Application of SPC and Quality Tools for Process Improvement

Sousa, Sérgio; Rodrigues, Nuno F.; Nunes, Eusébio P.

doi:10.1016/j.promfg.2017.07.247

Cited by 26 publications

(19 citation statements)

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“…SPC adalah metode statistik yang banyak digunakan perusahaan untuk mengendalikan mutu produknya (Sousa et al, 2017). Metode ini banyak diterapkan pada industry manufaktur modern (Azizi, 2015); (Ramírez et al, 2015) maupun industri pedesaan (Madanhire and Mbohwa, 2016) dan bidang lainnya misalnya kesehatan (Pujar et al, 2010); (Keller et al, 2019); (Jaffray, 2020) dan industri makanan (Lim et al, 2013) serta industri lain seperti petroleum dan gas (Botev and Johnson, 2020).…”

Section: Pendahuluanunclassified

“…Penelitian ini juga menambah bukti bahwa penggunaaan SPC mampu meningkatkan kualitas pada industri khususnya industri makanan seperti yang diungkapkan oleh (Lim et al, 2013). Ke depan, mungkin SPC perlu dilakukan sebelum produksi masal dimulai seperti yang dilakukan oleh Sousa et al, (2017). SPC tipe original seperti diterapkan pada panelitian ini, perlu juga dibandingkan dengan menggunakan SPC pengembangan seperti multivariate SPC (Teixeira et al, 2019).…”

Section: Peta Kendali Setelah Implementasi Usulanunclassified

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Upaya mengatasi cacat produksi botol kemasan air 600 ml dengan metode Statistical Process Control

et al. 2020

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Section: Pendahuluanunclassified

Section: Peta Kendali Setelah Implementasi Usulanunclassified

Upaya mengatasi cacat produksi botol kemasan air 600 ml dengan metode Statistical Process Control

et al. 2020

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“…No process is carried out under ideal conditions, not disturbed by any factors. It will never be possible to produce two products with identical parameters -proving this thesis is only a matter of adopting the appropriate accuracy of measurements using a continuous measuring scale [1]. Two types of variation affect each process: random -natural, embedded in the process, the so-called "noise" and special variation -determinate, acting on the process from outside, so-called "signal" [2].…”

Section: Introductionmentioning

confidence: 99%

Managing and Improving the Drilling Process of Woodwork Furniture with the Use of SPC Tools

Knop¹

2021

Manufacturing Technology

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The article deals with the use of SPC tools to manage and improve the machining processdrilling furniture elements. The content of the article is to use such SPC tools as basic statistical parameters, box plot, histogram, classic and special control charts, and process capability indicators to assess the drill-ing process and to indicate areas to improve. The article indicates the power of SPC tools in woodwork furniture process control and power of using the Statistica program from TIBCO Software Inc. in this area. SPC tools bring a lot of important and useful information about the analyzed drilling process, its weaknesses, which contributes to the improvement of the process. The conducted study has been shown that the tested drilling process requires improvements, in particular in the area related to the machine and man. The activities that should be implemented to improve the quality of the process were defined, including implementation of the Poka-Yoke system, development of a maintenance inspection schedule, a visual manual for machine setup, employee training with a verification exam, introduction of an employee's suggestion system, modification of the company's motivation system. SPC tools helped to identify the source of process problems, defined a process's stability and capability to meet a customer requirement, and assist with other insights, that were used to define improvement action.

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“…In recent years, the statistical process control (SPC) method for monitoring production and operation processes has been extensively investigated with the goal of improving product quality 12 – 14 . The SPC method is based on a hybridization of statistics and engineering, comprehensively considering the processes of change in state space and time dimensions.…”

Section: Introductionmentioning

confidence: 99%

Fault detection in switching process of a substation using the SARIMA–SPC model

Fan

Wei

et al. 2020

Sci Rep

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to detect substation faults for timely repair, this paper proposes a fault detection method that is based on the time series model and the statistical process control method to analyze the regulation and characteristics of the behavior in the switching process. As the first time, this paper proposes a fault detection model using SARIMA, statistical process control (SPC) methods, and 3σ criterion to analyze the characteristics in substation's switching process. the employed approaches are both very common tools in the statistics field, however, via effectively combining them with industrial process fault diagnosis, these common statistical tolls play excellent role to achieve rich technical contributions. Finally, for different fault samples, the proposed method improves the rate of detection by at least 9% (and up to 15%) than other methods.

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Application of SPC and Quality Tools for Process Improvement

Cited by 26 publications

References 1 publication

Upaya mengatasi cacat produksi botol kemasan air 600 ml dengan metode Statistical Process Control

Upaya mengatasi cacat produksi botol kemasan air 600 ml dengan metode Statistical Process Control

Managing and Improving the Drilling Process of Woodwork Furniture with the Use of SPC Tools

Fault detection in switching process of a substation using the SARIMA–SPC model

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