{"title":"Decision making in supervisory control of a flexible manufacturing system","authors":"Dean Alan Hettenbach, C. Mitchell, T. Govindaraj","doi":"10.1109/ICSMC.1989.71437","DOIUrl":null,"url":null,"abstract":"An evaluation is made of the decision processes of humans in a flexible manufacturing system (FMS) environment. GT-FMS, a real-time simulator of an FMS, was implemented with data from an actual FMS installation. An experiment was conducted in which humans interacted with the control system of GT-FMS at an aggregate level. The humans described each of their control actions, and their decision processes were evaluated by mapping these descriptions onto a standard model of human decision-making. The experimental results support making humans an integral part of the FMS control process, since an intricate knowledge of the system state and system sensitivity were crucial to human decision-making in GT-FMS. Humans in this experiment used detailed system status information, rather than system performance history, as the basis of their control decisions and were inconsistent in defining their goals.<<ETX>>","PeriodicalId":72691,"journal":{"name":"Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics","volume":"25 1","pages":"953-958 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"1989-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSMC.1989.71437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
An evaluation is made of the decision processes of humans in a flexible manufacturing system (FMS) environment. GT-FMS, a real-time simulator of an FMS, was implemented with data from an actual FMS installation. An experiment was conducted in which humans interacted with the control system of GT-FMS at an aggregate level. The humans described each of their control actions, and their decision processes were evaluated by mapping these descriptions onto a standard model of human decision-making. The experimental results support making humans an integral part of the FMS control process, since an intricate knowledge of the system state and system sensitivity were crucial to human decision-making in GT-FMS. Humans in this experiment used detailed system status information, rather than system performance history, as the basis of their control decisions and were inconsistent in defining their goals.<>
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