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Introduction to MQFD - A Technique for Identifying and Predicting Success and Weakness in a Product Data Management (PDM) System Implementation

机译：MQFD简介 - 一种用于识别和预测产品数据管理（PDM）系统实施中成功和弱点的技术

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As more industries implement Product Data Management (PDM) solutions, the need for better project management tools in this area has never been more evident. This paper introduces techniques based on Quality Function Deployment (QFD) principles that assist project leaders in identifying strengths and weaknesses during PDM implementations. By identifying weaknesses early in PDM implementations, managers have an opportunity to take corrective measures before weaknesses translate into long-term problems after the system becomes fully implemented. The techniques are completely presented, as well as an actual case study where the long-term strengths and weaknesses of a PDM system were accurately predicted using the techniques.

机译：随着越来越多的行业实施产品数据管理（PDM）解决方案，该领域的更好的项目管理工具的需求从未如此明显。本文介绍了基于质量函数部署（QFD）原则的技术，协助项目领导人在PDM实施期间识别优势和劣势。通过在PDM实施早期识别弱点，管理人员有机会在系统完全实施后转化为长期问题之前采取纠正措施。完全呈现的技术，以及使用该技术精确地预测PDM系统的长期强度和弱点的实际情况研究。

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《Industrial Engineering Research Conference》|1999年||共9页
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作者
James McNicol; Leslie Monplasir;
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原文格式 PDF
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中图分类 TB2-53;
关键词
PDM; Product Data Management; PIM; Product Information Management; QFD; Modified QFD; MQFD;

机译：PDM;产品数据管理;PIM;产品信息管理;QFD;修改QFD;MQFD;

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3. Identifying critical factors that predict quality management program success: Data mining analysis of Baldrige award data [J] . Mark R. Jones Quality Control and Applied Statistics . 2015,第4期

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4. Introduction to MQFD - A Technique for Identifying and Predicting Success and Weakness in a Product Data Management (PDM) System Implementation [C] . James McNicol, Leslie Monplasir Industrial Engineering Research Conference . 1999

机译：MQFD简介 - 一种用于识别和预测产品数据管理（PDM）系统实施中成功和弱点的技术
5. Identifying key success factors for the implementation of enterprise content management systems. [D] . Horne, Stephanie Burnett. 2014

机译：确定实施企业内容管理系统的关键成功因素。
6. Does introduction of a Patient Data Management System (PDMS) improve the financial situation of an intensive care unit? [O] . Ixchel Castellanos, Jürgen Schüttler, Hans-Ulrich Prokosch, 2013

机译：引入患者数据管理系统（PDMS）是否可以改善重症监护室的财务状况？
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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Introduction to MQFD - A Technique for Identifying and Predicting Success and Weakness in a Product Data Management (PDM) System Implementation

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