Title: Markovian Decision Models for the Evaluation of a Large Class of Continuous Sampling Inspection Plans Classic Reprint
Publisher: Forgotten Books
Publication Date: 2019
Language: English
ISBN 10: 0365148792
ISBN 13: 9780365148791
Binding: HRD
Condition: New
Weight: 322 grams

About this title

Synopsis

Optimize quality with a mathematical approach to inspection plans

This book delivers a rigorous framework for evaluating continuous sampling inspection plans and their outcomes. It explains how decision rules and sampling strategies affect the flow of defectives and the overall quality of production.

Readers will explore how Dodge-type continuous sampling plans are designed, analyzed, and compared using Markovian models and linear programming. The text shows how to express inspection levels, release numbers, and transition rules, and it demonstrates methods to compute the unre�stricted average outgoing quality limit (UAOQL) for different plan classes. Concrete examples, including CSP-1, illustrate how theory translates into practical inspection decisions.

Understand the key concepts: sampling levels, release numbers, inspection rules, and transition decisions.
Learn how to model plan behavior as Markov processes and optimize with linear programming.
See how different inspection strategies influence the flow of defectives and the final product quality.
Apply the framework to evaluate and compare Dodge-type continuous sampling plans.

Ideal for readers of graduate-level operations research or quality control who want a solid, math-based method for assessing and improving continuous inspection systems.

"About this title" may belong to another edition of this title.

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