Determining economic manufacturing quantity, the optimum process parameters based on Taguchi quadratic quality loss function under rectifying inspection plan

Ismail Al-Me'raj*, Yahya Cinar, S. O. Duffuaa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The problem of determining the optimal economic manufacturing quantity and the optimal process parameters is an important problem in production and quality control. This problem has been addressed by Chen and Lai using profit maximization as a criterion to obtain the optimal manufacturing quantity and the mean of the process. In this paper Chen and Lai has been extended to determine the optimal manufacturing quantity, the mean and the variance of the process and the specification limits using rectifying inspection. The simulated annealing approach has been applied to obtain the optimal solution. The utility of the model is demonstrated via a realistic example. The model developed can be utilized to determine the optimal economic manufacturing quantity and process target simultaneously and is expected to provide more insights in managing this important problem.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Pages1348-1353
Number of pages6
DOIs
StatePublished - 2011

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Keywords

  • Economic manufacturing quantity
  • Process variance
  • asymmetric quadratic quality loss function
  • rectifying inspection plan
  • simulated annealing

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Determining economic manufacturing quantity, the optimum process parameters based on Taguchi quadratic quality loss function under rectifying inspection plan'. Together they form a unique fingerprint.

Cite this