Open Science Research Excellence
@article{(International Science Index):,
  title    = {Evaluating 8D Reports Using Text-Mining},
  author    = {Benjamin Kuester and  Bjoern Eilert and  Malte Stonis and  Ludger Overmeyer },
  country   = {Germany},
  institution={Leibniz University Hanover},
  abstract  = {Increasing quality requirements make reliable and effective quality management indispensable. This includes the complaint handling in which the 8D method is widely used. The 8D report as a written documentation of the 8D method is one of the key quality documents as it internally secures the quality standards and acts as a communication medium to the customer. In practice, however, the 8D report is mostly faulty and of poor quality. There is no quality control of 8D reports today. This paper describes the use of natural language processing for the automated evaluation of 8D reports. Based on semantic analysis and text-mining algorithms the presented system is able to uncover content and formal quality deficiencies and thus increases the quality of the complaint processing in the long term.
  {International Journal of Computer and Information Engineering },  volume    = {12},
  number    = {4},
  year      = {2018},
  pages     = {235 - 240},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 136, 2018},