Title of article
A Dynamics Approach for Maturity Assessment of Hospital Supply Chain Management
Author/Authors
Setiawati ، Marla School of Business and Management - Institut Teknologi Bandung , Simatupang ، Togar Mangihut School of Business and Management - Institut Teknologi Bandung , Okdinawati ، Liane School of Business and Management - Institut Teknologi Bandung
From page
87
To page
102
Abstract
Maturity Assessment strives for continuous improvement in hospitals. Maturity assessment serves as one of valuable tools for hospitals to diagnose problems within their supply chain management processes and implement targeted solutions to improve overall performance and address challenges effectively and efficiently. Customer satisfaction, inventory management, technology and collaboration are the main problem that needs to be addressed in hospitals. This study aims to understand better the components of various variables in maturity assessment consisting of people, processes, technology, and partners of hospital supply chain management. Hospital Supply Chain Management (HSCM) is a supply chain management that focuses on reducing hospital costs while improving hospital services. This study utilizes qualitative data analysis using content analysis on semi-structured interview transcripts. The variables identified are modelled causal loop diagrams to provide and illustrate the interrelationship of the decision factors. Furthermore, the study found 27 decision factors from the interviews and then modelled them in the causal loop diagram. It showed four dominant factors influencing the maturity assessment in Hospital Supply Chain Management. Those are the number of trainings in the people area, the number of patients in the process area, supply chain integration in the technology area, and inventory management in the partner area.
Keywords
system dynamics , hospital supply chain management , supply chain integration , maturity assessment
Journal title
Journal of Optimization in Industrial Engineering
Journal title
Journal of Optimization in Industrial Engineering
Record number
2760049
Link To Document