A simulation-based product diffusion forecasting method using geometric Brownian motion and spline interpolation

This study addresses the problem of stochasticity in forecasting diffusion of a new product with scarce historical data. Demand uncertainties are calibrated using a geometric Brownian motion (GBM) process. The spline interpolation (SI) method and curve fitting process have been utilized to obtain pa...

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Bibliographic Details
Main Authors: Madadi, Najmeh, Ma'aram, Azanizawati, Kuan, Yew Wong
Format: Article
Language:English
Published: Cogent OA 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/77558/1/NajmehMadadi2017_ASimulationBasedProductDiffusionForecastingMethod.pdf
http://eprints.utm.my/id/eprint/77558/
http://dx.doi.org/10.1080/23311975.2017.1300992
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