THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY.
The last few years have brought into discussion a number of advantages and disadvantages in terms of implementing new AI technologies - Artificial Intelligence and RPA - Robotic Process Automation - within the economic processes that run in companies. These technologies have made a major impact in...
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Format: | Article |
Language: | English |
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Academica Brâncuşi
2022-02-01
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Series: | Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie |
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Online Access: | https://www.utgjiu.ro/revista/ec/pdf/2022-01/24_Banta2.pdf |
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author | BANȚA VIOREL-COSTIN |
author_facet | BANȚA VIOREL-COSTIN |
author_sort | BANȚA VIOREL-COSTIN |
collection | DOAJ |
description | The last few years have brought into discussion a number of advantages and disadvantages in terms of implementing
new AI technologies - Artificial Intelligence and RPA - Robotic Process Automation - within the economic processes
that run in companies. These technologies have made a major impact in shaping economic processes, which have
undergone essential transformations in their subsequent approach to the business environment. This case study will
consider a series of changes that these technologies have brought to a company eager to change certain steps in the
economic process of P2P - supply. Implementing and adapting the process in the sense of modifying it to add quota
arrangement for suppliers who have a contract with this company. The company's desire was to be able to supply itself
based on an algorithm that would allow a more precise selection of the quantities to be taken, the times to be reduced
and the purchases to be made transparent. Quota arrangement is increasingly used in companies that produce,
because the division of suppliers, on various criteria, including reminders of delivery times, quality, the possibility of
extended supply, becomes, in the current context a necessity. It is often seen that there are fewer and fewer suppliers,
the production capacity decreases from one day to the next. Most companies in our country and abroad have adopted
ERP systems precisely to be able to have a flexibility in terms of using existing connections in this possibility to use
various interconnected technologies - here considering AI, RPA and ML – Machine Learning.
|
first_indexed | 2024-04-12T09:18:10Z |
format | Article |
id | doaj.art-50a1dd12feb7460a9f1fa5bbe07c4340 |
institution | Directory Open Access Journal |
issn | 1844-7007 |
language | English |
last_indexed | 2024-04-12T09:18:10Z |
publishDate | 2022-02-01 |
publisher | Academica Brâncuşi |
record_format | Article |
series | Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie |
spelling | doaj.art-50a1dd12feb7460a9f1fa5bbe07c43402022-12-22T03:38:44ZengAcademica BrâncuşiAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie1844-70072022-02-011195200THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY.BANȚA VIOREL-COSTIN0THE BUCHAREST UNIVERSITY OF ECONOMIC STUDIESThe last few years have brought into discussion a number of advantages and disadvantages in terms of implementing new AI technologies - Artificial Intelligence and RPA - Robotic Process Automation - within the economic processes that run in companies. These technologies have made a major impact in shaping economic processes, which have undergone essential transformations in their subsequent approach to the business environment. This case study will consider a series of changes that these technologies have brought to a company eager to change certain steps in the economic process of P2P - supply. Implementing and adapting the process in the sense of modifying it to add quota arrangement for suppliers who have a contract with this company. The company's desire was to be able to supply itself based on an algorithm that would allow a more precise selection of the quantities to be taken, the times to be reduced and the purchases to be made transparent. Quota arrangement is increasingly used in companies that produce, because the division of suppliers, on various criteria, including reminders of delivery times, quality, the possibility of extended supply, becomes, in the current context a necessity. It is often seen that there are fewer and fewer suppliers, the production capacity decreases from one day to the next. Most companies in our country and abroad have adopted ERP systems precisely to be able to have a flexibility in terms of using existing connections in this possibility to use various interconnected technologies - here considering AI, RPA and ML – Machine Learning. https://www.utgjiu.ro/revista/ec/pdf/2022-01/24_Banta2.pdfaisaprpamlerprollout solutioneconomic process modelling. |
spellingShingle | BANȚA VIOREL-COSTIN THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY. Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie ai sap rpa ml erp rollout solution economic process modelling. |
title | THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY. |
title_full | THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY. |
title_fullStr | THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY. |
title_full_unstemmed | THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY. |
title_short | THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY. |
title_sort | simplification model of logical sourcing quota arrangement for a multinational company using sap ai and rpa a case study |
topic | ai sap rpa ml erp rollout solution economic process modelling. |
url | https://www.utgjiu.ro/revista/ec/pdf/2022-01/24_Banta2.pdf |
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