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Title:An innovative framework for sustainable and centralized material procurement management based on a full-domain set theory
Authors:ID Ding, F. X. (Author)
ID Liu, S. F. (Author)
ID Li, X. W. (Author)
Files:.pdf APEM18-1_005-018.pdf (640,32 KB)
MD5: E7071AB3FED3D0D2253A6156A08172C2
 
URL https://apem-journal.org/Archives/2023/Abstract-APEM18-1_005-018.html
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:The purpose of this study is to propose a theoretical framework to solve the problem of insufficient data integrity, insufficient information circulation, and poor global data integration and linkage in the material procurement management subsystem. Based on the theory of full-domain set, this study proposes the conceptual framework, the full-domain linkage model, and the theoretical framework of centralized material procurement management. With the proposed innovative management framework, current problems such as insufficient data integrity, insufficient information circulation and data linkage in the procurement management system can be solved. This study provides reference significance for the construction of centralized material procurement management in the context of big data and offers theoretical guidance for large group enterprises to carry out centralized procurement management.
Keywords:centralized procurement, full-domain set theory, big data, intelligent procurement, smart manufacturing, analytics, artificial intelligence, cloud computing and manufacturing
Publication status:Published
Publication version:Version of Record
Submitted for review:21.10.2022
Article acceptance date:06.03.2023
Publication date:29.03.2023
Publisher:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Year of publishing:2023
Number of pages:str. 5-18
Numbering:Vol. 18, no. 1
PID:20.500.12556/DKUM-96990 New window
UDC:658.5:004.8
ISSN on article:1854-6250
COBISS.SI-ID:267804163 New window
DOI:10.14743/apem2023.1.453 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:10.02.2026
Views:163
Downloads:2
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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:veliki podatki, umetna inteligenca, računalništvo v oblaku


Collection

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

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