8,966 research outputs found
Practitioner requirements for integrated Knowledge-Based Engineering in Product Lifecycle Management.
The effective management of knowledge as capital is considered essential to the
success of engineering product/service systems. As Knowledge Management (KM) and
Product Lifecycle Management (PLM) practice gain industrial adoption, the
question of functional overlaps between both the approaches becomes evident.
This article explores the interoperability between PLM and Knowledge-Based
Engineering (KBE) as a strategy for engineering KM. The opinion of key KBE/PLM
practitioners are systematically captured and analysed. A set of ranked business
functionalities to be fulfiled by the KBE/PLM systems integration is elicited.
The article provides insights for the researchers and the practitioners playing
both the user and development roles on the future needs for knowledge systems
based on PLM
Specifications and Development of Interoperability Solution dedicated to Multiple Expertise Collaboration in a Design Framework
This paper describes the specifications of an interoperability platform based on the PPO (Product Process Organization) model developed by the French community IPPOP in the context of collaborative and innovative design. By using PPO model as a reference, this work aims to connect together heterogonous tools used by experts easing data and information exchanges. After underlining the growing needs of collaborative design process, this paper focuses on interoperability concept by describing current solutions and their limits. Then a solution based on the flexibility of the PPO model adapted to the philosophy of interoperability is proposed. To illustrate these concepts, several examples are more particularly described (robustness analysis, CAD and Product Lifecycle Management systems connections)
A Product Oriented Modelling Concept: Holons for systems synchronisation and interoperability
Nowadays, enterprises are confronted to growing needs for traceability,
product genealogy and product life cycle management. To meet those needs, the
enterprise and applications in the enterprise environment have to manage flows
of information that relate to flows of material and that are managed in shop
floor level. Nevertheless, throughout product lifecycle coordination needs to
be established between reality in the physical world (physical view) and the
virtual world handled by manufacturing information systems (informational
view). This paper presents the "Holon" modelling concept as a means for the
synchronisation of both physical view and informational views. Afterwards, we
show how the concept of holon can play a major role in ensuring
interoperability in the enterprise context
Value Chain: From iDMU to Shopfloor Documentation of Aeronautical Assemblies
Competition in the aerospace manufacturing companies has led them
to continuously improve the efficiency of their processes from the conceptual
phase to the start of production and during operation phase, providing services to
clients. PLM (Product Lifecycle Management) is an end-to-end business solution
which aims to provide an environment of information about the product and
related processes available to the whole enterprise throughout the productâs lifecycle.
Airbus designs and industrializes aircrafts using Concurrent Engineering
methods since decades. The introduction of new PLM methods, procedures and
tools, and the need to improve processes efficiency and reduce time-to-market,
led Airbus to pursue the Collaborative Engineering method. Processes efficiency
is also impacted by the variety of systems existing within Airbus. Interoperability
rises as a solution to eliminate inefficiencies due to information exchange and
transformations and it also provides a way to discover and reuse existing information.
The ARIADNE project (Value chain: from iDMU to shopfloor documentation
of aeronautical assemblies) was launched to support the industrialization
process of an aerostructure by implementing the industrial Digital Mock-Up
(iDMU) concept in a Collaborative Engineering framework. Interoperability
becomes an important research workpackage in ARIADNE to exploit and reuse
the information contained in the iDMU and to create the shop floor documentation.
This paper presents the context, the conceptual approach, the methodology
adopted and preliminary results of the project
Panel on future challenges in modeling methodology
This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks; rapid model development and maintenance; legacy modeling approaches; markup languages; virtual interactive process design and simulation; standards; and Grid computing
Recommended from our members
A Web Services Component Discovery and Deployment Architecture for Simulation Model Reuse
CSPs are widely used in industry, although have yet to operate across organizational boundaries. Reuse across organizations is restricted by the same semantic issues that restrict the inter-organization use of web services. The current representations of web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging semantic web. Semantic models, in the form of ontology, utilized by web service discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved through the use of simulation component ontology to identify required components at varying levels of granularity (including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The paper presents the development carried out within CSPI-PDG and Fluidity Group at Brunel University, of an ontology, connector software and web service discovery architecture. The ontology is extracted from simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organization simulation, adopting a less intrusive interface between participants. Although specific to CSPs the work has wider implications for the simulation community
Semantic web service architecture for simulation model reuse
COTS simulation packages (CSPs) have proved popular in an industrial setting with a number of software vendors. In contrast, options for re-using existing models seem more limited. Re-use of simulation component models by collaborating organizations is restricted by the same semantic issues however that restrict the inter-organization use of web services. The current representations of web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging semantic web. Semantic models, in the form of ontology, utilized by web service discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved through the use of simulation component ontology to identify required components at varying levels of granularity (including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The paper presents the development of ontology, connector software and web service discovery architecture in order to understand how such ontology are created, maintained and subsequently used for simulation model reuse. The ontology is extracted from health service simulation - comprising hospitals and the National Blood Service. The ontology engineering framework and discovery architecture provide a novel approach to inter- organization simulation, uncovering domain semantics and adopting a less intrusive interface between participants. Although specific to CSPs the work has wider implications for the simulation community
Recommended from our members
Semantic web services for simulation component reuse and interoperability: An ontology approach
Commercial-off-the-shelf (COTS) Simulation Packages (CSPs) are widely used in industry primarily due to economic factors associated with developing proprietary software platforms. Regardless of their widespread use, CSPs have yet to operate across organizational boundaries. The limited reuse and interoperability of CSPs are affected by the same semantic issues that restrict the inter-organizational use of software components and web services. The current representations of Web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging Semantic Web. The authors present new research that partially alleviates the problem of limited semantic reuse and interoperability of simulation components in CSPs. Semantic models, in the form of ontologies, utilized by the authorsâ Web service discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved through a simulation component ontology that is used to identify required components at varying levels of granularity (i.e. including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The research presented here is based on the development of an ontology, connector software, and a Web service discovery architecture. The ontology is extracted from simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organizational simulation, by adopting a less intrusive interface between participants Although specific to CSPs this work has wider implications for the simulation community. The reason being that the community as a whole stands to benefit through from an increased awareness of the state-of-the-art in Software Engineering (for example, ontology-supported component discovery and reuse, and service-oriented computing), and it is expected that this will eventually lead to the development of a unique Software Engineering-inspired methodology to build simulations in future
Ontology engineering for simulation component reuse
Commercial-off-the-shelf (COTS) simulation packages (CSPs) are widely used in industry, although they have yet to operate across organizational boundaries. Reuse across organizations is restricted by the same semantic issues that restrict the inter-organizational use of web services. The current representations of web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging semantic web. Semantic models, in the form of ontology, utilized by web service discovery and deployment architectures provide one approach to support simulation model reuse. Semantic interoperation is achieved through the use of simulation component ontologies to identify required components at varying levels of granularity (including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The paper presents the development of an ontology, connector software and web service discovery architecture. The ontology is extracted from simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organizational simulation, adopting a less intrusive interface between participants. Although specific to CSPs the work has wider implications for the simulation community
- âŠ