Quality-Based Supplier Selection Model for Products with Multiple Quality Characteristics

Chen, Kuen‐Suan; Huang, Mao Lin; Yu, Chun-Min; Chen, Hsuan‐Yu

doi:10.3390/su14148532

Cited by 4 publications

(1 citation statement)

References 52 publications

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“…According to some studies, the machinery and machine tool industry needs to improve its market competitiveness. That can increase its operational flexibility because, with the exception of some critical parts and components in which they excel, the majority of the parts and components are typically outsourced [19]. Furthermore, machinery and machine tools are typically made up of hundreds of parts.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Evaluation and Improvement Decision-Making Model for Machining Operation Performance

Chen

Tsaur

et al. 2023

Applied Sciences

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Taiwan is a major exporter and producer of machinery and machine tools in the world. There are at least hundreds of components for various machining machines. According to the concept of Taguchi loss function, when the process quality of the spare parts of machining machines is not good, the failure rate will increase after the product is sold, resulting in an increase in maintenance costs and carbon emissions. As the environment of the Internet of Things (IoT) becomes more common and mature, it is beneficial for manufacturers of machining machines to collect relevant information about process data from outsourcers, suppliers, and machining machine factories. Effective data analysis and application can help the machining machine industry move towards smart manufacturing and management, which can greatly reduce the average number of failures per unit time for all sold machines. Therefore, this paper developed a practical evaluation and improvement decision-making model for the machining operation performance to help machining machine manufacturers find out the components that often fail and improve them, so as to reduce the total loss caused by machine failures. This paper first defined the machining operation performance index for the machining machines and discussed the characteristics of this operation performance index. Subsequently, the confidence interval of the index was deduced, a fuzzy evaluation model based on this confidence interval was proposed, and decision-making rules regarding whether to make any improvement was established. The fuzzy evaluation and improvement decision-making model for the operation performance of machining machines proposed in this paper will contribute to various tool industries to boost their process quality, reduce costs, and lower carbon emissions, in order to achieve sustainable management of enterprises and the environment.

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Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Evaluation and Improvement Decision-Making Model for Machining Operation Performance

Chen

Tsaur

et al. 2023

Applied Sciences

Self Cite

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Resilience and Sustainability plants improvement through Maintenance 4.0: IoT, Digital Twin and CPS framework and implementation roadmap

Briatore,

Braggio

2024

IFAC-PapersOnLine

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Using Process Capability Indices to Develop the Execution Models of DMAIC Process

Chen

Liu

Chen

et al. 2022

Int. J. Rel. Qual. Saf. Eng.

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The method of six-sigma and the index of process capability are both commonly used tools in the industrial community. Process engineers can follow five improvement steps of the six-sigma method, including “define”, “measure”, “analyze”, “improve”, and “control” (DMAIC), aiming to improve and enhance the process quality. However, none of these five improvement steps have a clear corresponding approach. This paper considered process capability indices not only a process quality evaluation tool widely used in the industrial community but also a process quality evaluation and analysis tool adopted by internal engineers. Therefore, this paper applied the method integrating process capability indices and statistical testing to develop execution models for the five improvement steps, DMAIC, of the six-sigma method. First, this paper, based on the concept of yield, not only deduced the relationship between the required value of the process capability index for the product and the process capability index value of the individual quality characteristic but also discussed the definition of the quality level of six-sigma as well as its relationship with the process capability index. Next, according to these results, five improvement execution models of the six-sigma method were developed and served as a reference for the process engineers in the industry to promote the performance of the six-sigma project. The proposed method in this paper applied various normal processes and combined the six-sigma method and process capability indices, both of which are tools commonly used in the industrial community. It also has taken into account the advantages of theoretical contribution and industrial acceptance.

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Quality-Based Supplier Selection Model for Products with Multiple Quality Characteristics

Cited by 4 publications

References 52 publications

Fuzzy Evaluation and Improvement Decision-Making Model for Machining Operation Performance

Fuzzy Evaluation and Improvement Decision-Making Model for Machining Operation Performance

Resilience and Sustainability plants improvement through Maintenance 4.0: IoT, Digital Twin and CPS framework and implementation roadmap

Using Process Capability Indices to Develop the Execution Models of DMAIC Process

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