Development of Shipyard Simulator based on Petri Nets

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概要

• 論文の詳細を見る

• An insufficient production schedule only results in a loss. Hence, the planning the best production schedule has been most significant technical issue for a long time. In shipbuilding industries, the fact is that great experience and intuition of a skilled scheduler are needed to plan the best schedule because of the complicated nature of scheduling problem. A scheduler has to deal with huge amounts of information in a scheduling and consider many kinds of restrictions on production to plan the best schedule. For the purpose of supporting a scheduler properly, either the in-house or the commercial scheduling system has been introduced aggressively. However, most of those systems have not been used effectively because it is hard to generate and input the necessary data (such as work time for all needed tasks) for the scheduling system. In order to support the production scheduling, which is terms of results in more effective production, this paper discusses the next generation system for the product scheduling. The authors have been studying the Computer Integrated Manufacturing system (CIM) and have implemented the prototype CIM named SODAS (System Of Design and Assembly in Shipbuilding). In this system's concept, the product information is organized from a design stage through a production stage by using the product model. Due to using the product model effectively, the authors have implemented the production planning support system for the shipyard. The information on production such as operations and resources is organized, and then the hierarchical operation model and hierarchical factory model are defined in this system. In addition, the authors have implemented the shipyard simulator that can simulate the production activity in the shipyard. This simulator has been integrated with the production planning support system. In this simulator, the Petri Nets are introduced to consider the restrictions on production. Since this simulator is implemented on the production scheduling support system, a scheduler can immediately evaluate his/her schedule when he/she finishes scheduling. A scheduler can change the variety of production conditions and evaluate the efficiency of the planned schedule. Furthermore, this paper discusses the effectiveness of a use of a factory simulator.

• 財団法人日本海事協会の論文

著者

• Hamada Kunihiro

  Department Of Environmental And Ocean Engineering University Of Tokyo

• Aoyama Kazuhiro

  Department Of Environmental And Ocean Engineering Graduate School Of Engineering The University Of T

• Aoyama Kazuhiro

  Department Of Environmental And Ocean Engineering University Of Tokyo

• Nomoto Toshiharu

  Department of Environmental and Ocean Engineering Graduate School of Engineering The University of T

• Takechi Shyoji

  Department of Environmental and Ocean Engineering, University of Tokyo

• Nomoto Toshiharu

  Department Of Environmental And Ocean Engineering University Of Tokyo

• Takechi Shyoji

  Department Of Environmental And Ocean Engineering University Of Tokyo

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