Case and constraint-based apartment construction project planning system: FASTrak-APT

Authors:
Kyoung Jun Lee;Hyun Woo Kim;Jae Kyu Lee;Tae Hwan Kim;Chang Gon Kim;Myoung Kyun Yoon;Eui Jun Hwang;Hyun Jeong Park
Affiliations:
Korea Advanced Institute of Science and Technology, Dept. of MIS, Seoul, Korea;Hyundai Information Technology, Co. Ltd., Seoul, Korea;Korea Advanced Institute of Science and Technology, Dept. of MIS, Seoul, Korea;Hyundai Engineering and Construction, Co., Ltd., Construction Management Dept., Seoul, Korea;Hyundai Information Technology, Co. Ltd., Seoul, Korea;Hyundai Engineering and Construction, Co., Ltd., Construction Management Dept., Seoul, Korea;Hyundai Engineering and Construction, Co., Ltd., Construction Management Dept., Seoul, Korea;Hyundai Engineering and Construction, Co., Ltd., Construction Management Dept., Seoul, Korea
Venue:
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Year:
1997

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Abstract

To effectively generate a fast and consistent apartment construction project network, Hyundai and KAIST have developed a case and constraint based project planning expert system for apartment domain, FASTrak-APT, inspired by the fact that human expert project planner uses previous cases for planning a new project and modifies them using her/his knowledge on domain constraints. This largescale, case based and mixed-initiative planning system integrated with intensive constraint-based adaptation utilizes semantic level meta-constraints and human decisions for compensating incomplete cases imbedding specific planning knowledge. The case and constraint based architecture inherently supports cross-checking cases with constraints during the system development and maintenance. This system has drastically reduced the time and effort required for initial project planning, improved the quality and completeness of the generated plans, and is expected to give the company the competitive advantage in contract bids for new contracts.