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

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

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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: Najmeh Madadi, Azanizawati Ma’aram, Kuan Yew Wong
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Cogent Business & Management
Subjects:
demand forecast
stochastic differential equation
simulation
uncertainties
gbm
interpolation
Online Access:http://dx.doi.org/10.1080/23311975.2017.1300992

Internet

http://dx.doi.org/10.1080/23311975.2017.1300992

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