Streamlining Product Lifecycle Processes: A Survey of Product Lifecycle Management Implementations, Directions, and Challenges

[+] Author and Article Information
Ravi M. Rangan

 Product Sight Corporation, Bellevue, WA 98029ravi.rangan@productsight.com

Steve M. Rohde

 Quantum Signal, LLC, Ann Arbor, MI 48108steve@quantumsignal.com

Russell Peak

 Georgia Institute of Technology, Atlanta, Georgia 30332-0560russell.peak@marc.gatech.edu

Bipin Chadha

 Coensys www.coensys.combchadha@coensys.com

Plamen Bliznakov

 PTC, Needham, MAplamen@ptc.com

J. Comput. Inf. Sci. Eng 5(3), 227-237 (Sep 01, 2005) (11 pages) doi:10.1115/1.2031270 History:

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.

Copyright © 2005 by American Society of Mechanical Engineers
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Figure 2

PLM coverage and impact

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Figure 3

VPE logical and functional architecture

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Figure 4

Shift in configuration control from a document-centric process (2) to an item-centric process (1)

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Figure 5

(a) Fine-grain structure with interfaces to insulate unnecessary change propagation. (b) Instance model of fine-grain structure.




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