Developing scheduling systems for Daewoo Shipbuilding: DAS project

Jae Kyu Lee; Kyoung Jun Lee; Hung Kook Park; June Seok Hong; Jung Seung Lee

doi:10.1016/S0377-2217(96)00205-6

Developing scheduling systems for Daewoo Shipbuilding: DAS project

Jae Kyu Lee
, Kyoung Jun Lee
, Hung Kook Park
, June Seok Hong
, Jung Seung Lee

Research output: Contribution to journal › Article › peer-review

116 Citations (Scopus)

Abstract

Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, had difficulties with planning and scheduling its production process. To solve the problems, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo have been jointly performing the DAS (DAewoo Shipbuilding Scheduling) Project for three years, from 1991 to 1993. To develop the integrated scheduling systems, several technological breakthroughs were necessary such as hierarchical architecture between systems, constraint directed graph search, spatial scheduling, dynamic assembly line scheduling, and neural network based man-hours estimation. Besides these technological research issues, we adopted the phased development strategy, which consists of three phases of vision revelation, data dependent realization, and prospective enhancement. The DAS systems were successfully launched in January 1994 and are being actively used as indispensable systems in the shipyard resulting in a significant improvement in productivity and reengineering of the scheduling process.

Original language	English
Pages (from-to)	380-395
Number of pages	16
Journal	European Journal of Operational Research
Volume	97
Issue number	2
DOIs	https://doi.org/10.1016/S0377-2217(96)00205-6
Publication status	Published - 1 Mar 1997

Bibliographical note

Funding Information:
This paper has adopted a part from the authors' proceeding paper in the Innovative Applications of Artificial Intelligence (Lee et al., 1995a). This research is funded by Daewoo Heavy Industries Ltd. (DHI) in Korea. We are particularly grateful to ex-vice-president Dong Kyu Park; executive directors Wan Chul Suh, Yang Bin Cho, Hee Gyu Kim, department manager Se Jin Jang; section manager Gwang Joo Lee; and Mr. Sang Soon Im and Mr. Yong Chul Kim for their cooperation in knowledge acquisition. We also would like to thank the members of DAS Project team at KAIST and Daewoo.

Keywords

Artificial intelligence
Manufacturing Industries
Scheduling
Shipbuilding

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10.1016/S0377-2217(96)00205-6

Cite this

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title = "Developing scheduling systems for Daewoo Shipbuilding: DAS project",

abstract = "Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, had difficulties with planning and scheduling its production process. To solve the problems, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo have been jointly performing the DAS (DAewoo Shipbuilding Scheduling) Project for three years, from 1991 to 1993. To develop the integrated scheduling systems, several technological breakthroughs were necessary such as hierarchical architecture between systems, constraint directed graph search, spatial scheduling, dynamic assembly line scheduling, and neural network based man-hours estimation. Besides these technological research issues, we adopted the phased development strategy, which consists of three phases of vision revelation, data dependent realization, and prospective enhancement. The DAS systems were successfully launched in January 1994 and are being actively used as indispensable systems in the shipyard resulting in a significant improvement in productivity and reengineering of the scheduling process.",

keywords = "Artificial intelligence, Manufacturing Industries, Scheduling, Shipbuilding",

author = "Lee, \{Jae Kyu\} and Lee, \{Kyoung Jun\} and Park, \{Hung Kook\} and Hong, \{June Seok\} and Lee, \{Jung Seung\}",

note = "Funding Information: This paper has adopted a part from the authors' proceeding paper in the Innovative Applications of Artificial Intelligence (Lee et al., 1995a). This research is funded by Daewoo Heavy Industries Ltd. (DHI) in Korea. We are particularly grateful to ex-vice-president Dong Kyu Park; executive directors Wan Chul Suh, Yang Bin Cho, Hee Gyu Kim, department manager Se Jin Jang; section manager Gwang Joo Lee; and Mr. Sang Soon Im and Mr. Yong Chul Kim for their cooperation in knowledge acquisition. We also would like to thank the members of DAS Project team at KAIST and Daewoo.",

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doi = "10.1016/S0377-2217(96)00205-6",

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AU - Lee, Jung Seung

N1 - Funding Information: This paper has adopted a part from the authors' proceeding paper in the Innovative Applications of Artificial Intelligence (Lee et al., 1995a). This research is funded by Daewoo Heavy Industries Ltd. (DHI) in Korea. We are particularly grateful to ex-vice-president Dong Kyu Park; executive directors Wan Chul Suh, Yang Bin Cho, Hee Gyu Kim, department manager Se Jin Jang; section manager Gwang Joo Lee; and Mr. Sang Soon Im and Mr. Yong Chul Kim for their cooperation in knowledge acquisition. We also would like to thank the members of DAS Project team at KAIST and Daewoo.

PY - 1997/3/1

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N2 - Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, had difficulties with planning and scheduling its production process. To solve the problems, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo have been jointly performing the DAS (DAewoo Shipbuilding Scheduling) Project for three years, from 1991 to 1993. To develop the integrated scheduling systems, several technological breakthroughs were necessary such as hierarchical architecture between systems, constraint directed graph search, spatial scheduling, dynamic assembly line scheduling, and neural network based man-hours estimation. Besides these technological research issues, we adopted the phased development strategy, which consists of three phases of vision revelation, data dependent realization, and prospective enhancement. The DAS systems were successfully launched in January 1994 and are being actively used as indispensable systems in the shipyard resulting in a significant improvement in productivity and reengineering of the scheduling process.

AB - Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, had difficulties with planning and scheduling its production process. To solve the problems, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo have been jointly performing the DAS (DAewoo Shipbuilding Scheduling) Project for three years, from 1991 to 1993. To develop the integrated scheduling systems, several technological breakthroughs were necessary such as hierarchical architecture between systems, constraint directed graph search, spatial scheduling, dynamic assembly line scheduling, and neural network based man-hours estimation. Besides these technological research issues, we adopted the phased development strategy, which consists of three phases of vision revelation, data dependent realization, and prospective enhancement. The DAS systems were successfully launched in January 1994 and are being actively used as indispensable systems in the shipyard resulting in a significant improvement in productivity and reengineering of the scheduling process.

KW - Artificial intelligence

KW - Manufacturing Industries

KW - Scheduling

KW - Shipbuilding

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ER -

Developing scheduling systems for Daewoo Shipbuilding: DAS project

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Keywords

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