Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data

The manufacturing industry has always been in the dominant position in the development of China’s national economy. The present industrial structure and development mode of the manufacturing industry are in a critical transformation period. This study aims to explore the problems in the management o...

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Autores principales: Yi Yan, Dejiang Chu
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/f08d9256270d49c689bd9b4f288a9903
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spelling oai:doaj.org-article:f08d9256270d49c689bd9b4f288a99032021-11-22T01:09:59ZEvaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data1563-514710.1155/2021/2439978https://doaj.org/article/f08d9256270d49c689bd9b4f288a99032021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2439978https://doaj.org/toc/1563-5147The manufacturing industry has always been in the dominant position in the development of China’s national economy. The present industrial structure and development mode of the manufacturing industry are in a critical transformation period. This study aims to explore the problems in the management of manufacturing enterprises in the era of big data. Supplier management is the top priority of manufacturing enterprise management. Regarding the performance appraisal of manufacturing enterprises, the management data of large manufacturing enterprises are collected by questionnaire. 226 questionnaires are issued, and 203 valid questionnaires are collected. The performance appraisal management of manufacturing enterprises is analyzed based on the analytic hierarchy process (AHP) of fuzzy multicriteria decision-making, and the evaluation system of enterprise performance management is established. The results show that the average value of the four indexes of enterprise marketing management, enterprise research and development (R&D) support, enterprise R&D achievement transformation efficiency, and enterprise production innovation is higher than 3.731, indicating that large manufacturing enterprises quite support marketing, R&D, and production innovation. This exploration can provide a theoretical basis for improving the management innovation ability of manufacturing enterprises and also has great reference value for expanding the market competitiveness of manufacturing enterprises.Yi YanDejiang ChuHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
spellingShingle Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
Yi Yan
Dejiang Chu
Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data
description The manufacturing industry has always been in the dominant position in the development of China’s national economy. The present industrial structure and development mode of the manufacturing industry are in a critical transformation period. This study aims to explore the problems in the management of manufacturing enterprises in the era of big data. Supplier management is the top priority of manufacturing enterprise management. Regarding the performance appraisal of manufacturing enterprises, the management data of large manufacturing enterprises are collected by questionnaire. 226 questionnaires are issued, and 203 valid questionnaires are collected. The performance appraisal management of manufacturing enterprises is analyzed based on the analytic hierarchy process (AHP) of fuzzy multicriteria decision-making, and the evaluation system of enterprise performance management is established. The results show that the average value of the four indexes of enterprise marketing management, enterprise research and development (R&D) support, enterprise R&D achievement transformation efficiency, and enterprise production innovation is higher than 3.731, indicating that large manufacturing enterprises quite support marketing, R&D, and production innovation. This exploration can provide a theoretical basis for improving the management innovation ability of manufacturing enterprises and also has great reference value for expanding the market competitiveness of manufacturing enterprises.
format article
author Yi Yan
Dejiang Chu
author_facet Yi Yan
Dejiang Chu
author_sort Yi Yan
title Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data
title_short Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data
title_full Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data
title_fullStr Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data
title_full_unstemmed Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data
title_sort evaluation of enterprise management innovation in manufacturing industry using fuzzy multicriteria decision-making under the background of big data
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/f08d9256270d49c689bd9b4f288a9903
work_keys_str_mv AT yiyan evaluationofenterprisemanagementinnovationinmanufacturingindustryusingfuzzymulticriteriadecisionmakingunderthebackgroundofbigdata
AT dejiangchu evaluationofenterprisemanagementinnovationinmanufacturingindustryusingfuzzymulticriteriadecisionmakingunderthebackgroundofbigdata
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