An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives-Reference-Cited by-同舟云学术

An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives

Published:2001-07 Issue:3 Volume:15 Page:309-317
ISSN:0954-1810
Container-title:Artificial Intelligence in Engineering
language:en
Short-container-title:Artificial Intelligence in Engineering

Author:

McMullen Patrick R.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference16 articles.

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3. McMullen PR. Using search heuristics and an efficient frontier approach to address JIT sequencing problems with setups. Proceedings of the YOR 11 Conference, Cambridge, England. 2000.

4. An effective mixed-model assembly line sequencing heuristic for just-in-time production systems;Ding;J Oper Management,1993

5. JIT sequencing for mixed-model assembly lines with setups using tabu search;McMullen;Production Plann Control,1998

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