Variation source identification of multistage manufacturing processes through discriminant analysis and stream of variation methodology: a case study in automotive industry

Bazdar, Aliasghar; Kazemzadeh, Reza Baradaran; Niaki, Seyed Taghi Akhavan

doi:10.7603/s40632-015-0016-5

Cited by 17 publications

(9 citation statements)

References 20 publications

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“…In order to keep the process in a sustainable stable state, several quality monitor methods have been put forward. State space model [10,11] and error stream theory [12,13] were successively proposed to analyze quality errors accumulated in multistage process. With the development of complexity for production process and the improvement of the quality monitoring technology, many researches have been focused on the intelligent quality analysis technology [14], including the quality monitor [15], capability performance analysis [16], and the change point estimation in abnormal process [17,18].…”

Section: Process Monitoring and Fluctuation Evaluationmentioning

confidence: 99%

A Multidimensional Data Flow Driven-Based Quality Fluctuation Evaluation for Manufacturing Process

Dong

2021

Mathematical Problems in Engineering

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Real-time evaluation quality fluctuation is an important way to ensure product quality in manufacturing process. This study proposes a multidimensional data flow driven-based quality fluctuation evaluation. Firstly, the multidimensional decomposition and transition mode analysis is carried out to reveal the essence of quality fluctuation. Then, the technique uses hierarchical network architecture to model the process, and quality fluctuation network is built to track fluctuation evolution trend; then, the node relative entropy measure is defined to statistically analyze the change of net-node state fluctuation. Finally, a case study is used to verify the proposed quality fluctuation evaluation approach.

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Section: Process Monitoring and Fluctuation Evaluationmentioning

confidence: 99%

A Multidimensional Data Flow Driven-Based Quality Fluctuation Evaluation for Manufacturing Process

Dong

2021

Mathematical Problems in Engineering

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“…The case company being studied operates a chocolate manufacturing plant with two distinct process: P1 and P2. However, this study focussed on P2 process, which is a multistage and continuous; making product quality a critical issue since quality characteristics are measured at the end of the process (Bazdar et al, 2015). This chocolate plant is experiencing relatively high variation in the quality of chocolate produced; the quality characteristics measured are yield value (YV ), plastic viscosity (PV ) and particle size (D90).…”

Section: Problem Descriptionan Experimental Case Study Approachmentioning

confidence: 99%

A holistic approach of quality: a case of UK chocolate manufacturing

Sibanda¹,

Ramanathan

2019

IJQRM

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Purpose This research is elucidating quality control theories to reduce variation in chocolate manufacturing process in the UK food company that will help maintain the processes stable and predictable. The purpose of this paper is to reduce defects of the output; to identify the root causes of variation; to establish and implement solutions to this variation problem; and to establish a control system to monitor and report any variation in the process. Design/methodology/approach The authors use experimental case study of a chocolate company to achieve the objective. In this paper, the authors predominantly use established theory define–measure–analyse–improve–control, customised to the case of the chocolate factory to reduce variations in production processes. Findings The results confirm that customised-traditional theoretical quality models will support manufacturing companies to maintain customer satisfaction while enhancing quality and reliability. Practical implications Implementation of customised approach reduced the rate of defect from 8 to 3.7 per cent. The implications of reduced variation are improved product quality; reprocessing elimination; and a more stable process that support sustainability and reliability in producing chocolates to meet customer needs. Social implications The authors used an experimental-based case study approach to test with one company. Testing in multiple case companies may help to generalise results. Originality/value The research study experimentally tested quality approach with a real case company and hence the findings of this study can be applied to other cases working in similar settings.

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“…Since the input variables can be normalized, normal random variables are used. The output variables are fitted to the unimodal-Beta distributions via Beta regression from the process, and the association between output and input variables is expressed in (17) and (18). We assume a precision parameter φ is large enough so that it satisfies μ yji1 ≈ y ji .…”

Section: Performance Of the Proposed Approach 41 Description Of Statimentioning

confidence: 99%

Variable selection-based SPC procedures for high-dimensional multistage processes

2019

Journal of Systems Engineering and Electronics

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Monitoring high-dimensional multistage processes becomes crucial to ensure the quality of the final product in modern industry environments. Few statistical process monitoring (SPC) approaches for monitoring and controlling quality in highdimensional multistage processes are studied. We propose a deviance residual-based multivariate exponentially weighted moving average (MEWMA) control chart with a variable selection procedure. We demonstrate that it outperforms the existing multivariate SPC charts in terms of out-of-control average run length (ARL) for the detection of process mean shift.

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Variation source identification of multistage manufacturing processes through discriminant analysis and stream of variation methodology: a case study in automotive industry

Cited by 17 publications

References 20 publications

A Multidimensional Data Flow Driven-Based Quality Fluctuation Evaluation for Manufacturing Process

A Multidimensional Data Flow Driven-Based Quality Fluctuation Evaluation for Manufacturing Process

A holistic approach of quality: a case of UK chocolate manufacturing

Variable selection-based SPC procedures for high-dimensional multistage processes

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