engleski

Analysing the Shape of an OC Curve for an Acceptance Sampling Plan: A Quality Management Tool.

The paper presented the results of the research of elements determining an operating characteristic (OC) curve of specified acceptance sampling plans and gave the evidence that certain relationships of direct or indirect proportionality among these elements existed. Relationships between sampling risks and other elements inbuilt in a single acceptance sampling plan were considered. Average Quality Level desired by the consumer (AQL), and quality level called Lot Tolerance Percent Defective (LTPD) or the worst level of quality that the consumer may tolerate, were both considered. The producer’ s risk was the risk that the sampling plan will fail to verify an acceptable lot’ s quality set by AQL and, thus, reject it. The probability of acceptance a lot with LTPD quality was expressed as the consumer’ s risk . The OC curve pertained to a specific plan, i.e. to a combination of the sample size n and the acceptance criterion or level c. Using ExcelOM2 software, the following findings were found: (1) with c, AQL and LTPD fixed, the increasing sample size n resulted with the risk increased and the risk decreased ; and (2) with n, AQL and LTPD fixed, the increasing critical value c implicated that the risk decreased, but the risk increased ; (3) if AQL was increased, with all other components n, c, and LTPD fixed, then producer’ s risk would increased, but consumer’ s risk would remain the same ; and, (4) if LTPD is increased, with all other components n, c and AQL fixed, would remain the same, while would decrease. In this paper some previous research results from studying risk and risk in audit sampling based on acceptance sampling applications from [1] were shortly presented.

Acceptance sampling plan; Operations characteristic (OC) curve; Consumer’ s risk; Producer’ s risk; Acceptable quality level; Lot tolerance percent defective; Statistical quality control; Quality management.

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