Abstract—Project scheduling is an important research and application area in engineering management. Recent research in this area addresses resource constrained as well as stochastic duration. This paper demonstrates a simulation-based model for solving resource-constrained research and development projects (R&D) scheduling problems and calculates the total time of DSM using discrete event simulation. This model used Design Structure Matrix (DSM) to represent the information exchange among various tasks of a project, instead of a simple binary precedence relationship. DSM is capable of quantifying the extent of interactions as well. In particular, these interactions are characterized by rework probabilities, rework impact and learning. Results obtained showed an improved solution compared to earlier studies.
Index Terms—DSM (Design Structure Matrix), PSO (Particle Swarm Optimization), RCPSP (Resource Constrained Project Scheduling Problems).
The authors are with the Faculty of Computers and Information, Cairo University, 5 Ahmed Zewail st., Orman, Giza, 12311, Egypt (e-mail: h.abdelsalam@ fci-cu.edu.eg, hayam@ fci-cu.edu.eg).
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Cite:Hisham M. Abdelsalam, Mohamed H. Rasmy, and Hayam G. Mohamed, "A Simulation-Based Time Reduction Approach for Resource Constrained Design Structure Matrix," International Journal of Modeling and Optimization vol. 4, no. 1, pp. 51-55, 2014.
