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Title:The influence of artificial intelligence technology judicial decision reasoning on contract performance in manufacturing supply chain: a simulation analysis using Evolutionary Game approach
Authors:ID Zhao, G. (Author)
ID Shi, H. B. (Author)
ID Wang, J. F. (Author)
Files:.pdf APEM17-1_108-120.pdf (1,01 MB)
MD5: D662AA497DEC8108EDCB90141D3E1B6E
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Today's world revolves around technology, which has a total impact not only on human life but also on manufacturing companies. Many companies have embraced artificial intelligence (AI) in the form of powerful computers, applications, or software that can screen job applicants, alert when a machine is about to break down, and read legal contracts. However, the rapid expansion of AI and its use in legal settings, such as contract performance, in a company is a major challenge on the judicial side. This article, thus, establishes an evolutionary game model of whether manufacturing suppliers are performing contracts or not when the court chooses to use artificial intelligence (AI) technology. Considering the complexity of choosing manufacturers' AI strategy, the method constructs a simulation analysis model of manufacturers' contract enforcement behaviour with the participation of several subjects. We can simulate the influence of the factors selected on the strategy chosen by both parties (manufacturers and court) by changing the different influence factors and studying the evolutionary law of different court guidance and regulation strategies on the production behaviour of green products. The results show that the choice of the court and manufacturers to use the AI technology strategy or not is based on the rate of error reduction, through the computational implementation of multi-subject modelling.
Keywords:evolutionary game, artificial intelligence, manufacturing, manufacturers, supply chain, contract performance, court, modelling, evolutionary stabilization strategy
Publication status:Published
Publication version:Version of Record
Submitted for review:01.10.2021
Article acceptance date:15.03.2022
Publication date:29.04.2022
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
Year of publishing:2022
Number of pages:str. 108-120
Numbering:Vol. 17, no. 1
PID:20.500.12556/DKUM-97193 New window
UDC:658.5
ISSN on article:1854-6250
COBISS.SI-ID:269113091 New window
DOI:10.14743/apem2022.1.424 New window
Copyright:Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation, and DOI.
Publication date in DKUM:23.02.2026
Views:145
Downloads:1
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Categories:Misc.
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Record is a part of a journal

Title:Advances in production engineering & management
Shortened title:Adv produc engineer manag
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:evolucijske igre, umetna inteligenca, proizvodnja, modeliranje


Collection

This document is a part of these collections:
  1. Advances in production engineering & management

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