{"title":"通过实时重新规划减少经济风险","authors":"S. Lobov","doi":"10.15550/ASJ.2015.01.114","DOIUrl":null,"url":null,"abstract":"Risks in procurement of material resources and production at Ore Mining and Processing Enterprises (OMPE) are considered. It is established that economic risks can be reduced by replanning in realtime. Methodological approaches to determining the economic effect of automated information systems (AIS) from replanning of procurement taking into aprobability of nondelivery are proposed. Se t losses from risks of accidents and unplanned outages of machinery and equipment, risks of not identifying the performance of machines and equipment, risks of not identifying quality raw material, risks of fluctuations in the volume of production at previous stages, risks of unplanned urgent orders, etc. Management solutions to reduce these risks are developed. It is proved that in terms of capacity constraints any delay replan ning and determining backup machines and equipment leads to losses from the reduction in production volumes in subsequent stages.","PeriodicalId":403624,"journal":{"name":"The Advanced Science Journal","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"REDUCTION OF ECONOMIC RISK BY RE-PLANNING IN REAL-TIME\",\"authors\":\"S. Lobov\",\"doi\":\"10.15550/ASJ.2015.01.114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Risks in procurement of material resources and production at Ore Mining and Processing Enterprises (OMPE) are considered. It is established that economic risks can be reduced by replanning in realtime. Methodological approaches to determining the economic effect of automated information systems (AIS) from replanning of procurement taking into aprobability of nondelivery are proposed. Se t losses from risks of accidents and unplanned outages of machinery and equipment, risks of not identifying the performance of machines and equipment, risks of not identifying quality raw material, risks of fluctuations in the volume of production at previous stages, risks of unplanned urgent orders, etc. Management solutions to reduce these risks are developed. It is proved that in terms of capacity constraints any delay replan ning and determining backup machines and equipment leads to losses from the reduction in production volumes in subsequent stages.\",\"PeriodicalId\":403624,\"journal\":{\"name\":\"The Advanced Science Journal\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Advanced Science Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15550/ASJ.2015.01.114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Advanced Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15550/ASJ.2015.01.114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
REDUCTION OF ECONOMIC RISK BY RE-PLANNING IN REAL-TIME
Risks in procurement of material resources and production at Ore Mining and Processing Enterprises (OMPE) are considered. It is established that economic risks can be reduced by replanning in realtime. Methodological approaches to determining the economic effect of automated information systems (AIS) from replanning of procurement taking into aprobability of nondelivery are proposed. Se t losses from risks of accidents and unplanned outages of machinery and equipment, risks of not identifying the performance of machines and equipment, risks of not identifying quality raw material, risks of fluctuations in the volume of production at previous stages, risks of unplanned urgent orders, etc. Management solutions to reduce these risks are developed. It is proved that in terms of capacity constraints any delay replan ning and determining backup machines and equipment leads to losses from the reduction in production volumes in subsequent stages.