Daewoo Shipbuilding Company, one of the largest shipbuilders in the wo
rld, has experienced a great deal of trouble with the planning and sch
eduling of its production process. To solve the problems, from 1991 to
1993, Korea Advanced Institute of Science and Technology (KAIST) and
Daewoo jointly conducted the Daewoo Shipbuilding Scheduling (das) Proj
ect. To integrate the scheduling expert systems for shipbuilding, we u
sed a hierarchical scheduling architecture. To automate the dynamic sp
atial layout of objects in various areas of the shipyard, we developed
spatial scheduling expert systems. For reliable estimation of person-
hour requirements, we implemented the neural network-based person-hour
estimator. In addition, we developed the paneled-block assembly shop
scheduler and the long range production planner. For this large-scale
project, we devised a phased development strategy consisting of three
phases: (1) vision revelation, (2) data-dependent realization, and (3)
prospective enhancement. The DAS systems were successfully launched i
n January 1994 and are actively being used as indispensable systems in
the shipyard, resulting in significant improvement in productivity an
d visible and positive effects in many areas.