Azadeh A, Motevali Haghighi S, Gaeini Z, Shabanpour N
School of Industrial and Systems Engineering, Center of Excellence for Intelligent-Based Experimental Mechanic, and Department of Engineering Optimization Research, College of Engineering, University of Tehran, Iran.
School of Industrial and Systems Engineering, Center of Excellence for Intelligent-Based Experimental Mechanic, and Department of Engineering Optimization Research, College of Engineering, University of Tehran, Iran; Department of Industrial Engineering, Esfarayen University of Technology, Esfarayen, Iran.
Appl Ergon. 2016 Jul;55:46-55. doi: 10.1016/j.apergo.2016.01.002. Epub 2016 Jan 29.
This study presents an integrated approach for analyzing the impact of macro-ergonomics factors in healthcare supply chain (HCSC) by data envelopment analysis (DEA). The case of this study is the supply chain (SC) of a real hospital. Thus, healthcare standards and macro-ergonomics factors are considered to be modeled by the mathematical programming approach. Over 28 subsidiary SC divisions with parallel missions and objectives are evaluated by analyzing inputs and outputs through DEA. Each division in this HCSC is considered as decision making unit (DMU). This approach can analyze the impact of macro-ergonomics factors on supply chain management (SCM) in healthcare sector. Also, this method ranks the relevant performance efficiencies of each HCSC. In this study by using proposed method, the most effective macro-ergonomics factor on HCSC is identified as "teamwork" issue. Also, this study would help managers to identify the areas of weaknesses in their SCM system and set improvement target plan for the related SCM system in healthcare industry. To the best of our knowledge, this is the first study for macro-ergonomics optimization of HCSC.
本研究提出了一种通过数据包络分析（DEA）来分析宏观工效学因素对医疗供应链（HCSC）影响的综合方法。本研究的案例是一家真实医院的供应链（SC）。因此，医疗标准和宏观工效学因素被认为可通过数学规划方法进行建模。通过DEA分析输入和输出，对28个以上具有并行任务和目标的附属供应链部门进行了评估。该医疗供应链中的每个部门都被视为决策单元（DMU）。这种方法可以分析宏观工效学因素对医疗行业供应链管理（SCM）的影响。此外，该方法还对每个医疗供应链的相关绩效效率进行排名。在本研究中，通过使用所提出的方法，确定对医疗供应链最有效的宏观工效学因素为“团队合作”问题。此外，本研究将帮助管理者识别其供应链管理系统中的薄弱环节，并为医疗行业相关的供应链管理系统制定改进目标计划。据我们所知，这是第一项对医疗供应链进行宏观工效学优化的研究。
