An Integrated Product and Process Data Model Using Step

1996 ◽  
Author(s):  
Parisa Ghodous ◽  
Denis Vandorpe
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Manufacturing Systems ◽  
Data Models ◽  
Computer Integrated Manufacturing ◽  
Process Data ◽  
Product Data ◽  
Process Representation ◽  
Product And Process

Abstract The integration in computer integrated manufacturing systems (CIMs) plays a significant role in improving the quality and productivity. To achieve this objective, a uniform product and process representation and an effective, comprehensive and reliable data exchange mechanism are required. Recent works on product data integration have led to STEP (international Standard for Exchange of Product data models). In this paper, we define a model which integrates the STEP product data models with process data models. The idea of classification of STEP product data models is used to classify the process data models. Examples from mechanical industries are included to demonstrate the features of this model.

Normalization of Different Viewpoints on Product Development

1997 ◽  
Author(s):  
Parisa Ghodous ◽  
Denis Vandorpe
Keyword(s):  
Product Development ◽  
Data Models ◽  
View Point ◽  
Process Data ◽  
Product Data ◽  
Collaborative Environment ◽  
Product And Process

Abstract One of the major problems for communication of information in a collaborative environment is how to transform the different experts’ viewpoints on the same application to a normalized view point. This paper presents our approach for transformation and unification of different experts’ viewpoints on product and process data models. Until now, the research works in this domain have considered only the mapping between the different product data models. In this paper, firstly we analyze the problems related to these works and then we present our approach which considers not only the unification between the product data models but also the unification between different process data models.

Flexible Classification Standards for Product Data Exchange

2012 ◽  
pp. 448-466 ◽  
Author(s):  
Wolfgang Wilkes ◽  
Peter J. A. Reusch ◽  
Laura Esmeralda Garcia Moreno
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Data Models ◽  
Important Data ◽  
Product Data ◽  
Business Partners ◽  
Exchange Processes ◽  
Class Hierarchies

One essential part of e-business is the exchange of product data between business partners. Classifications have been developed as a means to clearly describe the semantics of product descriptions. They provide schema elements like properties and classes and define their semantics by some formal relationships and some textual (informal) definitions. This chapter gives an overview about the modelling levels that have to be considered for the development and use of classifications. In addition, it introduces briefly ISO 13584 (PLIB) as one important data model for classifications and it characterizes a number of classifications which are used in today’s product exchange processes. Many of the classification standards use a quite primitive data model which leads to problems in their use and maintenance. By exploiting some features of more advanced data models, many of these problems can be overcome. The authors propose the introduction of additional class hierarchies as an example for adding more flexibility to a classification and discuss this proposal in the context of eCl@ss, an important European classification.

Intelligent Product Data Exchange

1999 ◽  
Author(s):  
Karl-H. Grote ◽  
Soeren Schumann
Keyword(s):  
Engineering Design ◽  
Data Model ◽  
Data Exchange ◽  
Product Data ◽  
Engineering Design Process ◽  
Problems And Solutions ◽  
Computer Based ◽  
Software Platforms ◽  
Product Data Model ◽  
Intelligent Product

Abstract The computer based engineering design process today is characterized by a large variety of (specialized) systems. This and the ongoing globalization and outsourcing of engineering services and competencies causes an increased need for data exchange over the borders of the numerous CAx-systems. Under these circumstances, data exchange has been playing an important role for time and cost sensitive development and manufacturing in every field of industry. This paper presents actual problems and solutions of data exchange over the borders of modern software platforms. It includes the description of possible influences on a product data model and introduces the latest data exchange concepts.

scholarly journals Data model development and validation for product data exchange

1990 ◽  
Author(s):  
Mary Mitchell ◽  
Yuhwei Yang ◽  
Steve Ryan ◽  
Bryan Martin
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Model Development ◽  
Product Data ◽  
Development And Validation

scholarly journals Digital Archiving and Process Management in the Bavarian State Department of Monuments and Sites

2021 ◽  
Author(s):  
Silke Jantos ◽  
C. Sebastian Sommer
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Process Management ◽  
Rapid Development ◽  
State Department ◽  
Process Data ◽  
Archaeological Heritage ◽  
Conservation Projects ◽  
Homogeneous Data ◽  
Or Applications

Over the last two decades, technical progress for archaeology within the Bavarian State Department of Monuments and Sites (BLfD) underwent rapid development. It began with the establishment of an information system (FIS) where the workflow of the Department of Archaeological Heritage is mapped. The next step consisted of standardisation of data capture for all institutions and companies undertaking excavation. In response, a homogeneous data model was developed and established through the application ExcaBook. In order to guarantee this solution would be used widely, an Importer was created to import data from other databases or applications. Hereafter it is also planned to process data from restoration and conservation projects, using a similar approach in order to work towards improving data exchange between all related sciences.

A Product Data Model for Design Support Using Functional Skeletons

1992 ◽  
Author(s):  
Harald Stadlbauer
Keyword(s):  
Design Process ◽  
Data Model ◽  
Data Models ◽  
New Method ◽  
Design Support ◽  
Product Data ◽  
Efficient Storage ◽  
New Type ◽  
Product Data Model

Abstract This paper presents a new method called Functional Skeletons and its usage for a product data model for the design process. The Functional Skeletons represent the main functional flows in a product and allow the efficient storage of designs as well as the generation of verified (in respect to their specification) products. The Functional Skeletons can be used as the basis of a new type of product data models.

scholarly journals Development of Product Data Model for Maintenance in Concrete Highway Bridges

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Satoshi Kubota ◽  
Ichizou Mikami
Keyword(s):  
Life Cycle ◽  
Information Flow ◽  
Business Process ◽  
Data Model ◽  
Highway Bridges ◽  
Primary Objective ◽  
Data Models ◽  
Product Data ◽  
Product Data Model ◽  
Project Participants

The primary objective of this paper is to develop the product data models, in which systematic information is defined for accumulating, exchanging, and sharing in the maintenance of concrete highway bridges. The information requirement and existing issues and solutions were analyzed based on the life cycle and the standardization for sharing. The member data models and business data models that defined design and construction information and accumulated results information were developed. The maintenance business process in which project participants utilize the product data model was described as utilization scenario. The utilization frameworks which define information flow were developed.

Integrated product and process data for business to business collaboration

2003 ◽  
Vol 17 (3) ◽  
pp. 253-270 ◽  
Author(s):  
BOONSERM KULVATUNYOU ◽  
NENAD IVEZIC ◽  
RICHARD A. WYSK ◽  
ALBERT JONES
Keyword(s):  
Product Development ◽  
Manufacturing Process ◽  
Process Data ◽  
Business Partners ◽  
Process Representation ◽  
Exchange Product ◽  
Engineering Information ◽  
On Line ◽  
Product And Process ◽  
Business To Business

Collaborative development of engineered products in a business to business (B2B) environment requires more than the selection of components from an on-line catalogue. It involves the electronic exchange of product, process, and production engineering information during both design and manufacturing. Although the state of the practice does include a variety of ways to exchange product data electronically, it does not extend to the exchange of manufacturing process data. The reason is simple: process data are usually tied to specific manufacturing resources. These resources are not known typically at product development time. This paper proposes an approach called integrated product and process data, in which manufacturing process data are considered during product development. This approach replaces traditional process plans, which are resource specific, with a resource-independent process representation. Such a representation will allow a much wider collaboration among business partners and provide the necessary base for collaborative product development.

scholarly journals The IeDEA Data Exchange Standard: a common data model for global HIV cohort collaboration

2020 ◽  
Author(s):  
Stephany N Duda ◽  
Beverly S Musick ◽  
Mary-Ann Davies ◽  
Annette H Sohn ◽  
Bruno Ledergerber ◽  
...  
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Governance Structure ◽  
Data Models ◽  
Hiv Care ◽  
Common Data Model ◽  
Resource Limited Settings ◽  
Resource Limited ◽  
Hiv Research ◽  
Data Exchange Standard

Objective To describe content domains and applications of the IeDEA Data Exchange Standard, its development history, governance structure, and relationships to other established data models, as well as to share open source, reusable, scalable, and adaptable implementation tools with the informatics community. Methods In 2012, the International Epidemiology Databases to Evaluate AIDS (IeDEA) collaboration began development of a data exchange standard, the IeDEA DES, to support collaborative global HIV epidemiology research. With the HIV Cohorts Data Exchange Protocol as a template, a global group of data managers, statisticians, clinicians, informaticians, and epidemiologists reviewed existing data schemas and clinic data procedures to develop the HIV data exchange model. The model received a substantial update in 2017, with annual updates thereafter. Findings The resulting IeDEA DES is a patient-centric common data model designed for HIV research that has been informed by established data models from US-based electronic health records, broad experience in data collection in resource-limited settings, and informatics best practices. The IeDEA DES is inherently flexible and continues to grow based on the ongoing stewardship of the IeDEA Data Harmonization Working Group with input from external collaborators. Use of the IeDEA DES has improved multiregional collaboration within and beyond IeDEA, expediting over 95 multiregional research projects using data from more than 400 HIV care and treatment sites across seven global regions. A detailed data model specification and REDCap data entry templates that implement the IeDEA DES are publicly available on GitHub. Conclusions The IeDEA common data model and related resources are powerful tools to foster collaboration and accelerate science across research networks. While currently directed towards observational HIV research and data from resource-limited settings, this model is flexible and extendable to other areas of health research.

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