• Journal of Digital Contents Society
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• v.13 no.4
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• pp.609-616
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• 2012

Plumbing of the plant project is an important discipline. Now workers on the construction site, carry hundreds of piping spool drawings and documents, record the Spool Stage data. Then, The data is input into the system or has been documented in the field office. Because of the work-flow, duplication work occurs. As a result, it is reducing the effectiveness of the Plumbing and causes schedule delays. Also, To manage the integration process, there is a problem, it takes a lot of time. Therefore, The study is conducted to design and implementation of piping spool management Android Application using QR Code. The Application will contribute to the management to the integration of piping work process.

• Journal of the Society of Naval Architects of Korea
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• v.53 no.1
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• pp.29-36
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• 2016

In shipbuilding and offshore plant construction, pipe-stools of various types are installed. Moreover, these are many quantities but they must be installed in a successive manner. Due to these characteristics the pipe-stool installation processes easily tends to cause the schedule delays in the overall production processes. In order to reduce delay, the goal of this study is to predicts production’s lead time before manufacturing. Through this predictions it’s expected to reduce total production’s lead time by improving it's process. First of all, we made MLR(Multiple Linear Regression) and PLSR(Partial Least Square Regression) model to predict pipe-spool's lead time and then compared predictability of MLR and PLSR model. If a explanatory variable is added, it will be possible to predict results precisely.