Validation of a demand forecasting method based on a stochastic process using real-world data

Abstract Demand-forecasting problems frequently arise in logistics and supply chain management. The Newsboy problem is one such problem. In this paper, we present an improved solution method by application of the Black–Scholes model incorporating a stochastic process used in financial engineering for option pricing. The proposed model is shown to be effective through numerical experiments using real-world data.