{"title":"基于SCOR的医院供应链绩效评价体系","authors":"Z. Anas, N. Sefiani, K. Reklaoui, Hamid Azzouzi","doi":"10.1109/LOGISTIQUA.2018.8428273","DOIUrl":null,"url":null,"abstract":"The literature on Hospital Supply Chain performance is limited and assessing the performance of the Hospital Supply Chain (HSC) is currently a key challenge. The sector has to balance the seemingly incompatible demand of cost reduction and quality improvement. Despite hospital supply chain having a great impact on hospital budgets, opportunities for optimization still exist and can be identified through performance measurement in order to enhance healthcare quality and have a harmonious relationship between care providers and patients. The developed SCOR metrics measurement system is a balanced set of financial and non-financial measures. The purpose of this study is to discuss the applicability of the SCOR performance system and evaluate the HSC performance based on five aspects i.e. Reliability, Responsiveness, Agility, Costs and Asset Management Efficiency. The main contribution of this paper is to improve practical performance and enhances management effectiveness for HSC. This study applies the Multiple Criteria Decision Making methods (MCDM) to evaluate the HSC performance. In general the service quality has abstract properties, which mean that using the previously known measurement approach is insufficient. A generalized quantitative evaluation model based on the Fuzzy Analytical Hierarchical Process (FAHP) was then used to consider both the interdependence among measures and the fuzziness of subjective measures in HSC.","PeriodicalId":175989,"journal":{"name":"2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A SCOR based Performance evaluation system of the Hospital Supply chain\",\"authors\":\"Z. Anas, N. Sefiani, K. Reklaoui, Hamid Azzouzi\",\"doi\":\"10.1109/LOGISTIQUA.2018.8428273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The literature on Hospital Supply Chain performance is limited and assessing the performance of the Hospital Supply Chain (HSC) is currently a key challenge. The sector has to balance the seemingly incompatible demand of cost reduction and quality improvement. Despite hospital supply chain having a great impact on hospital budgets, opportunities for optimization still exist and can be identified through performance measurement in order to enhance healthcare quality and have a harmonious relationship between care providers and patients. The developed SCOR metrics measurement system is a balanced set of financial and non-financial measures. The purpose of this study is to discuss the applicability of the SCOR performance system and evaluate the HSC performance based on five aspects i.e. Reliability, Responsiveness, Agility, Costs and Asset Management Efficiency. The main contribution of this paper is to improve practical performance and enhances management effectiveness for HSC. This study applies the Multiple Criteria Decision Making methods (MCDM) to evaluate the HSC performance. In general the service quality has abstract properties, which mean that using the previously known measurement approach is insufficient. A generalized quantitative evaluation model based on the Fuzzy Analytical Hierarchical Process (FAHP) was then used to consider both the interdependence among measures and the fuzziness of subjective measures in HSC.\",\"PeriodicalId\":175989,\"journal\":{\"name\":\"2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LOGISTIQUA.2018.8428273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LOGISTIQUA.2018.8428273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A SCOR based Performance evaluation system of the Hospital Supply chain
The literature on Hospital Supply Chain performance is limited and assessing the performance of the Hospital Supply Chain (HSC) is currently a key challenge. The sector has to balance the seemingly incompatible demand of cost reduction and quality improvement. Despite hospital supply chain having a great impact on hospital budgets, opportunities for optimization still exist and can be identified through performance measurement in order to enhance healthcare quality and have a harmonious relationship between care providers and patients. The developed SCOR metrics measurement system is a balanced set of financial and non-financial measures. The purpose of this study is to discuss the applicability of the SCOR performance system and evaluate the HSC performance based on five aspects i.e. Reliability, Responsiveness, Agility, Costs and Asset Management Efficiency. The main contribution of this paper is to improve practical performance and enhances management effectiveness for HSC. This study applies the Multiple Criteria Decision Making methods (MCDM) to evaluate the HSC performance. In general the service quality has abstract properties, which mean that using the previously known measurement approach is insufficient. A generalized quantitative evaluation model based on the Fuzzy Analytical Hierarchical Process (FAHP) was then used to consider both the interdependence among measures and the fuzziness of subjective measures in HSC.