A product information modeling framework for product lifecycle management

By Rachuri Sudarsan, S. Fenves, Ram D. Sriram, F. Wang. Comput. Aided Des., 2005

569 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/26eb5440de0aa4f7c7bbe12857e5bc4a10443130

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Adrie J. M. Beulens
2. Bedir Tekinerdogan
3. Dimitris Kiritsis
4. Sjaak Wolfert
5. Cor N. Verdouw

In Management of Technology and Innovation

1. Ronald Ramirez
2. Iain M. Cockburn

In Mechanical Engineering

1. Bedir Tekinerdogan

Citations in the corpus

• Digital twins in smart farming (2021, background): “…product management system that can be accessed by any user in any stage of the Product Life Cycle, for example for through-life performance information, design optimization and manufacturing sys-tem improvement (Philpotts, 1996; Kovacs et al., 1998; Sudarsan et al., 2005; Schleich et al., 2017).”
• Taming Dr. Frankenstein: Contract-Based Design for Cyber-Physical Systems (2012, background): “Shared use of Product Lifcycle Management (PLM) [38] databases across the supply chain offers further potentials for crosssupply chain optimization of development processes.”
• Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry (2016, background): “Product-Lifecycle-Management (PLM) is a concept which deals with the seamless integration of all information produced throughout all phases of the whole lifecycle of a company’s product [48].”
• Closed-loop PLM for intelligent products in the era of the Internet of things (2011, background): “[33] proposed a conceptual framework for product information interoperability to access, store, serve, and reuse whole product lifecycle information.”
• Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity (2012, background): “This allows team members to integrate their design efforts, whether located in local or distant R&D centers, from product conception through final assembly (Sudarsan et al. 2005; Gordon et al. 2008; Bartholomew 2005).”
• Contracts for System Design (2018, unknown): “19See [162] and also footnote 4.”