{"title":"探讨物理、人文和技术因素对斗轮挖掘机效率的影响:一种模糊认知图方法","authors":"M. Menegaki, T. Michalakopoulos, C. Roumpos","doi":"10.1504/ijmme.2019.104447","DOIUrl":null,"url":null,"abstract":"Several parameters, e.g., characteristics of the excavated material, number and thickness of lignite layers, bucket wheel capacity, experience of personnel, etc., affect the efficiency of bucket wheel excavators (BWEs). In this paper, the fuzzy cognitive map (FCM) approach is used to explore the factors affecting the efficiency of BWEs as well as their interlinkages and interdependencies, based on an extensive review of scientific literature and expert intervention. The main goal is to provide a transparent and flexible model and propose a different simulation approach for complex mining systems that can interconnect the factors influencing system's behaviour. The implementation of the proposed model revealed significant differences in BWEs' efficiency under favourable and hostile conditions. This is a first step towards simulations intended to help mining practitioners, bridging the gap between 'pure' qualitative and quantitative approaches.","PeriodicalId":38622,"journal":{"name":"International Journal of Mining and Mineral Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmme.2019.104447","citationCount":"3","resultStr":"{\"title\":\"Exploring the effect of physical, human and technical factors on bucket wheel excavators' efficiency: a fuzzy cognitive map approach\",\"authors\":\"M. Menegaki, T. Michalakopoulos, C. Roumpos\",\"doi\":\"10.1504/ijmme.2019.104447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several parameters, e.g., characteristics of the excavated material, number and thickness of lignite layers, bucket wheel capacity, experience of personnel, etc., affect the efficiency of bucket wheel excavators (BWEs). In this paper, the fuzzy cognitive map (FCM) approach is used to explore the factors affecting the efficiency of BWEs as well as their interlinkages and interdependencies, based on an extensive review of scientific literature and expert intervention. The main goal is to provide a transparent and flexible model and propose a different simulation approach for complex mining systems that can interconnect the factors influencing system's behaviour. The implementation of the proposed model revealed significant differences in BWEs' efficiency under favourable and hostile conditions. This is a first step towards simulations intended to help mining practitioners, bridging the gap between 'pure' qualitative and quantitative approaches.\",\"PeriodicalId\":38622,\"journal\":{\"name\":\"International Journal of Mining and Mineral Engineering\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/ijmme.2019.104447\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mining and Mineral Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijmme.2019.104447\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mining and Mineral Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijmme.2019.104447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Exploring the effect of physical, human and technical factors on bucket wheel excavators' efficiency: a fuzzy cognitive map approach
Several parameters, e.g., characteristics of the excavated material, number and thickness of lignite layers, bucket wheel capacity, experience of personnel, etc., affect the efficiency of bucket wheel excavators (BWEs). In this paper, the fuzzy cognitive map (FCM) approach is used to explore the factors affecting the efficiency of BWEs as well as their interlinkages and interdependencies, based on an extensive review of scientific literature and expert intervention. The main goal is to provide a transparent and flexible model and propose a different simulation approach for complex mining systems that can interconnect the factors influencing system's behaviour. The implementation of the proposed model revealed significant differences in BWEs' efficiency under favourable and hostile conditions. This is a first step towards simulations intended to help mining practitioners, bridging the gap between 'pure' qualitative and quantitative approaches.