Authors:
Weilin Li
and
Young B. Moon
Affiliation:
Syracuse University, United States
Keyword(s):
Engineering Change Management, New Product Development, Process Modeling, Discrete-Event Simulation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Process Management
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
Information Systems Analysis and Specification
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Modeling Concepts and Information Integration Tools
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
Abstract:
This paper presents a process model for managing Engineering Changes (ECs) while other New Product Development (NPD) activities are being carried out in a company. The discrete-event simulation model incorporates Engineering Change Management (ECM) into an NPD environment by allowing ECs to share resources with regular NPD activities. Six model variables - (i) overlapping, (ii) NPD departmental interaction, (iii) ECM effort, (iv) resource constraints, (v) arrival rate, and (vi) resource using priority - are explored to identify how they affect lead time and productivity of both NPD and ECM. Decision-making suggestions for minimum EC impact are then drawn from an overall enterprise system level perspective based on the simulation results.