Systems and software engineering. Content management for product lifecycle, user and service management documentation

2015 ◽  
Keyword(s):  
Software Engineering ◽  
Service Management ◽  
Content Management ◽  
Product Lifecycle

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

2005 ◽  
Vol 5 (3) ◽  
pp. 227-237 ◽  
Author(s):  
Ravi M. Rangan ◽  
Steve M. Rohde ◽  
Russell Peak ◽  
Bipin Chadha ◽  
Plamen Bliznakov
Keyword(s):  
Change Management ◽  
Data Exchange ◽  
Service Management ◽  
Systems Design ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Research Issues ◽  
Product Data ◽  
Corporate Executives ◽  
Lifecycle Management

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.

Conceptual Content Management for Software Engineering Processes

2005 ◽  
pp. 309-323 ◽  
Author(s):  
Sebastian Bossung ◽  
Hans-Werner Sehring ◽  
Michael Skusa ◽  
Joachim W. Schmidt
Keyword(s):  
Software Engineering ◽  
Content Management ◽  
Conceptual Content

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

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