Product Data Management Research Articles

A Storage Platform of Petroleum Production based on MongoDB

The storage method of production data is the important factor of the informatization oilfield. Many aspects are impact on efficiency, such as data query, large-scale data analysis, data mining, real-time data compute. The most smart oilfield constructions of the Huabei Oilfield are based on SCADA or DCS system in PetroChina. There are some problems on data storage and usage by this approach, such as inconsistent data format, lacks of storage flexibility and extensibility, low data security and using rate, etc. The traditional ways are not suitable for large-scale production data storage, application and big data analysis. In this paper, a petroleum production storage platform based on MongoDB and relational database is designed. The platform is built for convert, transmission, save uniform data from mostly SCADA or DCS system, and can provide unified restful API for third-party data access. The Production Command System (PCS) is developed, which can provide functions of real-time monitoring, auto-computing different kinds of report, production data management, production schedule management, etc.

Challenges and Enablers for Rapid Product Development

This article describes how new product development (NPD) is critical to maintaining a strong market position. However, full-scale NPD may consume too much time and resources when necessary to react quickly to customer needs or emerging business opportunities. Rapid development (RaDe) is a type of incremental product development complementing the organizations' existing NPD process. In RaDe, new sales items are created by redesigning or upgrading existing products inexpensively, and in a timely manner. This article aims at clarifying the challenges and enablers relating to RaDe implementation in four case companies and by the means of reviewing literature. The identified challenges include the difficulty of differentiating between product developments models, the lack of clear definition for RaDe and issues in product data management. The enablers include structuring and managing projects differently compared to NPD, the utilization of existing supply-chain capabilities and the designed products fitting the current business processes to enable rapid product ramp-ups.

Design and Development of Product Data Management (PDM) For Textile Company

Design and Development of Product Data Management (PDM) For Textile Company

A Meta-model based Approach for LCA-oriented Product Data Management

The collection of useful information from all stages of product lifecycle is on the premise to complete a life cycle assessment (LCA) study of the product. This naturally leads to the necessity to provide computerized tools to support a humanexpert. Unfortunately, most current employed information systems in the industry do not effectively support LCA-oriented data management. In this paper, a meta-model based approach for LCA oriented product life cycle related data retrieval and integration is proposed, which not only increases the efficiency but also ensure the consistency and traceability of data collection for LCA study.In this study, product life cycle is characterized from perspectives of product entity, operations upon the product entity and resulting process inventory. Then, a data meta model that defines the basic structure and contents of LCA-oriented dataset of the identified life cycle stage of identified product entity is proposed. Based on the proposed meta model, the multi-layer architecture of a LCA-oriented data service tool is then developed. It is consisted of the “Client” layer with interfaces for users to make life cycle data requests; the “Meta-model builder” layer to configure and parse the meta model for data source connection and data model instantiation; the “Data source access” layer which builds connections between data sources and the meta-model and realizes heterogeneous data retrieval and integration from different sources. The proposed approach is expected to ease the difficulties in performing LCA, especially in sorting, retrieval and integration of valuable data from exiting product and process models for life cycle modelling, and thus to better facilitate environment-friendly product design and manufacturing.

A case study for a unified designation of development information in a PDM System for Technical Inheritance

Industry 4.0 is the next step to autonomous products, productions and processes, which have the ability to collect information about themselves and their environment and to communicate with each other. The information about the products is analyzed and verified to develop a new product generation, what is called Technical Inheritance. The information about the product are saved in databases, which storage the information but do not structure them. For a unified designation and organization in the development phase Product Data Management (PDM) systems are used. The following paper presents a numbering system, which ensures a unified designation for the Technical Inheritance. Shown on a sorting system for object carriers in a medical environment the numbering system demonstrates, how the Technical Inheritance is implemented and traceable in a PDM system.

개인제조를 위한 통합 BOM 관리 시스템 개발

This paper proposes a bill of material (BOM) model for personal manufacturing. The personal manufacturing refers a commercial production system managed by a person or a small number of people who use social technologies, new personal fabrication machines and a set of software for design and manufacturing applications. The proposed BOM model consists of functional requirement for personal manufacturing and corresponding class schema and operations. The paper implemented the proposed model as a BOM management system based on a research and educational purpose product data management system. It also applied an industrial example data to the implemented BOM management system with a personal manufacturing scenario to illustrate feasibility of the proposed BOM model. This paper also included discussion of the result of the application and further research on BOM models for personal manufacturing.

Identifying experts for engineering changes using product data analytics

This paper aims to provide an expert identification procedure in an organization where design engineers share an integrated product data management (PDM) database for their product development and engineering changes (ECs). To identify experts for ECs, the procedure follows a product data analytics (PDA) approach that uses PDM databases as its operational data source to analyze different aspects of product development processes managed by PDM systems. It also employs a two-phase analysis procedure that considers the artefact and actor networks of the PDM system and participating engineers. The procedure also introduces EC history-centered multidimensional data analysis and social network analysis (SNA) for the two phases, respectively. To demonstrate the feasibility of the procedure, this study implemented it using a research-purpose PDM system, extract-transform-load (ETL) module, data cube with on-line analytical processing and SNA engines. It also provides a product design example with multiple engineering changes applied to the implemented prototype system as proof of the implementation and the procedure.

Modelling and implementation of product development strategy

The evolution of computer-aided systems and systems for the product data management towards the product development management systems, modules of application for the product life cycle management, necessitates the changes in the functioning of production enterprises. Due to the global competition, the enterprises not only re-organize their strategies but also look for the new system solutions based on the knowledge. Such actions are necessary for the enterprises to reach the success. The article presents the knowledge about the product development processes realized in the production system, presented in the form of hierarchical decision nets. Production system was considered as the set of elements interacting with the relationships occurring in the environment. The process is described as the set of logical events occurring in the system. The model of product development was developed using the business process modelling notation. The implementation of selected knowledge area in BizagiExpress system and testing in product lifecycle management environment were presented.

An Ontological Approach for Product Data Management through workflow A Case Study Approach

An Ontological Approach for Product Data Management through workflow A Case Study Approach

Applied Integrated Design in Composite UAV Development

This paper presents a modern approach to integrated development of Unmanned Aerial Vehicle made of laminated composite materials from conceptual design, through detail design, strength and stiffness analyses, definition and management of design and production data, detailed tests results and other activities related to development of laminated composite structures with main of its particularities in comparison to metal structures. Special attention in this work is focused to management processes of product data during life cycle of an UAV and experimental tests of its composite wing. Experience shows that the automation management processes of product data during life cycle, as well as processes of manufacturing, are inevitable if a company wants to get cheaper and quality composite aircraft structures. One of the most effective ways of successful management of product data today is Product Life cycle Management (PLM). In terms of the PLM, a spectrum of special measures and provisions has to be implemented when defining fiber-reinforced composite material structures in comparison to designing with metals which is elaborated in the paper.

Information exchange standards for design, tolerancing and Additive Manufacturing: a research review

Nowadays, the implementation of digital thread for Additive Manufacturing (AM) and product data management system strongly depends on specified file formats and used interoperability standards in order to integrate geometric dimensioning and tolerancing (GD&T) information directly in the 3D CAD model. The consideration of geometric deviations and variations is a key issue for design and tolerancing, inspection and management of manufacturing part information in AM through product and manufacturing information (PMI). PMI has been used to describe GD&T and non-geometric data, such as surface texture, surface finishing requirements, material specifications, process data, and other annotations, based on ISO standards. Standards play an important role in enabling the interoperability and efficiency of AM systems through the development of AM standard formats. This paper reviews current challenges of geometric and tolerancing model and formats for AM processes, which largely impede the advancement of AM technologies. Two criteria to enhance AM geometric and tolerancing model and standards are presented in this paper: GD&T management and compliance with PMI. STL, AMF and STEP formats are discussed on their characteristics of product definition and manufacturing specification for AM. The review presented here highlights that STEP standard can be a good basis for future research work to integrate and standardise material information, geometric and tolerancing model, and process planning for AM. Finally, new specifications of STEP-AM format are proposed in this work.

Software tool solutions for the design of W7-X

As an international research facility, the W7-X project hosts many types of components designed not only by the Max Planck Institute for Plasma Physics (IPP) teams, but also by external partners. At IPP the Design Engineering (DE) division is responsible for design and spatial integration of all the components within the Torus Hall. Two software tools, interfacing with Computer Aided Design (CAD) models, have been developed in-house to assist in the design and installation of components of W7-X. The first, the Digital MockUp (DMU) is a full scale 3D graphical representation of W7-X generated by a Python script using CATIA and information from the Product Data Management system (PDM), SmarTeam. The second, the Collision Analysis Report (CAR) is an Excel table listing the critical distances between a selection of components and their surroundings using the DMU and SmarTeam. SmarTeam along with the DMU and the CAR reduces the risk of design iteration, increases the efficiency of the designers and promotes the communication within the project teams.

Formation features of the complex electronic structure in instrument engineering

The paper deals with study of structure features of industrial products complex in instrument engineering and mechanical engineering as the most complicated type of products, characterized by highly branched and multi-level structure. We consider the product structure (assembly unit, kit, complex) in the form of a set of electronic design documents, containing its description. The increasing of products complexity leads to changes in interaction procedures between the developers at the stages of its life cycle, based on the use of data management systems (PDM – Product Data Management). We show that there are a variety of relationships (links) between the component parts of the product (including such complicated product as a complex), dependent on the availability of certain component parts (the structure of the complex). In this case the way of presenting information in the form of the product electronic structure is changed. Analysis of the relations between its structural composite parts based on research of the complex complexity is carried out; the features and ways of representing the electronic structure of the complex in a multi-level list and the graph are shown. We propose to distinguish the products included in the complex between complexing and auxiliary ones, characterized by the main, auxiliary, design or functional type of links. Implementation of the proposed approaches gives the possibility to solve problems of formation and submission of electronic design documentation by means of PDM-systems and to increase the level of interaction between contractors, subcontractors and customers when designing new products.

Electricity Production Data Processing and Management Based on Hadoop and Spark

The modern power system would continue rapidly create a huge quantity of complex user data. Relational database will not be able to cope with its future development. By combined Spark with Hadoop, proposal a new distributed data management and processing system. Design and optimize the model with power and load calculation, line loss calculation and other typical business based on Spark. Test results show that the system and model would maintain the reliability of the data storage, has higher efficiency than the traditional Hadoop model.

PDM 시스템을 활용한 Product Data Analytics 교육 훈련

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.

A process integrated engineering knowledge acquisition and management model for a project based manufacturing

This paper suggests a model for collecting, managing and utilizing engineering outputs integrated with product life-cycle process of project-based industry. Project output acquisition is designed to collect outputs without additional efforts at the time outputs are registered accordingly with the project schedule. Once revision is occurred in the project period, the revision is designed to be transferred to the corresponding process by using ECO (Engineering Change Order) process. To increase usability of the outputs as enterprise knowledge, accumulated outputs are managed and stored by applying multiple classifications from perspectives of process activity, contents, and enterprise knowledge management during accumulation process is carrying out. As a result of applying the suggest system in electric transformer EPC project performing concurrent-multiple project, usability and a degree of accumulating outputs that includes revision history and process accuracy are improved compared to previously used PDM (Product Data Management) system. Although this research is focused on collecting and acquiring project outputs, business process knowledge is supposed to be considered as a significant knowledge content of industries. There has been a research to attach procedure of collecting and acquiring process knowledge into a framework for future.

Spacecraft Assembly Process Bill of Material Construction Technology For Single-Piece Production

For the spacecraft assembly Process Bill of Material (PBOM) traditional construction technology, the product assembly relationship, product assembly information are not visual for spacecraft assembly and integration department, leading to the manual PBOM construction by using Product Data Management (PDM) system, which is inefficient and unreliable. This paper sorts all spacecraft products into seven Primary Product and others are Affiliated Product. Then this paper proposes the rules of PBOM automatic construction technology, which are Product Types mapping rule, assembly constraint rule and geometric rule, and introduces the PBOM automatic construction principle and workflow based on Pro/E. Finally, according to a real satellite manufacture, this paper describes the improved efficiency and reliability of the software developed with the technology, realizes the import into the PDM system, and analyzes the fault of the technology.

Development of Modular Integration Framework between PLM and ERP Systems

Enterprise Resource Planning (ERP) and Product Lifecycle Management (PLM) address different business needs for manufacturers. There are several factors to be considered when integrating PLM and ERP which cover many different areas such as organization and cultural, business practice and technology factors. There are various approaches that a company can take to accomplish integration between PLM and ERP. Each approach will provide differing levels and complexity of integration, functionality, scope, and cost of implementation and support. Companies need to assess the issues described previously and select the best approach based on their specific needs, future plans, current infrastructure, and estimated cost. In this context, the data to be exchanged between PLM and ERP is identified and these data have to be communicated to the ERP from PLM. Data related to the manufacturing system should be stored and managed into PLM system. Also, the interaction frequency among PLM and ERP varies depending on the degree of product customization and needs to be addressed for integration. The main objective of the present work is to develop a framework for PLM and ERP integration module, based on ontologies, which resolves syntactic and semantic data conflicts. The proposed model would help in the optimization of enterprise systems, business processes and product development systems by the integration of complimentary desktop productivity applications, heterogeneous Computer Aided Design (CAD) systems, enterprise systems and Product Data Management (PDM) databases.

Utilization of Product Lifecycle Data from PLM Systems in Platforms for Industrial Symbiosis

Industrial Symbiosis represents a promising approach to foster the transformation towards a circular economy. To involve businesses in Industrial Symbiosis, online platforms and input-output matching tools for facilitating the exchange of by-products have been provided by industry organizations and facilitators. Regarding the discrete parts and product manufacturing industry (DPPM), little success is being reported for such platforms and tools. Within the scope of this research, a list of Input-Output matching tools was analysed regarding data sources which are currently used for input-output Matching. Specifications of by-products in the DPPM industry were reviewed in order to identify a list of requirements for data sources. Shortcomings of the currently existing input-output matching tools were identified and suggestions for additional data sources used for input-output matching in IS in DPPM were given. Results show that datasets currently used do not include organisational data sources such as Product Data Management (PDM) systems, Enterprise Resource Planning (ERP) systems, Supply Chain Management (SCM) systems, and or Manufacturing Execution Systems (MES).

Distributed data management in product development using Git

Product development takes place in a multidisciplinary environment. Due to this, product data are very different in nature. Furthermore, the manner of how companies collaborate changes. The importance of development networks increases. The changing conditions also affect methods and tools that are used in product data management. In this paper, the relevance of distributed product data management is emphasised. Two existing approaches that introduce P2P technology for PDM systems are mentioned, and possible reasons why they are not used in productive PDM systems up ton now are named. Based on this, an alternative distributed PDM approach which focuses on file integration and which uses open source software is presented.