By Topic

Opportunistic production planning through interactive problem solving

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
E. Bertolotti ; AI Dept., Bull R&D Div., Pregnana Milanese, Italy

Some of the methodological aspects that emerged during the design of AERPLAN are presented. The system supports the medium term production planning for the seven plants of an aircraft manufacturing company. Given the tremendous amount of possible plans, an effective support must be able to make different kinds of autonomous decisions, to prune alternatives, during the plan formulation. The complexity of these composite decision processes calls for heuristic search approaches since exact methods cannot be pursued in practice. The authors describe the architectural and methodological approach adopted to cope with this open problem within AERPLAN, a system developed for ALENIA

Published in:

Proceedings Fourth International Conference on Software Engineering and Knowledge Engineering

Date of Conference:

15-20 Jun 1992