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Integrated management of facility, process, and output: data model perspective

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Abstract

As the manufacturing industry matures, vast amounts of data related to products are created by many kinds of engineering systems during the manufacturing phase. These include data for a variety of facilities, manufacturing processes, and the input and output of each process (input material, by-products, and intermediate and final products). Effective operation and maintenance of manufacturing facilities and eco-friendly products are gradually becoming important issues due to increased environmental regulations and changes in the enterprise business model. For this reason, increased efficiency in data management is necessary in the manufacturing industry. In this paper, existing data models for the integration of lifecycle data are analyzed according to their application domains. After the analysis, information requirements for the integrated management of facility, process, and output data are developed. According to these requirements, a data model appropriate for this integration is proposed. As an application case study, the use of the proposed data model for the effective operation and maintenance of manufacturing facilities is presented. Finally, benefit, limitation, and improvement of the proposed data model are discussed.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Gusong-dong, Yuseong-gu, Daejeon, 305-701, South Korea

    Seunghoon Lee

  2. Division of Ocean Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, South Korea

    Soonhung Han

  3. Department of Precision Mechanical Engineering, Kyungpook National University, 386 Gajang-dong, Sangju, Gyeongsangbuk-do, 742-711, South Korea

    Duhwan Mun

Authors
  1. Seunghoon Lee
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  2. Soonhung Han
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  3. Duhwan Mun
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Correspondence to Duhwan Mun.

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Lee, S., Han, S. & Mun, D. Integrated management of facility, process, and output: data model perspective. Sci. China Inf. Sci. 55, 994–1007 (2012). https://doi.org/10.1007/s11432-012-4555-1

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  • DOI: https://doi.org/10.1007/s11432-012-4555-1

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