DAS intelligent scheduling systems for shipbuilding

Jae Kyu Lee, Kyoung Jun Lee, June Seok Hong, Wooju Kim, Eun Young Kim, Soo Yeoul Choi, Ho Dong Kim, Ok Ryul Yang, Hyung Rim Choi

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, has experienced a great deal of trouble with the planning and scheduling 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) Project. To integrate the scheduling expert systems for shipbuilding, we used a hierarchical scheduling architecture. To automate the dynamic spatial 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 in January 1994 and are actively being used as indispensable systems in the shipyard, resulting in significant improvement in productivity and visible and positive effects in many areas.

Original languageEnglish
Pages (from-to)78-94
Number of pages17
JournalAI Magazine
Issue number4
Publication statusPublished - 1995 Dec

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence


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