2023
DOI: 10.3390/app13148402
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Improving the Quality of Automotive Components through the Effective Management of Complaints in Industry 4.0

Abstract: The fundamental problems with component production in the automotive industry are the low quality of the components, the high number of failures, and the subsequent number of complaints. The quality of automotive components is a prerequisite for automated production in a SMART Factory 4.0 in the context of Industry 4.0. Managing complaints is a critical area in the automotive manufacturing industry. The primary goal of this article is to indicate the significance of a CRM system and the importance of complaint… Show more

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Cited by 7 publications
(3 citation statements)
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“…contains independent variables, key factors, endogenous indicators, and a set of methods that must be determined in advance [18]; 5.…”
Section: Defining the Term "Model" For The Studymentioning
confidence: 99%
“…contains independent variables, key factors, endogenous indicators, and a set of methods that must be determined in advance [18]; 5.…”
Section: Defining the Term "Model" For The Studymentioning
confidence: 99%
“…Part of the analysis is the determination and description of the required functions of the system, the conditions of its use, the appropriate choice of the system function representation in terms of reliability (e.g., functional block diagrams, etc. ), the construction of the system reliability model, i.e., graphical representation, and a mathematical or other description of the system structure, expressing the relationship between this structure and the properties of the system with a link to its reliability [33].…”
Section: Qualitative and Quantitative Analyses Of Reliabilitymentioning
confidence: 99%
“…The automotive industry has changed significantly in the era of Industry 4.0. Many new technologies have been implemented into production processes and products [1,2]. At the same time, electric vehicles (EV) are becoming more and more popular due to the reduction in fossil fuel combustion and greenhouse gas emissions [3].…”
Section: Introductionmentioning
confidence: 99%