May 14, 2024

Farzad Amiri

Academic rank: Assistant professor
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Education: Ph.D in Industrial Engineering
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Faculty: Faculty of Management Engineering

Research

Title
Economic-statistical design of adaptive X-bar control chart: A Taguchi loss function approach
Type Article
Keywords
Adaptive control chart, Variable sample size, Variable sampling interval, Taguchi loss function, Economic-statistical design
Researchers Farzad Amiri، Kazem Noghondarian، rassoul Noorossana

Abstract

Along with the widespread use of Taguchi methods in product design, de nition of the loss function has been integrated with numerous models which require quality cost estimation. In this paper, the economic-statistical design of a variable sampling X-bar control chart is extended using the Taguchi loss function to improve chart effectiveness from a quality cost point of view. The effectiveness of the proposed schemes is evaluated by comparing optimal expected costs and statistical performance with each other and with the fi xed sampling policy. Results indicate a satisfactory performance for the proposed models.