A simulation-based process model for managing complex design projects
S. CHO, and S. EPPINGER. IEEE Transactions on Engineering Management, 52 (3):
316-327(2005)
Abstract
This paper presents a process modeling and analysis technique for
managing complex design projects using advanced simulation. The model
computes the probability distribution of lead time in a stochastic,
resource-constrained project network where iterations take place
among sequential, parallel, and overlapped tasks. The model uses
the design structure matrix representation to capture the information
flows between tasks. We use a simulation-based analysis to account
for many realistic aspects of design process behavior which were
not possible in previous analytical models. We propose a heuristic
for the stochastic, resource-constrained project scheduling problem
in an iterative project network. The model can be used for better
project planning and control by identifying leverage points for process
improvements, and for evaluating alternative planning and execution
strategies. An industrial example is provided to illustrate the utility
of the model.
%0 Journal Article
%1 Cho2005
%A CHO, S. H.
%A EPPINGER, S. D.
%D 2005
%J IEEE Transactions on Engineering Management
%K Design design iteration, management, matrix, modeling, process project simulation structure
%N 3
%P 316-327
%T A simulation-based process model for managing complex design projects
%V 52
%X This paper presents a process modeling and analysis technique for
managing complex design projects using advanced simulation. The model
computes the probability distribution of lead time in a stochastic,
resource-constrained project network where iterations take place
among sequential, parallel, and overlapped tasks. The model uses
the design structure matrix representation to capture the information
flows between tasks. We use a simulation-based analysis to account
for many realistic aspects of design process behavior which were
not possible in previous analytical models. We propose a heuristic
for the stochastic, resource-constrained project scheduling problem
in an iterative project network. The model can be used for better
project planning and control by identifying leverage points for process
improvements, and for evaluating alternative planning and execution
strategies. An industrial example is provided to illustrate the utility
of the model.
@article{Cho2005,
abstract = {This paper presents a process modeling and analysis technique for
managing complex design projects using advanced simulation. The model
computes the probability distribution of lead time in a stochastic,
resource-constrained project network where iterations take place
among sequential, parallel, and overlapped tasks. The model uses
the design structure matrix representation to capture the information
flows between tasks. We use a simulation-based analysis to account
for many realistic aspects of design process behavior which were
not possible in previous analytical models. We propose a heuristic
for the stochastic, resource-constrained project scheduling problem
in an iterative project network. The model can be used for better
project planning and control by identifying leverage points for process
improvements, and for evaluating alternative planning and execution
strategies. An industrial example is provided to illustrate the utility
of the model.},
added-at = {2011-08-05T23:55:24.000+0200},
author = {CHO, S. H. and EPPINGER, S. D.},
biburl = {https://www.bibsonomy.org/bibtex/2a8c575182d283c0e5792c1f5642a30bf/lgmarujo},
file = {:PhD Files\\Project Management\\Cho Simul Man Compl Design Proj_IEEE_2005_52
3.pdf:PDF},
interhash = {16825de0e0db3210e7ff6153115ce7a4},
intrahash = {a8c575182d283c0e5792c1f5642a30bf},
journal = {IEEE Transactions on Engineering Management},
keywords = {Design design iteration, management, matrix, modeling, process project simulation structure},
number = 3,
owner = {Lino},
pages = {316-327},
timestamp = {2011-08-05T23:55:24.000+0200},
title = {A simulation-based process model for managing complex design projects},
volume = 52,
year = 2005
}