2022
DOI: 10.3390/pr10061180
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A Capability Maturity Model for Intelligent Manufacturing in Chair Industry Enterprises

Abstract: Intelligent manufacturing has a strong role in promoting the transformation and upgrading of traditional industries such as the chair industry. This study aimed to accurately evaluate the production status and technical level of chair industry enterprises, and then better guide chair industry enterprises to gradually implement intelligent manufacturing. Based on the analytic network process (ANP), we propose four capability domains, nine capability sub-domains, and 21 evaluation elements, thereby constructing … Show more

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Cited by 5 publications
(2 citation statements)
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“…Thus, it is important to choose a suitable intelligent manufacturing model. However, the existing literature focuses more on the technology development [4,5], evaluation model [6,7] and the application of intelligent manufacturing model [8,9], and few literatures study how a customer choose to a suitable intelligent manufacturing model.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is important to choose a suitable intelligent manufacturing model. However, the existing literature focuses more on the technology development [4,5], evaluation model [6,7] and the application of intelligent manufacturing model [8,9], and few literatures study how a customer choose to a suitable intelligent manufacturing model.…”
Section: Introductionmentioning
confidence: 99%
“…A cloud-assisted and edge-decision-making manufacturing architecture with production edges was introduced by Tang et al [ 44 ]. Meanwhile, machine learning [ 45 ], the compound dual innovation capability model [ 46 ], the capability maturity model [ 47 ], the information model of a lithium ion battery intelligent manufacturing workshop [ 48 ], the neural network [ 49 ], the predictive maintenance method [ 50 ], and the multichain and data-chain partitioning algorithm [ 51 , 52 , 53 ] have also been studied to improve the intelligent methods in intelligent manufacturing.…”
Section: Introductionmentioning
confidence: 99%