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摘要
This paper proposes a multi-agent simulation model of the optimal strategies for new product development (NPD) in a complex and changing industry environment. Three of the non-linear relations are considered, such as the relations between relational contracts and supply auctions, rapidly and slowly renewing firms, with and without mutation evolution strategies. An agent (a virtual firm) has one of six business strategies for introducing new products and pricing in each simulation period dynamically. A new agent will be substituted which selected from stochastic agent group when a failure agent turn-up. A number of experiments are conducted to the model with different settings of parameters, such as the experiments that manipulated by the genetic and evolutionary parameters. The model should be available as a toolkit for studying the optimal NPD strategies in different supply chains.
