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Development of an empirically based model for the effective and efficient analysis, processing and use of customer complaint information

Development of an empirically based model for the effective and efficient analysis, processing and use of customer complaint information
开发基于经验的模型,用于有效和高效地分析、处理和使用客户投诉信息
批准号:
182065375
负责人:
Professor Dr.-Ing. Robert Schmitt
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2010
资助国家:
德国
项目状态:
已结题
起止时间:
2009-12-31 至 2018-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
Complaint information is often used only for the disposal of current errors and rarely for the improvement of product quality of current and subsequent products generations, although customer complaints involve a high potential for these purposes. With the aim to provide a basis for the scientific study of this phenomenon, a design model for the technical complaint management was developed in the first application period of the research project. Content of this design model are instructions and structuring aids for the implementation and organization of a quality-oriented technical complaint management in companies. In order to assess the relevance of the described design model for the technical complaint management, it has been evaluated in an empirical study. Aside from the measurement of the relevance of the proposed model, the general effect of complaint management activities for the construct "quality" was examined.The results of the study confirm the design of the model and point out the positive effect of complaint management to the corporate quality. However, it also demonstrates the low long-term effect of the significant activities of technical complaints management (data organization, failure identification, failure correction). The need for a process module for a long-term knowledge transfer, with the purpose of increasing the sustainability, is reflected in its significant effect on failure recurrence of the companies surveyed. For this reason, an extension of the technical complaint management activities by a knowledge management approach seems sensible.The aim of the second research period is to develop a decision model for the use and transfer of information, that arises during the processing of complaints (complaint information) with the aim of sustainable complaint management. For this purpose, the procedure builds on the already developed design model. In particular, the phase of the knowledge transfer is considered in more detail. Explicitly it will be examined how the long-term effect of complaint handling can be improved through the use of knowledge-based methods. The long-term effect is described by the construct of "corporate quality", which has been used in the first project period. But this time, it only relates to the following product generations. Therefor the main focus lies on the interface of complaint management and for product and process development. The developed model allows a decision of on scenarios for the use of knowledge-based methods in technical complaint management based on essential organizational descriptors.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1080/10686967.2019.1689801
发表时间: 2020
期刊: Quality Management Journal
影响因子: --
作者: [Ruessmann, Maximilian, Hellebrandt, Thomas, Ulrich, Telpis, Rutten, Schmitt, Robert H.]
通讯作者: Robert H.
Knowledge management framework for complaint knowledge transfer to product development
将投诉知识转移到产品开发的知识管理框架
DOI: 10.1016/j.promfg.2018.02.108
发表时间: 2017
期刊: Procedia Manufacturing
影响因子: --
作者: [Hellebrandt, Schmitt]
通讯作者: Schmitt
ANP-based knowledge management solutions framework for the long-term complaint knowledge transfer
基于ANP的长期投诉知识转移知识管理解决方案框架
DOI: 10.1080/14783363.2018.1486554
发表时间: 2018
期刊: Total Quality Management & Business Excellence
影响因子: 3.9
作者: [Hellebrandt, Schmitt]
通讯作者: Schmitt
Transfer of measurement uncertainties to reduce the effort required for proof of suitability (MessAgE)
Development of a robotic measuring system for the equivalence analysis of surface materials by using sensor fusion
Automated extraction of customer needs from customer reviews for the enhancement of the innovative capacity
MUKOM - Cost-efficient determination of the measurement uncertainty of complex measurement processes
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