Quality Control in Production Process of Product-Service System: a Method Based on Turtle Diagram and Evaluation Model

Guo, Hongfei; Zhang, Ru; Chen, Xiangyue; Zou, Zhengwei; Qu, Ting; Huang, Guoquan; Shi, Jincheng; Chen, Minshi; Gu, Hao; Lun, Yitao; Li, Jianke; He, Zhihui

doi:10.1016/j.procir.2019.04.090

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…The checklist defines essential information required to understand the knowhow demonstrated on the shop floor and the context within the company. If the company does not have a quality management system (QMS) or there is no documentation developed to execute the processes, the company can use some basic tools to describe its processes such as turtle diagram [40], SIPOC [41], Pareto chart [42], brainstorming [41], flow diagram [41,43] or process map [42]. Once all documentation is collected or developed, the content of the documentation is reviewed with the aim of identifying reported problems, opportunities for improvement, or needs detected previously, whether on the shopfloor when executing the processes or as the result of a QMS activity.…”

Section: Fig 2 Methodology For Digital Transformationmentioning

confidence: 99%

Methodology for digital transformation: a continuous improvement approach

Oliver,

Martínez-Arellano,

Segal

2023

Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023)

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Digital technologies have the potential to significantly transform the manufacturing industry by achieving improvements in productivity, quality and sustainability. Despite this, the uptake is relatively low as companies face a number of challenges in the implementation of digital technologies. There is therefore a need to support companies to develop and implement their Digital Transformation Strategy, with a clear business case. This paper proposes a methodology based on a quality improvement approach for Digital Transformation within manufacturing processes to better inform the business case. In particular, it provides an assessment and diagnostic to define a clear vision of the Digital Transformation Strategy, proposes digital solutions to start the implementation process with clear purposes and expected benefits, and measures the efficacy, efficiency and effectiveness of the digital solutions, all within a holistic perspective that should assure the sustained success of companies. To validate the methodology, preliminary results are presented of the assessment and diagnostic elements carried out in a global power solution manufacturing company. The focus areas selected were productivity, delivery performance, quality, and safety, in order to address problems and challenges reported by the company through their quality management system. Testing of usability in a real case provided useful output for company performance and valuable lessons to adjust the proposed methodology.

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Section: Fig 2 Methodology For Digital Transformationmentioning

confidence: 99%

Methodology for digital transformation: a continuous improvement approach

Oliver,

Martínez-Arellano,

Segal

2023

Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023)

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“…which includes quality analysis, maintenance models for quality improvement, predictive analysis, industrial quality control, nonconformities handling methodologies, different correlations between process steps, six sigma, and SPC tools, continuous improvement approaches, quality optimizations, and process modelling, AR methods integration, problem-solving approaches, and lean manufacturing tools. (Teli et al, 2013;Yang et al, 2021) Quality assurance (Colledani et al, 2014;Eger et al, 2018;Haefner et al, 2014;Duong et al, 2021;Alves et al, 2021;Alexandru et al, 1998;Osanna et al, 2001;Nikolay, 2016;Ransing et al, 2016;Gewohn et al, 2018;Dantan et al, 2020;Khan et al, 2021) Quality control (Durakbasa et al, 1992;Oh et al, 2019;Wu, 2004;Korytkowski et al, 2008;Colledani, 2008;Muthu et al, 2009;Hajji et al, 2012;Villeta et al, 2012;Lv et al, 2012;Jovic et al, 2013;Ordieres-Meré et al, 2013;Achcar et al, 2013;Žapčević and Butala, 2013;Chang and Lee, 2013;Liu et al, 2014;Xia et al, 2014;Dodd et al, 2015;Filho and de Oliveira, 2016;Duffuaa and El Gaaly, 2017;Konstantas et al, 2018;Wang et al, 2018;Hofmann et al, 2019;Guo et al, 2019;Gaikwad et al, 2019;Wang and Wu, 2019;…”

Section: Quality Management Overview and Tabulationmentioning

confidence: 99%

“…Hofmann et al, 2019 A combination between lean GO & See method with digitalization due to Industry 4.0 philosophy integration. Guo et al, 2019 A combined process turtle diagram with a quality control system can improve the overall activity by reducing the quality loss and improving the economic benefits. Gaikwad et al, 2019 Improvement of the issue of rejection rate in the spring support in a medical device manufacturing industry by using SPC and DMAIC (Define, Measure, Analyze, Improve, Control) approach.…”

Section: Duffuaa and El Gaaly 2017mentioning

confidence: 99%

Quality and Risk Management in Industrial Production Systems: A Literature Review

Baltag

Morariu

2022

Bulletin of the Polytechnic Institute of Iași. Machine Constructions Section

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Nowadays quality management and specific tools can represent a challenge in SMEs (small and medium enterprises). To assure the expected quality of the products, SPC (statistical process control) combined with industry 4.0 specifics offer instantaneous responses and triggers for needed actions. Therefore, risk analyses are used as enablers for quality-oriented behaviour, and risk mitigation and identification, together with collected data, represent a comprehensive system that leads enterprises to achieve the expected performance level needed to remain competitive in the market. In addition, risk management and quality management cannot be treated without looking at the maintenance activities and policies which can have a considerable impact on those two. This paper provides a comprehensive literature review of the papers from the quality management sector and articles where risk management and maintenance are seen as facilitators for quality improvement with an impact on the performance level. The main contribution of each paper is listed in the table which simplifies the reader’s access to the work done in the field and the overview presented enables easy access to trends in this field and offers a starting point for future research by presenting the gaps.

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