Exploration and Prioritization of Just in Time Enablers for Sustainable Healthcare: An Integrated GRA-Fuzzy TOPSIS Application

The increased healthcare costs, improved service quality, and sustainability-oriented
customer demand have forced the healthcare sector to relook their current process. The present
work deals with the identification, analysis, and prioritization of Just in Time (JIT) enablers in
the healthcare sector.
JIT leads to waste reduction, improves productivity, and
provides high quality patient care. The practical implementation of JIT depends on vital factors
known as enablers. The enablers have been found through the comprehensive literature review
and prioritized using responses from different healthcare facilities of national capital region of
India. Grey Relational Analysis (GRA) has been used in the present study to rank enablers and
ranks were further validated using fuzzy TOPSIS and sensitivity analysis.
It has been found that top management support, teamwork, and real-time information
sharing are the most significant enablers of JIT in healthcare with grey relational grades 0.956,
0.832, and 0.718, respectively. The corresponding closeness coefficients of the fuzzy TOPSIS
for the enablers were found as 0.875, 0.802, and 0.688, respectively. The findings of the present
research work will facilitate the healthcare organizations to implement a comprehensive JIT
approach that further leads to improved patient care at low cost.
The present study is unique in terms of the exploration of the readiness measures or
enablers of JIT using GRA and fuzzy TOPSIS. The findings of the present research work will
facilitate the healthcare organizations to optimize their resources for better patient care.

CC0 1.0 Universal