EconPapers    
Economics at your fingertips  
 

Development of Internal Control Methodology by Using Statistical Methods of Variability Assessment of Material Flow Business Processes

N.N. Khakhonova, T.A. Koltsova, L.F. Shilova and A.S. Kovalev

European Research Studies Journal, 2018, vol. XXI, issue Special1, 178-186

Abstract: Variability or instability is one of the key features of any process, including business processes of material flow internal control. Variability is a characteristic of all natural systems and technical processes. The objects which properties can be characterized via certain parameters arise at the output of any process.The article discloses the feasibility of using the statistical methods in the internal control system of business entities; in this case the focus is on the method of identifying the causes of variability using control charts of various types (Shewhart control charts) as a prime tool.The view points regarding variability of famous academic economists who researched the business process management issues are also considered. Authors’ classification of business process variation on types of material flow internal control with the allocation of controlled and uncontrolled variation is taken as the basis of the proposed application.The method of using control charts in estimating the efficiency of material flow internal control business processes is described in detail.

Keywords: Internal control; business process; cycle; variability; control charts; classification of variations; product quality; monitoring JEL Classification Codes: M10; M40.Read the Full Version here (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.ersj.eu/dmdocuments/18.KHAKHONOVA_XXI_S1_18.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ers:journl:v:xxi:y:2018:i:special1:p:178-186

Access Statistics for this article

More articles in European Research Studies Journal from European Research Studies Journal
Bibliographic data for series maintained by Marios Agiomavritis ().

 
Page updated 2025-03-19
Handle: RePEc:ers:journl:v:xxi:y:2018:i:special1:p:178-186