{"title":"供应链绩效指标聚合及模糊逻辑扩展在绿色供应链中的应用","authors":"Mohamed El Alaoui, Hussain Ben-Azza","doi":"10.1109/LOGISTIQUA.2017.7962870","DOIUrl":null,"url":null,"abstract":"In order to monitor the performance of a supply chain, decision-makers have the habit to use performance indicators. However, the multiplicity of indicators, quantitative ones or qualitative ones, pushes to merge them, to simplify diagnostic and facilitate comparisons. In this work, we propose a new aggregation operator, aiming to fix drawbacks of usual arithmetic means. An extension to fuzzy logic is given.","PeriodicalId":310750,"journal":{"name":"2017 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Aggregation of performance indicators for supply chain and fuzzy logic extensions applied to green supply chain\",\"authors\":\"Mohamed El Alaoui, Hussain Ben-Azza\",\"doi\":\"10.1109/LOGISTIQUA.2017.7962870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to monitor the performance of a supply chain, decision-makers have the habit to use performance indicators. However, the multiplicity of indicators, quantitative ones or qualitative ones, pushes to merge them, to simplify diagnostic and facilitate comparisons. In this work, we propose a new aggregation operator, aiming to fix drawbacks of usual arithmetic means. An extension to fuzzy logic is given.\",\"PeriodicalId\":310750,\"journal\":{\"name\":\"2017 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LOGISTIQUA.2017.7962870\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LOGISTIQUA.2017.7962870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aggregation of performance indicators for supply chain and fuzzy logic extensions applied to green supply chain
In order to monitor the performance of a supply chain, decision-makers have the habit to use performance indicators. However, the multiplicity of indicators, quantitative ones or qualitative ones, pushes to merge them, to simplify diagnostic and facilitate comparisons. In this work, we propose a new aggregation operator, aiming to fix drawbacks of usual arithmetic means. An extension to fuzzy logic is given.