Single and Sequential Sampling Plans for Multi-Attribute Products and Multi-Class Lot in Reliability Test

Abstract

Reliability tests are always conducted to evaluate and improve the reliability of critical engineering equipment. Considering that the one hundred percent inspection is too expensive and time-consuming, an effective sampling plan is required to assess the reliability of engineering products. Generally, a product usually has more than one quality characteristic, and sometimes it is necessary to classify both the product and the lot into multiple classes. However, in the previous research, very few scholars have considered the multi-attribute multi-category products and multi-class lot simultaneously. This paper aims to fill in this gap by proposing single and sequential sampling plans for multi-attribute products and multi-class lot. Specifically, in the case of two-attribute three-category products and three-class lot, a single sampling plan and a sequential sampling plan are presented, respectively. The extended operating characteristic functions are derived by using the finite Markov chain imbedding approach. Two designing methods are proposed and the corresponding optimization models are constructed for each sampling plan by analyzing the operating characteristic surfaces.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 10 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.