E. Vetrova, L. Lapochkina, A. Kharlanov, S. Doroshenko
{"title":"运营沟通和决策过程的建模:运营管理自动化研究的结果","authors":"E. Vetrova, L. Lapochkina, A. Kharlanov, S. Doroshenko","doi":"10.1145/3373722.3373770","DOIUrl":null,"url":null,"abstract":"Loss of working time significantly reduces the performance of the production system. This problem can be solved by developing a support system for operational management solutions based on automating data acquisition on the state of equipment. The article presents the results of research into the problems of operational management of an industrial enterprise resources the lines oftheir solution in organizational and content aspects.\n To a great extent this concerns first and foremost the definition of the approach to developing a conceptual model for supporting operational management decisions and, secondly, the establishment of criteria for evaluating its effectiveness. Purpose: developing a conceptual model for supporting operational management decisions in an industrial enterprise. Methodology: the theory of production organization, the theory of automated management and the methodology of enterprise architecture have been applied for building the model; criteria for evaluating the effectiveness have been worked out on the basis of efficiency management theory, fuzzy set theory, vital resources theory. Results: A conceptual three-level model of management decisions support accompanied by automated data acquisition has been formed and criteria of its efficiency have been determined. This is supposed not only to improve the promptness of relevant management decisions, but will also help to achieve a significant reduction in the loss of the equipment operating time.","PeriodicalId":243162,"journal":{"name":"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society","volume":"206 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of operational communications and decision making process: Results of a study of automation of operational management\",\"authors\":\"E. Vetrova, L. Lapochkina, A. Kharlanov, S. Doroshenko\",\"doi\":\"10.1145/3373722.3373770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Loss of working time significantly reduces the performance of the production system. This problem can be solved by developing a support system for operational management solutions based on automating data acquisition on the state of equipment. The article presents the results of research into the problems of operational management of an industrial enterprise resources the lines oftheir solution in organizational and content aspects.\\n To a great extent this concerns first and foremost the definition of the approach to developing a conceptual model for supporting operational management decisions and, secondly, the establishment of criteria for evaluating its effectiveness. Purpose: developing a conceptual model for supporting operational management decisions in an industrial enterprise. Methodology: the theory of production organization, the theory of automated management and the methodology of enterprise architecture have been applied for building the model; criteria for evaluating the effectiveness have been worked out on the basis of efficiency management theory, fuzzy set theory, vital resources theory. Results: A conceptual three-level model of management decisions support accompanied by automated data acquisition has been formed and criteria of its efficiency have been determined. This is supposed not only to improve the promptness of relevant management decisions, but will also help to achieve a significant reduction in the loss of the equipment operating time.\",\"PeriodicalId\":243162,\"journal\":{\"name\":\"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society\",\"volume\":\"206 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3373722.3373770\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3373722.3373770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of operational communications and decision making process: Results of a study of automation of operational management
Loss of working time significantly reduces the performance of the production system. This problem can be solved by developing a support system for operational management solutions based on automating data acquisition on the state of equipment. The article presents the results of research into the problems of operational management of an industrial enterprise resources the lines oftheir solution in organizational and content aspects.
To a great extent this concerns first and foremost the definition of the approach to developing a conceptual model for supporting operational management decisions and, secondly, the establishment of criteria for evaluating its effectiveness. Purpose: developing a conceptual model for supporting operational management decisions in an industrial enterprise. Methodology: the theory of production organization, the theory of automated management and the methodology of enterprise architecture have been applied for building the model; criteria for evaluating the effectiveness have been worked out on the basis of efficiency management theory, fuzzy set theory, vital resources theory. Results: A conceptual three-level model of management decisions support accompanied by automated data acquisition has been formed and criteria of its efficiency have been determined. This is supposed not only to improve the promptness of relevant management decisions, but will also help to achieve a significant reduction in the loss of the equipment operating time.