Open AccessEconomical Efficiency of the AOQL Plans for Inspection by Variables and their Calculations
Author(s) -
Jindřich Klůfa,
Markéta Arltová,
Josef Arlt
Publication year - 2022
Publication title -
international journal of economics and statistics
Language(s) - English
Resource type - Journals
ISSN - 2309-0685
DOI - 10.46300/9103.2022.10.23
Subject(s) - remainder , computer science , sample (material) , sampling (signal processing) , acceptance sampling , software , operations research , statistics , mathematics , sample size determination , arithmetic , programming language , chemistry , filter (signal processing) , chromatography , computer vision
In this paper we shall deal with the AOQL single sampling plans when the remainder of rejected lots is inspected. We shall consider two types of AOQL plans - for inspection by variables and for inspection by variables and attributes (all items from the sample are inspected by variables, remainder of rejected lots is inspected by attributes). These plans we shall compare with the corresponding Dodge-Romig AOQL plans by attributes. We shall report on an algorithm allowing the calculation of these plans when the non-central t distribution is used for the operating characteristic. The calculation is considerably difficult, we shall use an original method and software Mathematica. From the results of numerical investigations it follows that under the same protection of consumer the AOQL plans for inspection by variables are in many situations more economical than the corresponding Dodge- Romig attribute sampling plans (saving of the inspection cost is 70% in any cases).