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Smart Selection of Vendors in Health Services

机译:卫生服务厂商的智能选择

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Pharmaceutical procurement is a multi-criteria decisionmaking process that deals with optimization of conflicting objectives. This paper presents a multi-criteria decisionmaking system, based on Fuzzy expert system to rank the suppliers. The main objective of carrying out this study was to improve pharmaceutical procurement practices in Ministry of Health (MOH) in Kingdom of Bahrain and to overcome many difficulties in this field. Therefore, the data used to construct the system was gathered using structured questionnaires and administered interviews. The research sample for this study comprised of members from drug committee and from procurement department in MOH. The responses analyzed using descriptive statistics (SPSS). Throughout the data collection procedures, it was conformed to the researcher the current MOH state, pharmaceutical procurement practices, and the set of essential supplier selection criteria used. Data collected was fed to the constructed fuzzy expert system in MATLAB programming environment. Based on the results, supplier with the total highest score becomes the most suitable alternative. Numbers of recommendations offered to MOH, aiming to improve the procurement practices and trying to include modern business practices using IT and modern technological tools in healthcare procurement practices.
机译:制药采购是一种多标准决策过程,可处理相互矛盾的目标。本文介绍了一种基于模糊专家系统来对供应商进行排名的多标准决策系统。实施本研究的主要目标是在巴林王国改善卫生部(莫赫)的药品采购实践,并在这一领域克服许多困难。因此,使用结构化问卷和管理访谈收集用于构建系统的数据。该研究的研究样本由毒品委员会和莫赫的采购部门组成。使用描述性统计(SPSS)分析的响应。在整个数据收集程序中,它符合研究人员目前的MOH状态,药品采购实践以及所使用的必要供应商选择标准。收集的数据被馈送到MATLAB编程环境中的构建模糊专家系统。基于结果,总收入的供应商成为最合适的替代方案。为卫生提供的建议人数,旨在改善采购行为,并试图在医疗保健采购实践中包含现代技术工具和现代技术工具。

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