The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
A Simulation-Based Process Model for Managing Complex Design Projects
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.
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Cites
McKay, M. D., Beckman, R. J., & Conover, W. J. (2000) · Technometrics · doi:10.2307/1271432 · Cited by 7,415
McKay, M. D., Beckman, R. J., & Conover, W. J. (1979) · Technometrics · doi:10.2307/1268522 · Cited by 3,757
Revolutionizing Product Development: Quantum Leaps in Speed, Efficiency and Quality
Wheelwright, S. C., & Clark, K. B. (1992) · Cited by 2,675
Product development performance: strategy, organization, and management in the world auto industry
(1991) · Choice Reviews Online · doi:10.5860/choice.29-1591 · Cited by 2,389
The design structure system: A method for managing the design of complex systems
Steward, D. V. (1981) · IEEE Transactions on Engineering Management · doi:10.1109/tem.1981.6448589 · Cited by 1,749
The new new product development game
(1986) · Journal of Product Innovation Management · doi:10.1016/0737-6782(86)90053-6 · Cited by 1,573
Scheduling subject to resource constraints: classification and complexity
Blazewicz, J., Lenstra, J. K., & Kan, A. H. G. R. (1983) · Discrete Applied Mathematics · doi:10.1016/0166-218x(83)90012-4 · Cited by 1,436
Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems
Zeigler, B. P., Praehofer, H., & Kim, T. G. (2000) · Cited by 1,098
A model-based method for organizing tasks in product development
Eppinger, S. D., Whitney, D. E., Smith, R. P., & Gebala, D. A. (1994) · Research in Engineering Design · doi:10.1007/bf01588087 · Cited by 1,022
Self-citationApplication of a Technique for Research and Development Program Evaluation
Malcolm, D. G., Roseboom, J. H., Clark, C. E., & Fazar, W. (1959) · Operations Research · doi:10.1287/opre.7.5.646 · Cited by 930
Cited by
Afzal, F., Yunfei, S., Nazir, M., & Bhatti, S. M. (2021) · International Journal of Managing Projects in Business · doi:10.1108/ijmpb-02-2019-0047 · Cited by 172
Metadata
- Authors
- Cho, S.-H., & Eppinger, S. D.
- Venue
- IEEE Transactions on Engineering Management
- Published
- 2005-08
- Volume
- 52
- Issue
- 3
- Pages
- 316-328
- ISSN
- 0018-9391 (ISSN-L)
- OpenAlex
- W2139917491
- Cited by
- 293
- References
- 30
- FWCI
- 24.46
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
