Dynamic Modeling for Product Family Evolution Combined with Artificial Neural Network Based Forecasting Model: A Study of iPhone Evolution
preprint
posted on 2021-12-22, 17:39 authored by Sumana BiswasSumana Biswas, Ismail Ali, Ripon Chakrabortty, Hasan Hüseyin Turan, Sondoss Elsawah, Michael J. RyanProducts continuously evolve over time. Realizing the pattern of product family evolution along with proper estimation of features for future products has been regarded as a critical issue for business success. Focusing on this issue, a dynamic model for product family evolution combined with forecasting is proposed in this research work. The proposed model considers the influence of market demand, customer needs and technological requirements that are time-dependent. The methodology is a four-phase model. For each phase, the effectiveness of the developed approach is demonstrated with numerical simulation results and validated with a case study of Apple’s iPhone product family.
History
Email Address of Submitting Author
sumana.biswas@adfa.edu.auORCID of Submitting Author
https://orcid.org/0000-0003-3963-8020Submitting Author's Institution
University of New South WalesSubmitting Author's Country
- Australia