Fuzzy-set qualitative comparative analysis: A tool to evaluate the impact of training on human factors in Ayurvedic drug manufacturing
Author(s):
Hemaxi Mankodi, Vinay Shukla and Biswajyoti Patgiri
Abstract:
A pharmaceutical manufacturing process involves many variables that affect the product quality viz. sensory variables, process variables as well as human factors. Humans are involved at each and every step of the process and play a significant role in improving the product quality. One way to control human factors is training. In the present study, the impact of training was evaluated using fuzzy-set qualitative comparative analysis (fsQCA). The data was collected from the subjects exposed to training in various segments of Ayurvedic drug manufacturing through a multiple-choice questionnaire. The data-set was constructed by taking into consideration the process variables as conditions and successful training as the outcome and fsQCA was applied. The results obtained from fsQCA revealed that training plays a significant role in controlling the human factor thereby affecting product quality. Hence, among the various factors considered for poor quality, human factors should also be taken into consideration.
How to cite this article:
Hemaxi Mankodi, Vinay Shukla, Biswajyoti Patgiri. Fuzzy-set qualitative comparative analysis: A tool to evaluate the impact of training on human factors in Ayurvedic drug manufacturing. Pharma Innovation 2019;8(4):909-913.