Application of Ishikawa Diagram to Investigate Significant Factors Causing Rough Surface on Sand Casting

Chokkalingam, B.; Boovendravarman, S.; Tamilselvan, R.; Raja, V.K. Bupesh

doi:10.24874/pes02.04.002

Cited by 4 publications

(5 citation statements)

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“…Motivation and conditions for model development It has been observed that existing studies highlight challenges in achieving the desired level of product quality (Chokkalingam et al, 2020;Raji et al, 2018;Siekański & Borkowski, 2003;Tegegne & Shing, 2013). In order to effectively improve product quality, it is crucial to identify the root causes of incompatibility and determine appropriate improvement actions.…”

Section: The Modelmentioning

confidence: 99%

“…The literature review revealed that elementary quality management tools, particularly the Ishikawa diagram, have commonly been utilized (Pinho et al, 2021;Olejarz et al, 2022;Siwiec & Pacana, 2020;Wolniak, 2019). Various example studies (Chokkalingam et al, 2020;Gawlik 2019a;Luca & Luca, 2019;Sygut, 2017;Tegegne & Shing, 2013;Ulewicz, 2003) employed this diagram to identify potential causes of incompatibility in different contexts, such as products made from ductile iron (Ulewicz, 2003), welded pipes (Sygut, 2017), and au-tomotive wheel bearings (Luca & Luca, 2019). The Ishikawa diagram was often combined with other quality management tools, notably the Pareto-Lorenz analysis.…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of this study was to correlate wellknown techniques for improving product quality, specifically heuristic techniques (Chokkalingam et al, 2020;Chokkalingam et al, 2017;Putman & Paulus, 2008). In this research, we aimed to address the following research questions:…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy Multi-criteria Decision Model to Support Product Quality Improvement

Siwiec,

Gawlik,

Pacana

2023

Management and Production Engineering Review

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Improving product quality while making decisions remains a challenge. The objective of this research was to develop a model that supports the precise enhancement of product quality through comprehensive analysis of possibilities, product incompatibilities, root causes, and recommended improvement actions. The model incorporated various tools and methods such as the SMARTER method, expert team selection, brainstorming, Ishikawa diagram, 5M+E rule, FAHP, and FTOPSIS methods. The study demonstrated that integrating quality management tools and decision-making methods into a unified model enables the accurate prioritization of activities for product quality management. This integrated approach represents the novelty of this research. The model was evaluated using a mechanical seal made of 410 alloy. The research findings can be valuable to enterprises seeking to enhance product quality at any stage of production, particularly for modified or new products.

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Section: The Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuzzy Multi-criteria Decision Model to Support Product Quality Improvement

Siwiec,

Gawlik,

Pacana

2023

Management and Production Engineering Review

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“…Based on a review of the literature on the subject, it was shown that research was carried out on the identification and elimination of the causes of non-compliance of materials or industrial products. To date, analyses to identify the causes of the main non-conformities have often involved the use of traditional quality management techniques [ 29 , 31 , 32 , 33 ], which in some cases were supported by selected decision support techniques [ 26 , 34 ]. Furthermore, previous research was found to focus mainly on qualitative aspects (improvement of the quality of materials and industrial products), but aspects of impact on the natural environment were omitted [ 30 , 31 , 32 , 38 , 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

“…After these controls, Materials 2023, 16, 3884 2 of 29 many conduct analyses using quality management methods and tools. For example, the authors of articles [25][26][27] used the Ishikawa diagram to analyse the potential causes of materials and industrial products. The Ishikawa diagram is called a fishbone diagram (or chevron diagram).…”

Section: Introductionmentioning

confidence: 99%

A Novelty Procedure to Identify Critical Causes of Materials Incompatibility

Siwiec

Pacana

2023

Materials

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Ensuring the expected quality of materials is still a challenge, mainly in order to precisely plan improvement actions that allow for stabilization of the production process. Therefore, the purpose of this research was to develop a novel procedure to identify critical causes of material incompatibility—the causes that have the largest negative impact on material deterioration, and the natural environment. The main originality of this procedure is developing a way to coherent analyse the mutual influence of the many causes of incompatibility of any material, after which the critical causes are identified and a ranking of improvement actions to eliminate these causes is created. A novelty is also developed in the algorithm supporting this procedure, which can be realized in three different ways to solve this problem, i.e.; by considering the impact of material incompatibility on: (i) the deterioration of the material quality; (ii) the deterioration of the natural environment; and (iii) simultaneously the deterioration of the quality of the material and the natural environment. The effectiveness of this procedure was confirmed after tests on 410 alloy, from which a mechanical seal was made. However, this procedure can be useful for any material or industrial product.

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Universal Model to Support the Quality Improvement of Industrial Products

Pacana

Siwiec

2021

Materials

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Improving the quality of industrial products quality still is a challenge. Despite using quality control, there is a constant need to support this process to achieve an effective, precise, and complex analysis of product quality. The purpose was to develop a universal model that supports improving the quality of products via the consistent and repetitive determination of the causes of product incompatibilities and actions leading to their elimination; the model can be integrated with any quality control of the product. The model verification was carried out for the incompatibility of the mechanical seal in alloy 410, in which the porosity cluster was identified by the fluorescence method (FPI). The purpose of the analysis was created by the SMART(-ER) method. Then, a team of experts was selected from which the brainstorming (BM) was realized. After the BM method, the source of incompatibility and initial causes were identified. Then, the Ishikawa diagram (according to rule 5M + E) was developed to group the initial causes. Next, during the BM method, the main causes were selected. In the last stage, the 5Why method was used to determine improvement actions, i.e., adjust clotting parameters, introduce the obligation to undergo periodic training, and set aside a separate place for storing the electrodes. Originality is the combination of selected quality management tools in a coherent model, the main aim of which is to identify the main causes of incompatibility and improvement actions. Additionally, this model is universal and has applications with analyzing any product and the causes of its incompatibility, and it can be integrated with any product quality control. Therefore, the model can be useful for improving the quality of products in any enterprise.

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Application of Ishikawa Diagram to Investigate Significant Factors Causing Rough Surface on Sand Casting

Cited by 4 publications

References 0 publications

Fuzzy Multi-criteria Decision Model to Support Product Quality Improvement

Fuzzy Multi-criteria Decision Model to Support Product Quality Improvement

A Novelty Procedure to Identify Critical Causes of Materials Incompatibility

Universal Model to Support the Quality Improvement of Industrial Products

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