Monotonic robust optimal control policies for the time-quality trade-offs in concurrent new product development (NPD)
Recent research suggests that new product specifications evolve during its realization. In this paper, we introduce a nonstationary Markovian model that supports the dynamic achievement of the new product definition without precedence constraints, taking into account both market and technological uncertainty. We use lattice programming techniques to prove the existence of a nondecreasing monotonic optimal policy. Thus, we enable a more efficient computation of optimal policies of the Markov decision process. We also prove that the monotonic optimal paths are robust to the variation of key-parameters as the solving rate of the design activities and the safety margin for achieving the new product at the deadline. (c) 2006 Elsevier Ltd. All rights reserved.
new product development monotonic optimal policy nonstationary markov decision process robust optimal paths stochastic model