دانلود رایگان مقاله تجزیه و تحلیل داده های مدیریت تغییر مهندسی از دیدگاه کیفیت اطلاعات

عنوان فارسی
تجزیه و تحلیل داده های مدیریت تغییر مهندسی از دیدگاه کیفیت اطلاعات
عنوان انگلیسی
Engineering Change Management Data Analysis from the Perspective of Information Quality
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
8
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E5424
رشته های مرتبط با این مقاله
مدیریت
گرایش های مرتبط با این مقاله
مدیریت استراتژیک
مجله
روش تولید - Procedia Manufacturing
دانشگاه
Department of Mechanical Engineering and Industrial Systems - Tampere University of Technology - Finland
کلمات کلیدی
مدیریت چرخه محصول، کیفیت اطلاعات، همکاری، مدیریت تغییر مهندسی، توسعه محصول
چکیده

Abstract


An efficient change management process is vital to companies in order to continuously improve their products. The processing times for Engineering Change Requests (ECR) vary from hours to years. The long processing times lead to unnecessary delays to requested fixes and improvements. This paper is based on analysis of Engineering Change Objects and semi-structured interviews in a case company, where the number of ECRs has been increasing significantly. The goal of the research was to find out reasons for varying ECR processing times. However, analyzing the data afterwards is difficult because part of the modification history disappears during the process.

نتیجه گیری

5. Conclusion


The quality of an ECR is the end result of a process that covers several steps. The quality may be good from the very beginning or it may improve in the very last step. Exactly when the quality improves is difficult to know afterwards. If certain level of quality is never reached, the ECR will be rejected. Rejections, however, are relatively rare whereas spending large amounts of time to improve the quality is common. This indicates that the requests in the case company are usually relevant and get implemented.


Once the quality is good, the processing time of an ECR still depends on other factors, such as the criticality of the ECR, importance of the related product, engineering resources available. Nevertheless, it is clear that good quality requests enable fast changes while poor quality requests may cause more than a day of extra delay per request.


It is clear that the case company would benefit from better ECM training as the number of garbage in the system could be reduced significantly while the amount of hours spent on refining the ECRs could be reduced The number of rejections would also decrease slightly. However, the data used for this research do not clearly show how often and how much time is spent on improving the ECRs after the initial request phase.


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