Title
Convergence Analysis and Iteration Estimation for a Coupled Design Process With Overlap in Redesign
Abstract
In Smith and Eppinger's pioneering research on coupled design processes, the dynamics of design iterations is modeled by a linear model, which implies that there is no overlap between redesign work and allows redesign workload to be more than the original design workload. Actually, this overlap often exists in practice and, therefore, reduces the total redesign workload. In this paper, we propose a nonlinear model for a coupled design process with overlap between redesign work and ensure that redesign workload is less than the original design workload. Based on the model, the sufficiency condition for the convergence of such a design process is proposed. A heuristic rule is also given to reduce the possibility of considering a design process that converges as one that does not converge. Furthermore, we develop a sufficiency condition for estimating the number of design iterations before converging as such an estimate is important for planning product development projects. Another heuristic rule is also introduced to increase the accuracy of estimating design iterations. Finally, numerical experiments are conducted to examine the correctness and performance of the proposed sufficiency conditions and heuristic rules.
Year
DOI
Venue
2012
10.1109/TEM.2011.2170691
Engineering Management, IEEE Transactions
Keywords
Field
DocType
convergence,iterative methods,product development,production planning,recycling,convergence analysis,coupled design process,design iteration dynamics,design iteration estimation,heuristic rules,iteration estimation,linear model,product development project planning,sufficiency condition,total redesign workload,lyapunov stability,design iteration,design structure matrix (dsm)
Convergence (routing),Heuristic,Mathematical optimization,Computer science,Iterative method,Workload,Correctness,Iterative design,Design process,New product development
Journal
Volume
Issue
ISSN
59
4
0018-9391
Citations 
PageRank 
References 
2
0.38
10
Authors
2
Name
Order
Citations
PageRank
Zheng Wang16412.16
Christopher L. Magee26610.73