Product lifecycle management (PLM): A decision-making tool for project management

2021 ◽  
Author(s):  
Sumit Malabagi ◽  
Vinayak N. Kulkarni ◽  
V. N. Gaitonde ◽  
G. Jangali Satish ◽  
B. B. Kotturshettar
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Lifecycle Management ◽  
Decision Making Tool

Decision Making and Institutional Design for Product Lifecycle Management

CIRP Annals ◽  
2005 ◽  
Vol 54 (1) ◽  
pp. 407-412 ◽  
Author(s):  
K. Ueda ◽  
N. Nishino ◽  
H. Nakayama ◽  
S.H. Oda
Keyword(s):  
Decision Making ◽  
Institutional Design ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Lifecycle Management

Diagnosing Engineering Information Interoperability: Recognizing the Value of Standards-Based PLM — Part 1

2005 ◽  
Author(s):  
Manas Bajaj ◽  
Injoong Kim ◽  
Gregory Mocko ◽  
Russell Peak ◽  
Nsikan Udoyen ◽  
...  
Keyword(s):  
Decision Making ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Product Model ◽  
Business Decision ◽  
Prototype Tool ◽  
Engineering Information ◽  
Domain Models ◽  
Open Standards ◽  
Lifecycle Management

The notion of an open standards-based product lifecycle management (PLM) framework is gaining momentum. In this paper, we describe the idea of a standards-based collective product model (CPM) and its interaction with domain models native to typical engineering tools. A critical hurdle in the development of the CPM from domain models is assessing the compatibility of information in these native models to its corresponding standards-based representation. To address this, we use the concept of “degree-of-openness” of engineering information. This concept comprises three metrics, namely compatibility, coverage and completeness that are used to evaluate the interoperability of information in tool-specific models with its corresponding standards-based representation. We also demonstrate GT-Diagnostics, a prototype tool that evaluates these metrics. Using electrical and mechanical CAD examples, we illustrate the value of these metrics in understanding the relative interoperability of information for engineering and business decision making. Results indicate that the metrics help to identify the sources of incompatibility of information and the areas of possible improvement in the compared schemas.

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