Economic and economic-statistical designs of auxiliary information based X¯, synthetic and EWMA charts-Reference-Cited by-同舟云学术

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Economic and economic-statistical designs of auxiliary information based X¯, synthetic and EWMA charts

Published:2019-09-17 Issue: Volume: Page:1-29
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Ng Peh Sang¹,Khoo Michael B. C.¹^ORCID,Saha Sajal²,Yeong Wai Chung³

Affiliation:

1. School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia;

2. Department of Mathematics, International University of Business Agriculture and Technology, Dhaka, Bangladesh;

3. School of Mathematical Sciences, Sunway University, Petaling Jaya, Malaysia

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2019.1664575

Reference24 articles.

1. An EWMA-Type Control Chart for Monitoring the Process Mean Using Auxiliary Information

2. Economic design of control charts for monitoring batch manufacturing processes

3. On the constrained economic design of control charts: a literature review

4. A SIMPLIFIED PROCEDURE FOR THE ECONOMIC DESIGN OF CONTROL CHARTS: A UNIFIED APPROACH

5. The Economic Design ofXCharts Used to Maintain Current Control of a Process

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1. Geo-hazards in the North Arabian Sea with special emphasis on Makran Subduction Zone;Earth-Science Reviews;2024-08

2. Economic modelling and optimisation of SPRT-based quality control schemes for individual observations;International Journal of Production Research;2024-05-12

3. Auxiliary information based HEWMA chart using variable sampling interval;Quality & Quantity;2024-04-02

4. A review and critique of auxiliary information-based process monitoring methods;Quality Technology & Quantitative Management;2022-08-08

5. Economic-Statistical Performance of Auxiliary Information-Based Maximum EWMA Charts for Monitoring Manufacturing Processes;Mathematics;2022-07-02

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