A Hybrid Model for Sales Forecasting in Healthcare Supply Chain
Abstract
In this paper, a hybrid model is developed for drug time series in the healthcare supply chain. The model helps to make decisions about the strategic issues such as optimizing inventory and integrating healthcare supply chain. In order to verify and analyze the proposed model, the data was obtained from a real company. The model has practical significance after experiencing and managerial insights are provided.
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de Vries, J., & Huijsman, R. (2011). Supply chain management in health services: An overview. Supply Chain Management: An International Journal, 16(3), 159-165.
Garcia, D. J., & You, F. Q. (2015). Supply chain design and optimization: Challenges and opportunities. Computers and Chemical Engineering, 81, 153-170.
Jain, A., & Kumar, A. M. (2007). Hybrid neural network models for hydrologic time series forecasting. Applied Soft Computing, 7, 585-592.
Konstantinos, N. A., Buxton, S., Khammash, M., & Stern, P. (2016). Forecasting branded and generic pharmaceuticals. International Journal of Forecasting, 32, 344-357.
Lambert, D. L., Cooper, M. C., & Pagh, J. D. (1998). Supply chain management: Implementation issues and research opportunities. The International Journal of Logistics Management, 9(2), 1-20.
Rossetti, C. L., Handfield, R., & Dooley, K. J. (2011). Forces, trends, and decisions in pharmaceutical supply chain management. International Journal of Physical Distribution & Logistics Management, 41(6), 601-622.
Shah, N. (2004). Pharmaceutical supply chains: Key issues and strategies for optimization. Computers and Chemical Engineering, 28, 929-941.
Sushmita, A., Narayana, A. N., Rupesh Kumar, P. A., & Vrat, P. (2014). Managerial research on the pharmaceutical supply chain—A critical review and some insights for future directions. Journal of Purchasing & Supply Management, 20, 18-40.
Yu, L., Wang, S. Y., & Keung Lai, K. K. (2008). Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm. Energy Economics, 30, 2623-2635.
DOI: http://dx.doi.org/10.3968/n
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