We focus on the problem of designing a supply chain for a new product. We propose a stochastic dynamic program based on a Stochastic Bass Model of the product demand dynamics. We heuristically solve our model using Monte Carlo simulation and math programming techniques. We apply our approach to the case of a new distribution service for Made-in-Italy wine and food products, benchmarking the performance of our heuristic policy against the performance of an easier to compute heuristic policy and a lower bound.
Dello Stritto, G., Falsini, D., Schiraldi, M.m., Secomandi, N. (2012). A stochastic dynamic programming approach for integrating supply chain network design and new product diffusion. In Proceedings of the 4th P&OM World Conference. Amsterdam : POMS.
A stochastic dynamic programming approach for integrating supply chain network design and new product diffusion
SCHIRALDI, MASSIMILIANO MARIA;
2012-07-01
Abstract
We focus on the problem of designing a supply chain for a new product. We propose a stochastic dynamic program based on a Stochastic Bass Model of the product demand dynamics. We heuristically solve our model using Monte Carlo simulation and math programming techniques. We apply our approach to the case of a new distribution service for Made-in-Italy wine and food products, benchmarking the performance of our heuristic policy against the performance of an easier to compute heuristic policy and a lower bound.File | Dimensione | Formato | |
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