Statistička analiza izlaznih parametara procesa u visokoj peći pomoću ARIMA – kontrolnog dijagrama uz prijedlog metodologije određivanja kontrolnih granica

The paper deals with the statistical analysis of the selected parameter of the blast furnace process. It was proved that analyzed measurements have been autocorrelated. ARIMA control chart was selected for their analysis as a very useful statistical process control (SPC) method. At first the methodology for control limits setting in ARIMA control charts considering the time series outlier analysis as an integral part of the ARIMA model building was designed. Then this proposal was applied to the statistical analysis of the selected blast furnace process output parameter with the aim to compare two production methods.Rad prikazuje statističku analizu nekih parametara procesa u visokoj peći. Dokazana je autokorelacija analiziranih mjernih vrijednosti. Kao vrlo prikladna metoda statističke kontrole procesa (SKP) za analizu parametara odabran je ARIMA – kontrolni dijagram. U prvom koraku integralnog modeliranja ARIMA postupkom, definirana je metodologija uspostave kontrolnih limita u ARIMA – dijagramu obzirom na izlazne vrijednosti vremenske sekvence. Ova pretpostavka primijenjena je na statističku analizu odabranih izlaznih parametara procesa visoke peći radi usporedbe dvaju proizvodnih metoda

Statistička analiza izlaznih parametara procesa u visokoj peći pomoću ARIMA – kontrolnog dijagrama uz prijedlog metodologije određivanja kontrolnih granica

The paper deals with the statistical analysis of the selected parameter of the blast furnace process. It was proved that analyzed measurements have been autocorrelated. ARIMA control chart was selected for their analysis as a very useful statistical process control (SPC) method. At first the methodology for control limits setting in ARIMA control charts considering the time series outlier analysis as an integral part of the ARIMA model building was designed. Then this proposal was applied to the statistical analysis of the selected blast furnace process output parameter with the aim to compare two production methods.Rad prikazuje statističku analizu nekih parametara procesa u visokoj peći. Dokazana je autokorelacija analiziranih mjernih vrijednosti. Kao vrlo prikladna metoda statističke kontrole procesa (SKP) za analizu parametara odabran je ARIMA – kontrolni dijagram. U prvom koraku integralnog modeliranja ARIMA postupkom, definirana je metodologija uspostave kontrolnih limita u ARIMA – dijagramu obzirom na izlazne vrijednosti vremenske sekvence. Ova pretpostavka primijenjena je na statističku analizu odabranih izlaznih parametara procesa visoke peći radi usporedbe dvaju proizvodnih metoda

Design of methodology for application of statistical control on short run processes in metallurgy

So called short run manufacturing environment is now typical for many industrial branches including metallurgy. To be applicable in such nonstandard conditions classical control charts and capability indices must be modified. In this paper the design of the methodology for the complex application of the statistical control on the metallurgical short run processes is presented and verified in conditions of the bars rolling

Djelotvorna primjena statističke kontrole procesa (SKP) rezanja uzdužno namotanih limova na škarama

This paper deals with the effective application of SPC on the lengthwise tonsure rolled plates process on double side scissors. After explanation of the SPC fundamentals, goals and mistakes during the SPC implementation, the methodical framework for the effective SPC application is defined. In the next part of the paper the description of practical application of SPC and its analysis from the point of view of this framework is accomplished.Ovaj članak opisuje djelotvornu primjenu SKP na proces rezanja uzdužno namotanih limova na škarama s dvostrukom oštricom. Nakon objašnjenja osnova SKP, ciljeva i grešaka kod primjene SKP, metodski okvir za efektivnu primjenu SKP je defi niran. Sljedi opis praktične primjene SKP i njegove analiza sa stajališta da je opisani okvir primjene kompletan

Statistička analiza izlaznih parametara procesa u visokoj peći pomoću ARIMA – kontrolnog dijagrama uz prijedlog metodologije određivanja kontrolnih granica

The paper deals with the statistical analysis of the selected parameter of the blast furnace process. It was proved that analyzed measurements have been autocorrelated. ARIMA control chart was selected for their analysis as a very useful statistical process control (SPC) method. At first the methodology for control limits setting in ARIMA control charts considering the time series outlier analysis as an integral part of the ARIMA model building was designed. Then this proposal was applied to the statistical analysis of the selected blast furnace process output parameter with the aim to compare two production methods.Rad prikazuje statističku analizu nekih parametara procesa u visokoj peći. Dokazana je autokorelacija analiziranih mjernih vrijednosti. Kao vrlo prikladna metoda statističke kontrole procesa (SKP) za analizu parametara odabran je ARIMA – kontrolni dijagram. U prvom koraku integralnog modeliranja ARIMA postupkom, definirana je metodologija uspostave kontrolnih limita u ARIMA – dijagramu obzirom na izlazne vrijednosti vremenske sekvence. Ova pretpostavka primijenjena je na statističku analizu odabranih izlaznih parametara procesa visoke peći radi usporedbe dvaju proizvodnih metoda

Statistical analysis of the blast furnace process output parameter using arima control chart with proposed methodology of control limits setting

The paper deals with the statistical analysis of the selected parameter of the blast furnace process. It was proved that analyzed measurements have been autocorrelated. ARIMA control chart was selected for their analysis as a very useful statistical process control (SPC) method. At first the methodology for control limits setting in ARIMA control charts considering the time series outlier analysis as an integral part of the ARIMA model building was designed. Then this proposal was applied to the statistical analysis of the selected blast furnace process output parameter with the aim to compare two production methods

Design of methodology for application of statistical control on short run processes in metallurgy

So called short run manufacturing environment is now typical for many industrial branches including metallurgy. To be applicable in such nonstandard conditions classical control charts and capability indices must be modified. In this paper the design of the methodology for the complex application of the statistical control on the metallurgical short run processes is presented and verified in conditions of the bars rolling