected. Two types of acceptance sampling are (1) attributes sampling, in which the presence or absence of a characteristic in the inspected item is only taken note of, and (2) variable sampling, in which the presence or absence of a characteristic in the inspected item is measured on a predetermined scale. Dodge (1967) proposed a sampling system called a 'quick switching system' (QSS), consisting of pairs of normal and tightened plans. The implication of the system is as follows: (1) Adopt a pair of sampling plans--a normal plan (N) and a tightened plan (T). (2) Use plan N for the first lot (optional, but can start with plan T). (3) For each lot inspected, if the lot is accepted, then use plan N for the next lot; if the lot is rejected, then use plan T for the next lot. Romboski (1969) studied the QSS with the single-sampling plan as a reference plan and introduced a system designated as QSS(n, kn; c 0 ), where (n, c 0 ) and (kn, c 0 ), k > 1 are respectively the normal and the tightened single- sampling plans. It is found that this system requires a lower average sample number (ASN) than that of its equivalent single-sampling plan. Also, the system offers an operating characteristic (OC) curve, referred to as a 'composite OC curve', which is more discriminating than the OC curves of corresponding normal and tightened single-sampling plans. Govindaraju (1991), Deveraj Arumainayagam (1991) and Taylor (1996) investigated how to evaluate and select quick switching systems. Soundarajan and Palanivel (1997 & 2000) have investigated on a quick switching variables sampling (QSVS) systems. Radhakrishnan and Sivakumaran (2008) have developed the procedure for the construction of six sigma repetitive group sampling plans of type (n 1 , n 2 ; c)indexed by six sigma quality levels with attributes sampling plan as a reference plan. Senthilkumar and Esha Raffie (2012) have designed the procedure for six sigma quick switching variables sampling system indexed by six sigma quality levels.