IDEAS home Printed from https://ideas.repec.org/a/aio/aucsse/v1y2021i49p13-18.html
   My bibliography  Save this article

Auditing Special Orders In The Automotive Production Area - The Impact Of Ai And Rpa On This Activity. A Case Study

Author

Listed:
  • Viorel - Costin Banta

    (The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Management Information Systems Department,Bucharest, Romania)

  • Sabin – Alexandru Babeanu

    (The University of Bucharest, Bucharest, Romania)

  • Cristian Dragos Turcan

    (The Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

This case study was conducted in a company that produces car subassemblies for a number of road cars, the company's headquarters being in Germany. A series of steps were audited and verified, drawing a parallel between the implementation of AI - Artificial Intelligence (for certain steps in the economic process), and whether RPA solutions - Robotic Process Automation, can help in this context. What we wanted to achieve through this article is the fact that these newly created applications can help in carrying out an activity in the production area, the elimination of errors being currently a priority. Errors for this process were initially around 46%, a fairly high percentage. After a series of process improvements were tested by adopting AI and RPA, the error rate decreased by ~ 12%. A number of other improvements could be made, their proposal being shown in the content of this scientific article. The company uses an integrated ERP system - Enterprise Resource Planning - SAP - Systems Applications and Products in Data Processing. The system is hosted in Germany, the Romanian factory being an independent customer - but with implications in the parent company. The use of the integrated system, for the area in Romania, involves the use of several modules, from financial-accounting (FI), sales and distribution (SD), material management (MM), to production planning (PP). The adoption of other solutions was imperative with the last two years in which the pandemic situation in the world required a deep involvement of what meant the automation of economic processes. A series of other economic processes will be analyzed in the future, wishing through this series of scientific articles to be able to bring a feasible point of view and the resulting data to be used by future researchers.

Suggested Citation

  • Viorel - Costin Banta & Sabin – Alexandru Babeanu & Cristian Dragos Turcan, 2021. "Auditing Special Orders In The Automotive Production Area - The Impact Of Ai And Rpa On This Activity. A Case Study," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(49), pages 13-18, August.
    • Handle: RePEc:aio:aucsse:v:1:y:2021:i:49:p:13-18
    as

    Download full text from publisher

    File URL: http://feaa.ucv.ro/annals/v1_2021/002.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    AI – Artificial Intelligence; ML – Machine Learning; Project implementation; RPA; SAP; ERP; PP – Production Planning; Orders planning;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • P41 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Planning, Coordination, and Reform

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aio:aucsse:v:1:y:2021:i:49:p:13-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anca Bandoi (email available below). General contact details of provider: https://edirc.repec.org/data/fecraro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.