The optimal approach for parameter settings based on adjustable contracting capacity for the hospital supply chain logistics system

Authors:
Hung-Chang Liao;Hsu-Hwa Chang
Affiliations:
Department of Health Services Administration, Chung-Shan Medical University, No. 110, Sec. 1, Jian-Koa N. Road, Taichung 402, Taiwan and Department of Medical Education, Chung-Shan Medical Univers ...;Department of Business Administration, National Taipei College of Business, No. 321, Sec. 1, Chi-Nan Road, Taipei, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

This paper establishes a simulation model for the supply chain of the hospital logistic system (SCHLS) based on the dynamic Taguchi method. The model derives optimal factor level combinations in the SCHLS setting when establishing adjustable contracting capacity between SCHLS and the pharmaceutical company. To attempt the goal, this study adopts the SCHLS case in the North Alliance of the Department of Health of Taiwan. The data collection uses a simulation based on Taguchi's L"1"8 orthogonal table for SCHLS. This work also proposes an optimal approach, including the neural network (NN) and genetic algorithm (GA), to obtain an optimal robust design in achieving optimal SCHLS multi-performance. The research results show that the predicted response of multi-performance in the optimal approach is better than that in Taguchi.