A Hybrid Model for Sales Forecasting in Healthcare Supply Chain

Jing SUN

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.


Keywords


Drug time series; Healthcare supply chain; Forecasting

Full Text:

PDF

References


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

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 sun jing

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Share us to:   


Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address: 9375 Rue de Roissy Brossard, Québec, J4X 3A1, Canada

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures