Title of article :
Performance Measurement with Lean, Agile and Green Considerations: An Interval-Valued Fuzzy TOPSIS Approach in Healthcare Industry
Author/Authors :
Rahiminezhad Galankashi ، Masoud Department of Industrial, Mechanical and Aerospace Engineering - Buein Zahra Technical University , Rahmani ، Fatemeh Faculty of Industrial Engineering - University of Science and Technology of Mazandaran , Rahmani ، Akram Technical and Vocational University , Bozorgi-Amiri ، Ali School of Industrial Engineering, College of Engineering School of Industrial Engineering, College of Engineering - University of Tehran , Imani ، Din Mohammad School of Industrial Engineering - Iran University of Science and Technology
Abstract :
This study develops an integrated classic-interval-valued fuzzy TOPSIS approach to assess performance of different departments of a hospital. Although the concept of performance measurement has been discussed in previous studies, its concurrent integration with lean, agile, and green strategies is less investigated. Therefore, this research has been completed in three linked phases as follows. Firstly, the critical metrics of lean, agile, and green strategies are extracted from previous literature. Secondly, a fuzzy TOPSIS approach is developed to compare three departments of a hospital using the investigated metrics of previous phase. According to the obtained results of this phase, the eye, and emergency departments are the best and worst departments, respectively. Next, the obtained results are checked by an interval-valued fuzzy TOPSIS approach for further investigation in the third phase. Similarly, approving the previous results, eye department provides the best performance according to the second approach. As a contribution, this research showed that different MCDM techniques might provide a same result. Furthermore, the developed methodology can be applied to assess and compare the performance of different departments.
Keywords :
Performance measurement , lean manufacturing , agile manufacturing , green manufacturing , Fuzzy logic
Journal title :
International Journal of Supply and Operations Management (IJSOM)
Journal title :
International Journal of Supply and Operations Management (IJSOM)