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

Viorel - Costin Banta
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Viorel - Costin Banta: The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Management Information Systems Department,Bucharest, Romania

Annals of University of Craiova - Economic Sciences Series, 2020, vol. 2, issue 48, 121-126

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.

Keywords: Project implementation; RPA – Robotic Process Automation; AI – Artificial Intelligence; SAP; ERP; PP – Production Planning (search for similar items in EconPapers)
JEL-codes: C61 M15 M41 P41 (search for similar items in EconPapers)
Date: 2020
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