首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:TAXONOMY FOR INDUSTRIAL DATA BASE TO IMPROVE OPERATIONS MANAGEMENT INFORMATION SYSTEM
  • 本地全文:下载
  • 作者:Shamsuddin Ahmed
  • 期刊名称:Issues in Information Systems
  • 印刷版ISSN:1529-7314
  • 出版年度:2003
  • 卷号:4
  • 页码:1-6
  • 出版社:International Association for Computer Information Systems
  • 摘要:To classify equipments regardless of their manufacturer, the KKS, a product classification system, provides the required features to develop Plant Data Management Information System (PDMIS). Equipment items have one status at any one time. Equipment installed in a plant is assigned to a group with the KKS nomenclature system. In process plant, products of the same type are employed several times. The KKS coding rule allows other data structures with the plant designation code to be created and linked. The system assigns successive ID code to each item of equipment. All types of technical data are managed in the PDMIS with respect to technical characteristics. The plant data management information system (PDMIS) is a powerful plant configuration management tool that can be accessed from other applications and serves as common interface. Using plant documentation system and the PDMIS, detailed information of the respective plant can be developed to a range of requirements. This paper addresses the important features, attributes that are needed to develop the PDMIS using KKS taxonomy. The KKS plant database helps to develop quality assured services and administration of plant components.
  • 关键词:KKS; Information System; Power Plant; Operations Management; Industrial Data;Base
国家哲学社会科学文献中心版权所有