Open AccessMethod of Calculation of Integrated Performance Indicators of Defense Industry Organizations
Author(s) -
С. Е. Ерошин
Publication year - 2021
Publication title -
statistika i èkonomika
Language(s) - English
Resource type - Journals
ISSN - 2500-3925
DOI - 10.21686/2500-3925-2021-6-26-34
Subject(s) - field (mathematics) , service (business) , parametric statistics , computer science , set (abstract data type) , reliability (semiconductor) , work (physics) , production (economics) , object (grammar) , engineering management , operations research , management science , business , engineering , marketing , economics , artificial intelligence , mechanical engineering , physics , mathematics , quantum mechanics , pure mathematics , macroeconomics , programming language , power (physics) , statistics
Thepurposeofthestudyistodevelopa parametric monitoring systemfordefense industry enterprises, optimizing on the principle of minimumsufficiencya set of key indicators of the activities of organizations andincreasingtheefficiencyofmanagementofresearchinstitutes,designbureaus,industrialandserviceenterprisesofthemilitary-industrialcomplex.Materialsandmethods.Themethodologicalandtheoreticalbasisofthepresentedscientificworkisa system of mathematical methods foranalyzingempiricaldataontheobjectofstudy,providingobjective,accurateandsystematicinformationontheresearchedprocesses.The reliability of scientific provisions, conclusions and practicalrecommendationsisconfirmedbytheexperienceofapplyingtheresultsofthestudyintheanalysisoftheactivitiesofenterprisesofConcernAlmaz-AnteyJSC,aswellas comparing themwiththe resultsof researchbydomesticandforeignscientistsinthefieldoforganizinga management system for high-tech companies. Author relied on actual statisticalinformationabouttheactivitiesoforganizationsofthemilitary-industrialcomplex,theresultsofresearchinthefieldofmathematicalanalysis,organizationandplanningofmachine-buildingproduction,researchofoper a tio n s ,r ankst a tistics ,prob a bilit yt h eor y,t h eor yofada pti v emanagement,economicsandenterprisemanagement.Results.A method has been developed for processing data on the activitiesofenterprisesandreducingthemtotheoptimalsetofobservedindicatorswithoutlosingawarenessofthemonitoringobject;possibilitiesofusingnon-parametricmethodsofstatisticsforanalysisofcomplexsystems,inparticular,holdingsofdefenseindustry,havebeenresearched.Conclusion.Eachenterprisehasitsownspecificitydependingonthespecifics of the production processes. There is now a significant number of different indicators that comprehensively, and often too extensively,characterizewhatishappening.Thissituationoftenmakesitdifficulttomanageproductionfacilities,sincetheactualpictureofthestateofthefacilitiesisobscuredbyanexcessofsecondaryinformation.Inthisregard,itseemsreasonabletotrytoweedoutunnecessaryindicatorsanduseonlythosethatcarrythenecessaryamountofinformationsufficientto reflect the specifics of the enterprise. The presented work theoreticallyandpracticallyprovedtheadvantagesofusingnon-parametricstatisticsinenterprisemonitoring,whichallowsreducingtemporarylossesinthedevelopmentofmanagementsolutionsandincreasingtheirefficiencyattheleveloftheparentcompaniesofdefense-industrialassociations.