Work

On designing a new VEWMA control chart for efficient process monitoring

Year: 2021

Type: article

Source: Computers & Industrial Engineering

DOI: 10.1016/j.cie.2021.107751

Authors: M. Pear Hossain, Muhammad Riaz

Institutions: Gopalganj Science and Technology University, City University of Hong Kong, King Fahd University of Petroleum and Minerals

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: King Fahd University of Petroleum and Minerals, Deanship of Scientific Research, King Saud University

Award: G114305472

OpenAlex ID: W3206101951

FWCI: 1.309

Cites: 31

Cited by: 17

Related to: 10