Based on the critical analyses of the activity-based DSM and traditional project management techniques, a dynamic project schedule planning and control methodology for complex assembly product development is proposed. First, the product development process is modeled using activity-based Design Structure Matrix and is optimized by minimizing the feedback couplings and loops. The optimization results in a controllable set of DSMs. For each DSM, corresponding CPM network is constructed based on which the critical path and activities are identified and project lead time and cost are calculated. Finally, the optimal schedule plan is obtained based on the overall consideration of all the result DSMs and each of their CPM networks. The proposed methodology bridges the gap between product development process optimization approaches and project schedule planning and control techniques. A case study is provided to illustrate the feasibility of the proposed methodology.
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