Acceptance X-bar chart considering the sample distribution of capability indices, Cˆp and Cˆpk: A practical and economical approach. Issue 6 (3rd June 2019)

• Record Type: Journal Article
• Authors: Oprime, Pedro Carlos; Lizarelli, Fabiane Leticia; Pimenta, Marcio Lopes; Achcar, Jorge Alberto
• Is Part Of: International journal of quality & reliability management. Volume 36:Issue 6(2019)
• Page Start: 875
• Page End: 894
• Publication Date: 2019-06-03
• Subjects: Adaptive control chart -- Monitoring capability -- Practical application; Quality control -- Periodicals; 658.562
• DOI: 10.1108/IJQRM-11-2017-0239
• Languages: English
• ISSNs: 0265-671X

Abstract

Abstract : Purpose: The traditional Shewhart control chart, the X-bar and R/S chart, cannot give support to decide when it is not economically feasible to stop the process in order to remove special causes. Therefore, the purpose of this paper is to propose a new control chart design – a modified acceptance control chart, which provides a supportive method for decision making in economic terms, especially when the process has high capability indices. Design/methodology/approach: The authors made a modeling expectation average run length (ARL), which incorporates the probability density function of the sampling distribution of C pk, to compare and analyze the efficiency of the proposed design. Findings: This study suggested a new procedure to calculate the control limits (CL) of the X-bar chart, which allows economic decisions about the process to be made. By introducing a permissible average variation and defining three regions for statistical CL in the traditional X-bar control chart, a new design is proposed. Originality/value: A framework is presented to help practitioners in the use of the proposed control chart. Two new parameters ( C p and C pk ) in addition to m and n were introduced in the expected ARL equation. The C pk is a random variable and its probability function is known. Therefore, by using a preliminary sample of a process under control, the authors can test whether the process is capable or not.