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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cogent OA,
2017-03.
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| Subjects: | |
| Online Access: | Get fulltext |