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Modeling knowledge about aseptics from cases of product loss

机译:从产品损失案例中建模有关无菌的知识

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摘要

Summary form only given. Aseptic processing and filling is a food industry technology. No unified applied aseptics knowledge domain exists apart from individual cases of product loss experienced at factories. Case based reasoning technology was selected to develop an information handling system. A prototype system demonstrated the potential advantages. Complex cases of large product loss are relatively rare and often involve conflicting accounts of what actually happened. They proved difficult to interpret retrospectively. The initial focus was on routine cases of reports from production operators, mechanics, quality assurance tests and support material from records such as machine downtime sheets and data loggers on equipment. Models of routine domain knowledge were represented in various, cross-referencing case libraries used both to assist solving and to document complex cases. This initial system can be used to run inductive retrievals of records and reports. Suspect quality assurance samples can be related to evidence of a cause in production reports and records. Detailed trends in problems and faults can be examined and explored.
机译:仅提供摘要表格。无菌加工和填充是食品工业技术。除了在工厂经历的个别产品损失案例外,没有统一的应用无菌知识领域。选择基于案例的推理技术来开发信息处理系统。原型系统展示了潜在的优势。大量产品损失的复杂案例相对少见,并且通常涉及对实际发生情况的相互矛盾的说明。他们被证明很难追溯解释。最初的重点是常规情况下的生产操作员报告,技工,质量保证测试以及记录中的辅助材料,例如机器停机时间表和设备上的数据记录器。例行领域知识的模型在各种交叉引用的案例库中表示出来,这些案例库既用于帮助解决问题,也用于记录复杂的案例。该初始系统可用于运行记录和报告的归纳检索。可疑的质量保证样本可能与生产报告和记录中的原因相关。可以检查和探索问题和故障的详细趋势。

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