Skip to main content
padlock icon - secure page this page is secure

Modelling of job-shop scheduling with multiple quantitative and qualitative objectives and a GA/TS mixture approach

Buy Article:

$61.00 + tax (Refund Policy)

In this research, an integrated approach to modelling the job shop scheduling problems, along with a genetic algorithm/tabu search mixture solution approach, is proposed. The multiple objective functions modelled include both multiple quantitative (time and production) and multiple qualitative (marketing) objectives. In addition, realistic issues, such as the uncertainty aspect, rescheduling, relative importance of criteria, and alternative process plans with the GA/TS approach, are also modelled within the framework of the multi-objective functions, with the aids of fuzzy set theory, the analytic hierarchy process, and dynamic probability distribution. The implementation of the genetic algorithm/tabu search solution approach and the rescheduling scheme is supported and demonstrated by illustrative examples and computational results by this approach.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: August 1, 2001

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more