Product Lifecycle Management Enhancement With an Ontological Approach

Author(s):  
Joa˜o P. M. A. Silva ◽  
Ricardo Jardim-Goncalves ◽  
Adolfo Steiger-Garc¸a˜o ◽  
Anto´nio A. C. Monteiro

Recently, computational design aiding tools resources are undertaken in modern companies, enhancing high quality product definition development. However, accurate digital product descriptions are attained through multiple software applications, each one seeking to solve focused needs. Regardless significant advances, there still remains a substantial computational deficiency in how these systems interact with each other between the several PLC stages. Plural issues with different origin and nature contribute to such state, increasing the research community interest to contribute with solution that minimizes the problem. In particular, one main issue refers to product and process knowledge exchange along PLC stages. According to this scenario, and with market pressure to increase profits and reduce redundancies, an efficient coordination and management of all the activities taking place along the Production Process must be performed. Hence, promising technologies of Product Lifecycle Management are considered strategic to manage capture of product knowledge along its life, from initial conception to retirement. This paper proposes the use of an ontology to be used in a knowledge-based system, giving support to a comprehensive product model to improve integration and data exchange capabilities trough entire PLC. The capture, handle and re-use of knowledge from multiple disciplines during PLC (e.g. design, manufacture or maintenance), extending capabilities of existent product and process models is the promising main benefit of ontologies development.

2005 ◽  
Vol 5 (3) ◽  
pp. 227-237 ◽  
Author(s):  
Ravi M. Rangan ◽  
Steve M. Rohde ◽  
Russell Peak ◽  
Bipin Chadha ◽  
Plamen Bliznakov

The past three decades have seen phenomenal growth in investments in the area of product lifecycle management (PLM) as companies exploit opportunities in streamlining product lifecycle processes, and fully harnessing their data assets. These processes span all product lifecycle phases from requirements definition, systems design/ analysis, and simulation, detailed design, manufacturing planning, production planning, quality management, customer support, in-service management, and end-of-life recycling. Initiatives ranging from process re-engineering, enterprise-level change management, standardization, globalization and the like have moved PLM processes to mission-critical enterprise systems. Product data representations that encapsulate semantics to support product data exchange and PLM collaboration processes have driven several standards organizations, vendor product development efforts, real-world PLM implementations, and research initiatives. However, the process and deployment dimensions have attracted little attention: The need to optimize organization processes rather than individual benefits poses challenging “culture change management” issues and have derailed many enterprise-scale PLM efforts. Drawn from the authors’ field experiences as PLM system integrators, business process consultants, corporate executives, vendors, and academicians, this paper explores the broad scope of PLM, with an added focus on the implementation and deployment of PLM beyond the development of technology. We review the historical evolution of engineering information management/PLM systems and processes, characterize PLM implementations and solution contexts, and discuss case studies from multiple industries. We conclude with a discussion of research issues motivated by improving PLM adoption in industry.


2015 ◽  
Vol 752-753 ◽  
pp. 1283-1287
Author(s):  
Sari Laitinen ◽  
Merja Huhtala ◽  
Mika Lohtander ◽  
Tuomo Kässi ◽  
Juha Varis

Changes taking place in project-based manufacturing emphasize the importance of agile manufacturing, product knowledge management and product lifecycle information. The paper describes dependencies between product definition and production strategy covering also other potential areas of research i.e. growth of industrial service business and development of manufacturing and supply networks. As an outcome it can be argued that more research is needed to align product lifecycle management in project-based manufacturing, as well as to cover the evolving information needs of internal and external stakeholders. Due to the increase of industrial services, also services should be included as a part of product definition; the extended product description introduces a new set of requirements that need to be taken into account as a part of product and production strategy definition.


Author(s):  
Paul Witherell ◽  
Boonserm Kulvatunyou ◽  
Sudarsan Rachuri

Product lifecycle management is an important aspect of today’s industry, as it serves to facilitate information exchange and management between most, if not all, stages of a product’s existence. As exchanged product information is inevitably subjected to multiple transformations and derivations, information transparency between lifecycle stages can be difficult to achieve. Synthesizing representations of product information across the lifecycle, by creating a lifecycle-stage-independent platform, can provide transparent access to information for both upstream and downstream applications. In this paper, we review previous and ongoing efforts using ontologies as a means to support information integration and interoperability throughout the lifecycle of a product. We propose that existing efforts can be leveraged to create an upper-tiered ontology for product information. The resulting ontology, a core model for product lifecycle information, would support the synthesis and exchange of product information across lifecycle stages, improving access to this information and facilitating lifecycle thinking. We discuss the use of ontologies as a means to create and link paradigm-independent representations. We discuss the translations that product information may face when integrated through ontologies, and the extent to which the integrity of the information can be preserved across the lifecycle. We investigate the role of information quality in the exchange and evolution of product information across the lifecycle. Finally, we discuss the application of an upper-tiered ontology, particularly the advantages offered by increased transparency and interoperability, as a means to support lifecycle thinking for mitigating a product’s sustainability impact.


Author(s):  
Lalit Patil ◽  
Debasish Dutta ◽  
Ram Sriram

Product Lifecycle Management (PLM) is a concept that takes into account that the development of a product is influenced by knowledge from various stakeholders throughout its lifecycle. Computing environments in the PLM framework are expected to have several independent information resources. This requires a meaningful formal representation of product data semantics throughout the product’s lifecycle. This paper presents an ontological approach to formalize product semantics into a Product Semantic Representation Language (PSRL). Building blocks to develop the explicit, extensible and comprehensive PSRL are described. The PSRL is open and based on standard W3L OWL constructs. The extensibility is demonstrated by considering an example product. The representation and the method of its development is expected to support several applications in the context of PLM. The use of OWL will enable the provision of the application software and information resources as Web services in the context of the Semantic Web.


Sign in / Sign up

Export Citation Format

Share Document