Technical paperA system for distributed sharing and reuse of design and manufacturing knowledge in the PFMEA domain using a description logics-based ontology
Highlights
► Process knowledge is fragmented along the production chain. ► We developed a prototype system for distributed sharing and reuse of this knowledge. ► We used PFMEA knowledge about a component that sustains the rollers in bearings. ► We applied ontology for knowledge representation, inference and retrieval. ► System performs detailed knowledge retrieval for establishing adequate actions.
Introduction
Nowadays, the social and economical environment is characterized by the appearance of new forms of industrial organizations, caused by complex factors such as market globalization, product life cycle reduction, high demand variability, need of high flexibility and responsiveness, and fast development of the technologies of information and communication [1]. In this perspective, new forms of organizational structures have been recognized by the scientific community and other professionals of this area, which include: extended enterprise, virtual enterprise, virtual organization, supply chain management and enterprise clusters [1], [2].
The key problem in these environments consists of integrating the distributed resources that contribute to production, since these new organizational structures are geographically distributed, composed by different commercial partners, each of them with its own specialization and resources directed to specific functions in the product life cycle [2], [3].
In this context, new challenges are also imposed on traditional models of management and quality improvement, which should be able to encompass not only internal processes of a single company [4], but also extend to cases involving external interconnected companies [3], [5], [6]. In these new environments, in particular, the solution of nonconformance problems is characterized by knowledge intensive activities heavily based on experience, which in complex cases can go beyond the knowledge and experience of members of a single company. Given this scenario, this paper proposes an architecture in which agents are used to share and retrieve knowledge resulting from the solution of previous nonconformance problems, together with the Potential Failure Mode and Effects Analysis in Manufacturing and Assembly Processes (PFMEA) method. PFMEA is a quality engineering method that is thoroughly used in improvement processes, which contributes to gathering information on manufacturing. Thus, PFMEA could be used to provide valuable knowledge that could be shared among the different links that compose the manufacturing chain.
The developed distributed system uses an ontology based on description logics (DL) for the knowledge representation in the PFMEA domain. This system seeks to provide means to share and reuse current knowledge in PFMEA tables in support to the management of the organizational knowledge regarding processes in manufacturing environments with distributed resources.
Section snippets
Some related work on knowledge representation and the PFMEA method
Potential Failure Mode and Effects Analysis in Manufacturing and Assembly Processes (PFMEA) is an important analytical method of quality engineering, whose purpose is, still in the initial design phases, to analyze all of the potential failure modes of a system, product or process, the potential cause of the failure associated with each one of those failure modes, as well as their effects. Consequently, with the results of this systematic analysis, the designers can review their designs in
Development of the PFMEA-DL ontology
Corcho et al. [20] present an extensive review on the main methodologies found in the literature about the construction of ontologies. In this work, the so-called methontology methodology proposed by López et al. [29] was adopted. In this methodology, the conceptualization activity organizes and converts a vision noticed informally from a domain in a semi-formal specification through a set of representations based on graphic or tabular notations that can be understood by the domain specialists.
Distributed approach and system organization
The proposed architecture, shown in Fig. 7, uses agents to perform distributed sharing and reuse of knowledge. It seeks to be compatible with the FIPA—Foundation for Intelligent Physical Agents specifications [36], which is currently responsible for disseminating the agent technology and the interoperability of its standards with other technologies. It comprises the following agent classes and their respective roles:
- (1)
Failure Mode Analysis Finder Agent (or Analysis Requester Agent): it is the
Conclusion
This paper described the development of a system for distributed knowledge sharing and reuse in the PFMEA domain using ontology-based knowledge retrieval approach. A prototype was implemented based on the Java Agent DEvelopment Framework (JADE). In the proposed architecture, the different knowledge bases can be distributed over the Intranet/Internet.
The proposed retrieval strategy allows the construction of a complex search pattern, enabling the combination of many concepts and roles of the
Acknowledgements
The second author would like to thank the National Council for Scientific and Technological Development (CNPq) of Brazil for the financial support to this project.
References (39)
- et al.
A framework for organization network engineering and integration
Robotics and Computer-Integrated Manufacturing
(2005) - et al.
A functional approach to enterprise-based engineering integration
Journal of Manufacturing Systems
(2000) - et al.
A manufacturing model to enable knowledge maintenance in decision support systems
Journal of Manufacturing Systems
(2006) - et al.
Automated generation of robust error recovery logic in assembly systems using genetic programming
Journal of Manufacturing Systems
(2001) - et al.
Risk evaluation of green components to hazardous substance using FMEA and FAHP
Expert Systems with Applications
(2009) - et al.
The EU RoHS directive and its implications for the plastics industry
Plastics, Additives and Compounding
(2006) - et al.
Conceptual process planning—an improvement approach using QFD, FMEA, and ABC methods
Robotics and Computer-Integrated Manufacturing
(2010) - et al.
Fuzzy linear programming models for new product design using QFD with FMEA
Applied Mathematical Modelling
(2009) - et al.
An ontology approach to support FMEA studies
Expert Systems with Applications
(2010) - et al.
Failure modes and effects analysis through knowledge modeling
Journal of Materials Processing Technology
(2004)
Methodologies, tools and languages for building ontologies
Data and Knowledge Engineering
A distributed internet-based framework for manufacturing planning
International Journal Advanced Manufacturing Technology
A computer-integrated framework for quality chain management
International Journal of Advanced Manufacturing Technology
Failure mode and effect analysis: FMEA from theory to execution
Performing FMEA using ontologies
A risk assessment methodology using intuitionistic fuzzy set in FMEA
International Journal of Systems Science
System failure behavior and maintenance decision making using RCA, FMEA and FM
Journal of Quality in Maintenance Engineering
Software system reliability and safety assessment: an extended FMEA approach
International Journal of Reliability and Safety
A diagnostic service tool using FMEA
International Journal of Computer Integrated Manufacturing
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