Product data management (PDM) is an essential tool that assists engineers and others manage both engineering data and the product development process. This study aims to evaluate the advantages and justify the implementation a PDM system at the broadband wireless group (BWG) of a major telecommunications firm located in Pittsburgh, PA. Examines results of previous PDM implementations and obtains primary data via a department staff survey regarding time spent searching for product or part information, product development cycle time, and information exchange or sharing. Illustrates that PDM implementations have led to significant improvement in all facets of product design, documentation, introduction, manufacturing, and support. These improvements will result in an increase in design reuse and a decrease in product development costs and the number of engineering changes.
Article navigation
1 August 2004
Research Article|
August 01 2004
Empirical exploration for a product data management (PDA) system at a major telecommunications firm
Alan D. Smith
Alan D. Smith
Professor of Operations Management, Department of Marketing and Management, Robert Morris University, Pittsburgh, Pennsylvania, USA
Search for other works by this author on:
Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© Emerald Group Publishing Limited
2004
Industrial Management & Data Systems (2004) 104 (6): 513–525.
Citation
Smith AD (2004), "Empirical exploration for a product data management (PDA) system at a major telecommunications firm". Industrial Management & Data Systems, Vol. 104 No. 6 pp. 513–525, doi: https://doi.org/10.1108/02635570410543816
Download citation file:
New and popular articles
Suggested Reading
The need for a new product development framework for engineer‐to‐order products
European Journal of Innovation Management (September,2003)
Strategies for the adaptation of ERP systems
Industrial Management & Data Systems (April,2004)
Project management: a case study of a successful ERP implementation
International Journal of Managing Projects in Business (January,2008)
Laser sensors maximize gains and minimize losses
Sensor Review (January,2008)
Data model design for manufacturing execution system
Journal of Manufacturing Technology Management (December,2005)
Related Chapters
Garbage in, Garbage out: A Theory-Driven Approach to Improve Data Handling in Supervised Machine Learning
Methods to Improve Our Field
The Role of Operations in a Mega Project
Crossrail Project: Infrastructure Design and Construction
Case studies
Programme Management in Construction
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
