Using genetic algorithms to solve the multi-product JIT sequencing problem with set-ups

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.38, Iss.12, 2000-08, pp. : 2653-2670

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Coordination of set-ups between two stages of a supply chain using multi-objective genetic algorithms

By Mansouri S. Afshin

International Journal of Production Research, Vol. 43, Iss. 15, 2005-08 ,pp. : 3163-3180

Taylor & Francis Ltd

Access to resources Recommend Favorite

The G-group heuristic to solve the multi-product, sequencing, lot sizing and scheduling problem in flow shops

By Ouenniche J. Boctor F. F.

International Journal of Production Research, Vol. 39, Iss. 1, 2001-01 ,pp. : 81-98

Taylor & Francis Ltd

Access to resources Recommend Favorite

Optimizing the multiple constrained resources product mix problem using genetic algorithms

By Onwubolu G. C. Mutingi M.

International Journal of Production Research, Vol. 39, Iss. 9, 2001-06 ,pp. : 1897-1910

Taylor & Francis Ltd

Access to resources Recommend Favorite

A two-phase genetic algorithm to solve variants of the batch sequencing problem

By Jordan C.

International Journal of Production Research, Vol. 36, Iss. 3, 1998-03 ,pp. : 745-760

Taylor & Francis Ltd

Access to resources Recommend Favorite

Operation sequencing in CAPP using genetic algorithms

By Reddy S.V.B. Shunmugam M. S. Narendran T. T.

International Journal of Production Research, Vol. 37, Iss. 5, 1999-03 ,pp. : 1063-1074

Taylor & Francis Ltd

Access to resources Recommend Favorite