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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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Taylor & Francis Group
2017
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/aca087f279bf4789be4943cdbc09f782 |
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