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Article
What Drives Patient Satisfaction: A Rough Set Approach
International Journal of Simulation and Process Modelling
  • Yuerong Chen
  • Shengyong Wang, University of Akron Main Campus
  • Chien-Chung Chan, University of Akron Main Campus
  • Tejas Gandhi
Document Type
Article
Publication Date
1-1-2014
Abstract

This paper considers an inventory system that consists of a supplier, a retailer, and customers. The retailer adopts a continuous-review inventory policy, applies dynamic pricing and is subject to supply disruptions. Customer demands are price-sensitive. The inventory system is simulated and the impacts of supply disruptions and dynamic pricing are investigated. The experimental results provide managerial suggestions to the retailer. For instance, the retailer should pay more attention to supply disruption duration than disruption frequency. Besides, the retailer ought to consider the scenarios of supply disruptions and customer demand variation before making a dynamic pricing strategy.

Citation Information
Yuerong Chen, Shengyong Wang, Chien-Chung Chan and Tejas Gandhi. "What Drives Patient Satisfaction: A Rough Set Approach" International Journal of Simulation and Process Modelling Vol. 7 Iss. 4 (2014) p. 240 - 248
Available at: http://works.bepress.com/shengyong_wang/6/