THE IMPACT OF THE AUDIT ACTIVITY, USING AI, RPA AND ML IN THE ACTIVITY OF CREATING THE DELIVERY LIST AND THE PRODUCTION PLAN IN CASE OF A PRODUCTION RANGE. A CASE STUDY

Viorel - Costin Banta, Cristian Dragos Turcan and Sabin – Alexandru Babeanu
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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
Cristian Dragos Turcan: The Bucharest University of Economic Studies, Bucharest, Romania
Sabin – Alexandru Babeanu: The University of Bucharest, Bucharest, Romania

Annals of University of Craiova - Economic Sciences Series, 2022, vol. 1, issue 50, 98-104

Abstract: The realization of this case study aims to highlight the necessary steps in a subassembly production process, to create, to audit the economic processes behind such a production development. It will also monitor the impact of new technologies on how to prepare a delivery list and a production plan for a range of products in a factory that creates subassemblies for new electric cars. This factory produces subassemblies for several types of machines, from different suppliers, the way of working being very different from the series production, ie based on a special order. The use of new technologies, in this case we will discuss about AI - Artificial Intelligence, the implication of RPA solutions - Robotic Process Automation in these processes, how these technologies have been adapted to self-learning. Most companies have begun to integrate these new technologies. In the present case study, the authors will want a presentation that will refer to the economic processes behind the final process, that of production, what impact these new technologies have had, where they have taken their place, why they had to the decision is made to implement them, what was the reason behind their adaptation, etc. Initially, we will start with the specialized literature, finding the common steps used in other implementations, then we will go through the processes that take place in the production plant, then we will see where these new technologies have been implemented and what impact they have. had on the final process, when it was put into production.

Keywords: ERP; SAP; RPA; AI; ML – Machine Learning; Project implementation; PP – Production Planning; Orders planning (search for similar items in EconPapers)
JEL-codes: C61 M15 M41 P41 (search for similar items in EconPapers)
Date: 2022
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