NDLI: Monitoring capability study and genetic economic design of X-bar control chart

Content Provider	Springer Nature Link
Author	Shiau, Yau Ren Lin, Meng Hung Chung, I Ping Pan, Yen Ling
Copyright Year	2005
Abstract	Employing automatic gauges is one of the fundamental steps in advanced manufacturing system not only for assuring product quality, but also monitoring process stability. Statistical process control (SPC), therefore, is developed to detect the occurrence of assignable causes so that unnecessary quality costs can be avoided. However, it is necessary to provide a practical way to evaluate the monitoring capability of an automatic gauge for its application. That is, the monitoring capability study should be conducted before applying any automatic gauge on SPC application. The economic SPC chart then can be properly designed. Rather than conventionally considering the relationship between both manufacturing cappability and control limits, gauge capability is further and concurrently considered to analyze the monitoring error of an automatic gauge in this paper. After interpreting the effect of manufacturing capability, gauge capability, and control limits to construct the monitoring error model, furthermore, the engineer can then distinctly evaluate monitoring capability by the expected cost incurred in the SPC process. Also, genetic algorithm is successfully applied to determine the economic design of X-bar control chart with the realistic monitoring error model embedded.
Starting Page	273
Ending Page	278
Page Count	6
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	30
Issue Number	3-4
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-12-01
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Economic design Gauge capability Monitoring capability Monitoring error Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-objective economic statistical design of X-bar control chart considering Taguchi loss function

Process capability-based tolerance design to minimise manufacturing loss

SXC control chart

Procedures for testing manufacturing precision Cpbased on ( $\bar{x}$ ,R) or ( $\bar{x}$ ,S) control chart samples

Control chart system with independent quality characteristics

Performance evaluation of control chart for multiple assignable causes using genetic algorithm

A synthetic control chart for monitoring process dispersion with sample range

Multiple-objective design of an $$\overline{{\user2{X}}} $$ control chart with multiple assignable causes

Robust economic and economic-statistical design of EWMA control chart

Monitoring capability study and genetic economic design of X-bar control chart

Similar Documents

Multi-objective economic statistical design of X-bar control chart considering Taguchi loss function

Process capability-based tolerance design to minimise manufacturing loss

SXC control chart

Procedures for testing manufacturing precision Cpbased on ( $\bar{x}$ ,R) or ( $\bar{x}$ ,S) control chart samples

Control chart system with independent quality characteristics

Performance evaluation of control chart for multiple assignable causes using genetic algorithm

A synthetic control chart for monitoring process dispersion with sample range

Multiple-objective design of an $$\overline{{\user2{X}}} $$ control chart with multiple assignable causes

Robust economic and economic-statistical design of EWMA control chart

Monitoring capability study and genetic economic design of X-bar control chart