• Korean Journal of Computational Design and Engineering
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• v.13 no.4
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• pp.314-322
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• 2008

This paper introduces an integration of Product Data Management (PDM) and Software Configuration Management (SCM). PDM and SCM have supported development of mechanical products and software products respectively. The importance of software components in the current products increases rapidly since the software enables the products to satisfy various customer requirements efficiently. Therefore the current product development needs enhanced product data management that can control both the hardware and software data seamlessly. This paper proposes an extended product data model for integrating SCM into PDM. The extension enables PDM document management to support the version control for software development. It also enables engineers to control both the software and hardware parts as integrated data objects during product configuration and engineering change management. The proposed model is implemented by using a commercial Product Lifecycle Management (PLM) system and a development of a network based robot system is tested by the implemented product development environment.

• Korean Journal of Computational Design and Engineering
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• v.20 no.3
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• pp.254-262
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• 2015

This study proposes an approach to Product Data Management (PDM) education for collaborative product data management, which can support collaborative product development process. This approach introduces social media and a PDM system into a framework for PDM education supported by consistent product development process and product data model. It has been applied to two PDM classes and the result shows that the social media in PDM education can support not only experiences of the collaborative product data management but also interactive and informal communications among instructors and participants using integrated social media with product data during courses.

• Korean Journal of Computational Design and Engineering
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• v.22 no.1
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• pp.80-88
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• 2017

Product data analytics (PDA) is a data-driven analysis method that uses product data management (PDM) databases as its operational data. It aims to understand and evaluate product development processes indirectly through the analysis of product data from the PDM databases. To educate and train PDA efficiently, this study proposed an approach that employs courses for both product development and PDA in a class. The participant group for product development provides a PDM database as a result of their product development activities, and the other group for PDA analyses the PDM database and provides analysis result to the product development group who can explain causes of the result. The collaboration between the two groups can enhance the efficiency of the education and training course on PDA. This study also includes an application example of the approach to a graduate class on PDA and discussion of its result.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.2
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• pp.162-172
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• 2015

This paper proposes a Product Data Management (PDM) system architecture that supports end-user computing for small and medium businesses (SMBs) in Korea to build and maintain efficient and sustainable information systems for their product development. Its open database with relational tables enables existing common application programs such as Microsoft office suites to access product data in PDM systems. In addition, the interactive query processor provided by database management systems helps design engineers to build ad hoc queries in standard SQL database language to response different data requirements during their product development. The PDM architecture with the open database allows design engineers or technical staffs in SMBs to build and maintain their application programs for product development by themselves. To show the feasibility of the proposed architecture, this study implemented a prototype PDM system based on the architecture and database, and represents real-world product data with the implemented PDM system.

• CDE review
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• v.9 no.3
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• pp.31-35
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• 2003

Product Data Management(PDM) is a tool that helps engineers and others manage both data and the product development process. Now a day, automotive industry is interested in PDM for their product's quality and cost. In this study, we introduce about samlip PDM construction instance. This case explains the demanded function of PDM and the detail implementation methodology for automotive company.

• Korean Journal of Computational Design and Engineering
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• v.13 no.2
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• pp.89-97
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• 2008

Today's manufacturing environment is becoming a distributed manufacturing process in which a unique and specialized technological background is required in specific domains rather than having a single company execute all the manufacturing processes. This phenomenon is especially true in the automotive industry, where the sharing of product data between companies is rampant; however, this kind of interoperability causes many problems. When each company has its own method of managing product data, the sharing of product data in a distributed environment is a major problem. A data translator module or a data mapping module had to be developed for the exchange of data in heterogeneous systems of product data management (PDM); moreover, this type of module must be continually changed and improved due to the fact that PDM systems change for many reasons. In addition, the growth in corporate partnerships deepens the burden of developing and maintaining this module and creates further data exchange problems due to the increasing complexity of the system. This paper introduces a way of exchanging product data among heterogeneous PDM systems through the use of OpenPDM, which is a kind of virtual data warehouse. The implementation of a PDM integrating system is also discussed with respect to the requirement for a logical integration of product data which are physically distributed.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1318-1323
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• 2009

In recent years, dramatic advances in information technology have motivated the construction industry to improve its productivity. Computer-based information technology includes Computer-Aided Design (CAD), Computer-Aided Engineering (CAE), Computer-Aided Manufacturing (CAM), Enterprise Resource Planning (ERP), Digital Mock-Up (DMU) and Product Data Management (PDM). Most construction industries are trying to apply these technologies for quality improvement, reduction of construction time and cost. PDM is very useful for managing data and process related to product design and manufacturing. PDM system has various functions such as drawing and engineering document management, product structure and structure modification management, part classification management, workflow management, and project management. In this paper, PDM system was applied to the design of steel-concrete composite girder bridge. To make a practical guidance for PDM implementation to bridge design, the procedure for its implementation was presented. Consequently, this paper could be useful to enhance the efficiency of bridge design.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.1
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• pp.50-56
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• 2016

Social media (SM) for expressing thoughts and opinions of people in network communities can support collaboration among stakeholders in business activities. To enhance collaboration for product design, this study integrates SM with a product data management (PDM) system that manages main product development processes and data in manufacturing companies. This study proposes a text messaging SM model that shares core components of PDM systems and uses product structures in PDM systems as networks for SM broadcasting. The SM model is implemented with a research purpose PDM system and applied to product design experiments to show feasibility of the proposed SM model in PDM systems.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.1-9
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• 2013

The current manufacturers have generated tremendous amount of digitized product data to efficiently share and exchange it with other stakeholders or various software systems for product development. The digitized product data is a valuable asset for manufacturers, and has a potential to support high level strategic decision makings needed at many stages in product development. However, the lack of studies on extraction of key performance indicators(KPIs) from product data management(PDM) databases has prohibited manufacturers to use the product data to support the decision makings. Therefore this paper examines a possibility of an architecture that supports KPIs for evaluation of product development performances, by applying multidimensional product data model and on-line analytic processing(OLAP) to operational databases of product data management. To validate the architecture, the paper provides a prototype product data management system and OLAP applications that implement the multidimensional product data model and analytic processing.

• Korean Journal of Computational Design and Engineering
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• v.13 no.2
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• pp.121-130
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• 2008

The concept of integrated product information has been universalized so that many manufacturing industries have applied the concept to their production system. The field of PDM (Product Data Management), which is one of the core components of the integrated product information, is not an exception. Therefore, various PLM (Product Lifecycle Management) software providers are in process of suggesting the PDM solutions. As the PDM solution is widely adopted in the manufacturing industries, the successful application of the solution has been gathering more strength in manipulation of the product information. However, the standardized implementation methodology is stuck in the basic level contrast with the enhanced PDM's functionality and capability. Present study refers to the application of UML (Unified Modeling Language), which is an object oriented modeling description, to PDM system development procedure. The advantage of UML is its efficiency and effectiveness in handling complex requirement often found in PDM implementation works. This paper shows the integration of PDM and UML proposes a philosophy for the support of requirement analysis throughout the full implementation of PDM system.