PDQ (Product Data Quality): Quality Guaranteed Product Data Representation and Application to Shape Model

2007 ◽  
Author(s):  
Yoshihito Kikuchi ◽  
Hiroyuki Hiraoka ◽  
Akihiko Ohtaka ◽  
Fumiki Tanaka ◽  
Kazuya G. Kobayashi ◽  
...  
Keyword(s):  
Data Quality ◽  
Data Communication ◽  
Original System ◽  
Economic Loss ◽  
Data Representation ◽  
Calculation Algorithm ◽  
Product Model ◽  
Product Data ◽  
Receiver System ◽  
Shape Data

Inappropriate data problems due to mismatching of product data quality are always possible in data communication and sharing. In this problem, the data is evaluated as valid within the original system and its initial usage, but problem brake out during the reuse phase of the same data. This delayed problem requires data repair or rework operation in the subsequent manufacturing process and results in significant economic loss. As cause, current product data is a dumb model and its quality is not guaranteed. The receiver system cannot identify whether the data has sufficient quality for reuse or not. Furthermore, manufacture’s advance notice of their request for data quality is impossible. This paper proposes an establishment of PDQ (product data quality) information for communication of data quality that can be used independently or in combination with product data. The PDQ information model presents qualitative measurements according to given criteria, and the measured portion of product data. Based on PDQ model, a PDQ-S (PDQ for shape data) model has been developed. For PDQ-S, industrial guidelines about shape data communication are systematically categorized as the baseline of guarantee. The PDQ model is intended to be independent and neutral from calculation algorithm of measurement. As the method of development, STEP (ISO 10303: Standard for the exchange of product model data) architecture was adopted and the PDQ model was developed as a resource of STEP standards. We show an example about combination of shape data and concerned quality guarantying data.

PDQ (Product Data Quality): Representation of Data Quality for Product Data and Specifically for Shape Data

2010 ◽  
Vol 10 (2) ◽  
Author(s):  
Yoshihito Kikuchi ◽  
Hiroyuki Hiraoka ◽  
Akihiko Otaka ◽  
Fumiki Tanaka ◽  
Kazuya G. Kobayashi ◽  
...  
Keyword(s):  
Data Quality ◽  
Manufacturing Process ◽  
Point Of View ◽  
International Standard Organization ◽  
Quality Data ◽  
Model Data ◽  
Product Model ◽  
Product Data ◽  
Iso 10303 ◽  
Shape Data

In the communication and sharing of product data, if the difference of the required data quality and the data quality actually incorporated into data is significant, it causes various problems. It is often the case that a creator of low quality data does not realize it unless it is harmful for his job. In most cases, low quality data passed to subsequent processes, such as manufacturing process, cause problems since these are not appropriate from the machining precision point of view or the detailed shape modeling point of view. In these cases, rework or repair of data is necessitated before commencing the target process, which results in significant economy loss and delay of product development. Today’s product model data are dumb data because design intents and data quality incorporated are not explicitly represented. Receiving systems cannot know whether the data passed possess sufficient quality for the target job or not. Another problem is that engineers in later processes, such as the manufacturing process, cannot issue data quality related request beforehand in a commonly agreed manner. The problems mentioned above are caused by the lack of a commonly agreed representation of product data quality (PDQ) information. Our proposed solution is designed to enable the communication and sharing of data quality information. This paper reports the development of a PDQ standard (ISO 10303-59), which is a resource part of ISO 10303 Standard for the Exchange of Product Model Data (STEP) (2008, “ISO 10303-59, Industrial Automation Systems and Integration. Product Data Representation and Exchange. Part 59 Integrated Generic Resource: Quality of Product Shape Data,” International Standard Organization, Geneva). The objective of ISO 10303-59 is to establish a PDQ model and to enable the use of PDQ data independently or in combination with product data. The developed PDQ information model represents concepts such as data quality criteria, measurement requirements, and measured results. Based on the PDQ model, the PDQ for shape data model, which is a specialization of the PDQ model to 3D shape data quality, is also developed.

Three-Schema Implementation in STEP: Standard for the Exchange of Product Model Data

1991 ◽  
Author(s):  
Yuhwei Yang
Keyword(s):  
Data Communication ◽  
Product Model ◽  
Product Data ◽  
Industry Standard ◽  
Sequential File ◽  
Integration Architecture ◽  
Integrated Architecture ◽  
Schema Model ◽  
Application Protocols ◽  
Fundamental Requirement

Abstract This paper describes the development architecture of the evolving international product data standard, PDES/STEP. The focus of the paper is to present the influence of the three-schema concept and its implementation in STEP. The fundamental requirement for any specification to be useful is that it must support its intended applications. PDES/STEP, as the future industry standard for product data communication, must be structured to provide flexibility to allow different implementation scenarios, e.g., sequential file exchange or controlled access of shared database implementations. In order to provide this required implementation flexibility, STEP is currently developed with an architecture that facilitates multiple specifications. The STEP Integrated Architecture organizes both the resource models and models of the STEP Application Protocols. The STEP Integration Architecture presents an implementation that resembles elements of the ANSI/SPARC recommended three-schema model.

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