Abstract
This paper proposes a simulation model which recreates the change in price-sales distribution of general-purpose electronic parts (GEPs) due to fluctuations in business. We apply the hedonic approach to extract characteristics such as value drivers from the attributes of the GEPs. Using the concept that if the hedonic function for the characteristics is linear, then the GEPs are decomposed into unit-price and the unit-characteristic, we could interpret the GEPs as a characteristic cluster. Our simulation model is composed of the following three elements. 1) characteristic cluster, 2) random numbers lattice as a virtual market, and 3) the probability of the agreement at each lattice point. According to our simulation results, the cluster size-frequency distribution was approximate to the price-sales distribution observed from the real sales data. Additionally, with the decreased probability of the agreement in the business slowdown period, we found that the behavior of the cluster size-frequency distribution corresponds to the price-sales distribution obtained from the sales data of the real business slowdown period.
