این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
صفحه اصلی
درباره پایگاه
فهرست سامانه ها
الزامات سامانه ها
فهرست سازمانی
تماس با ما
JCR 2016
جستجوی مقالات
دوشنبه 4 اسفند 1404
مدیریت صنعتی
، جلد ۱۷، شماره ۲، صفحات ۸۵-۱۱۶
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Enhancing Decision-Making in Healthcare Systems: Lean, Agile, Resilient, Green, and Sustainable (LARGS) Paradigm for Performance Evaluation of Hospital Departments under Uncertainty
چکیده انگلیسی مقاله
Objective
: This research aims to propose a multi-criteria decision-making model for ranking hospital departments. The primary purpose of this model is to assist managers in the optimal allocation of limited resources, thereby reducing costs while increasing patient satisfaction. The ranking results help managers in decision-making processes such as equipment development, staff training, and addressing patient complaints.
Methods
: This study evaluated the performance of five hospital departments (Emergency, Ophthalmology, Cardiovascular, Infectious, and Neurology) in Shiraz, Iran, using the fuzzy DEMATEL-MARCOS multi-criteria decision-making method. Firstly, criteria were prioritized using the fuzzy DEMATEL method, after which hospital departments were ranked using the fuzzy MARCOS method. A sensitivity analysis was conducted to validate the results.
Results
: Performance metrics for the hospital departments were identified based on the Lean, Agile, Resilient, Green, and Sustainable (LARGS) paradigm. The results revealed that patient satisfaction and job satisfaction had the most substantial influence on performance, while reducing excess transportation and over-processing had the least impact. Utilizing the fuzzy MARCOS method, the hospital departments were ranked according to their overall desirability. The sensitivity of these rankings was assessed by adjusting the weights of the criteria. A comparative analysis with four other fuzzy methods (ARAS, COCOSO, EDAS, and WASPAS) confirmed that the fuzzy MARCOS method was the most effective tool for prioritizing hospital departments.
Conclusion
: The fuzzy MARCOS results indicated that the “Infectious Department” performed well, while the “Ophthalmology Department” required improvement. Enhancing the “Infectious Department” hinged on better staff training, cost reduction, and safe waste management. This research introduces a novel approach using the fuzzy DEMATEL-MARCOS model, enabling hospitals to assess performance through modern methodologies, such as Lean, Agile, Resilient, Green, and Sustainable, even in uncertain conditions
کلیدواژههای انگلیسی مقاله
Performance Evaluation of Health Care Systems,Fuzzy DEMATEL,Uncertainty,LARGS,Fuzzy MARCOS
نویسندگان مقاله
Salman Nazari-Shirkouhi |
Department of Industrial and Systems Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Reihane Zarei Babaarabi |
Department of Industrial and Systems Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, Tehran, Iran.
نشانی اینترنتی
https://imj.ut.ac.ir/article_102454_6dc45f789ea44455fe1ae434163f523f.pdf
فایل مقاله
فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به:
صفحه اول پایگاه
|
نسخه مرتبط
|
نشریه مرتبط
|
فهرست نشریات