IDEAS home Printed from https://ideas.repec.org/a/aio/aucsse/v2y2020i48p121-126.html
   My bibliography  Save this article

The Impact Of The Implementation Of Ai And Rpa Type Solutions In The Area Related To Forecast And Sequencing In The Production Area Using Sap. 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)

Abstract

An overview, from a multinational company, cannot be made without a ERP (Enterprise Resource Planning) systems, this type of system has grown enormously in use in recent years, and for Romanian companies is the most used. Basically to be competitive, you need such a system. Moreover, in the pandemic context in the country and on the entire planet, the impact of the implementation of AI – Artificial Intelligence and RPA – Robotic Process Automation solutions is increasingly seen. The production areas are the most impacted. In this case study we would like to highlight a series of details regarding the implementation - an implementation project - of these solutions in the area related to Forecast and Sequencing in the production area, the main system in this manufactury being SAP. These two areas, on the production side, of a multinational company, have a key role in the elaboration of the production plans in the company. The pandemic context, this year, highlighted the need to develop a plan to purchase software that can help (here we also discuss the fact that many employees have started working from home). This led to the implementation of Software Robots, which requires hard work in modeling existing economic processes. About the meaning of such an implementation project, the risks and problems encountered will be discussed in this article.

Suggested Citation

  • Viorel - Costin Banta, 2020. "The Impact Of The Implementation Of Ai And Rpa Type Solutions In The Area Related To Forecast And Sequencing In The Production Area Using Sap. A Case Study," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(48), pages 121-126, December.
    • Handle: RePEc:aio:aucsse:v:2:y:2020:i:48:p:121-126
    as

    Download full text from publisher

    File URL: http://feaa.ucv.ro/annals/v2_2020/010.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Project implementation; RPA – Robotic Process Automation; AI – Artificial Intelligence; SAP; ERP; PP – Production 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:2:y:2020:i:48:p:121-126. 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.