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Journal of Industrial Engineering and Management Studies، جلد ۸، شماره ۱، صفحات ۲۱۸-۲۳۹
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عنوان انگلیسی Determining the optimal portfolio for healthcare processes management using a hybrid decision-making approach
چکیده انگلیسی مقاله Due to the increasing progress in various industries, paying attention to the internal processes of the organizations is more visible to stay on the competitive scene. Therefore, many organizations attempt to simplify and evaluate their internal processes using re-engineering. By reviewing the conducted studies, it can be stated that one of the existing problems in the implementation of re-engineering projects is the selection of the optimal portfolio of processes. Hence, this study aims to provide a bi-objective mathematical model for selecting processes in the re-engineering project by considering two key assumptions include improvement in achieving organizational goals and staff resistance. To this end, first, the impact of processes on organizational goals is specified by experts and then the goals’ weights are obtained using a fuzzy Best Worst Method. Finally, the proposed model is solved by an augmented ε-constraint method and the optimal portfolio of processes is selected. Also, a public Hospital of Sari as a real-world case study is employed to set the values of model parameters. Finally, the obtained results are reported and using a sensitivity analysis, several directions are provided. The results show that changes in the staff resistance directly affects the second objective function, while changes in the improvement created by each process affect the first objective function. Also, changes in costs have little effect on either objective functions.
کلیدواژه‌های انگلیسی مقاله Optimal Portfolio,healthcare processes management,augmented ε-constraint method,fuzzy best worst method,Sensitivity analysis
نویسندگان مقاله Armin Cheraghalipour |
Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran.

Emad Roghanian |
Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran.

نشانی اینترنتی https://jiems.icms.ac.ir/article_133511_8da6046b48e94e75695c30e7807196e5.pdf
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