The Experts below are selected from a list of 36 Experts worldwide ranked by ideXlab platform
Pinar Yildiz Kumru - One of the best experts on this subject based on the ideXlab platform.
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fuzzy fmea application to improve purchasing Process in a public hospital
Applied Soft Computing, 2013Co-Authors: Mesut Kumru, Pinar Yildiz KumruAbstract:Failure mode and effects analysis (FMEA) is one of the well-known techniques of quality management that is used for continuous improvements in product or Process designs. While applying this technique, determining the risk priority numbers, which indicate the levels of risks associated with potential problems, is of prime importance for the success of application. These numbers are generally attained from past experience and engineering judgments, and this way of risk assessment sometimes leads to inaccuracies and inconsistencies during priority numbering. Fuzzy logic approach is preferable in order to remove these deficiencies in assigning the risk priority numbers. In this study, a fuzzy-based FMEA is to be applied first time to improve the purchasing Process of a public hospital. Results indicate that the application of fuzzy FMEA method can solve the problems that have arisen from conventional FMEA, and can efficiently discover the potential failure modes and effects. It can also provide the stability of Process Assurance.
Mesut Kumru - One of the best experts on this subject based on the ideXlab platform.
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fuzzy fmea application to improve purchasing Process in a public hospital
Applied Soft Computing, 2013Co-Authors: Mesut Kumru, Pinar Yildiz KumruAbstract:Failure mode and effects analysis (FMEA) is one of the well-known techniques of quality management that is used for continuous improvements in product or Process designs. While applying this technique, determining the risk priority numbers, which indicate the levels of risks associated with potential problems, is of prime importance for the success of application. These numbers are generally attained from past experience and engineering judgments, and this way of risk assessment sometimes leads to inaccuracies and inconsistencies during priority numbering. Fuzzy logic approach is preferable in order to remove these deficiencies in assigning the risk priority numbers. In this study, a fuzzy-based FMEA is to be applied first time to improve the purchasing Process of a public hospital. Results indicate that the application of fuzzy FMEA method can solve the problems that have arisen from conventional FMEA, and can efficiently discover the potential failure modes and effects. It can also provide the stability of Process Assurance.
Eklind Maria - One of the best experts on this subject based on the ideXlab platform.
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Sustainability Assurance : A qualitative study exploring the Assurance Process, team and report of sustainability Assurance
Umeå universitet Företagsekonomi, 2020Co-Authors: Al-halwachi Jafar, Eklind MariaAbstract:Sustainability Assurance is on the uprising. Nowadays, more and more companies are thinking about sustainability which resulted in a growing market for sustainability Assurance. The global reporting initiative (2013, p.6) defines sustainability Assurance as “the use of external, independent reviews of sustainability management Processes and final disclosures is intended to increase the robustness, accuracy and trustworthiness of disclosed information.”. Unlike financial auditing, sustainability Assurance ismostly unregulated and there are various guidelines and frameworks issued to help the Assurance provider. The lack of mandatory regulations has resulted in a fragmented Assurance environment where different approaches is used by different Assurance providers. This in turn has contributed to the sustainability Assurance Process being unknown. The uncertainty around sustainability Assurance affect the usersof the Assurance report, for example stakeholders’, which can find it difficult to identify, interpretand compare the results of the sustainability Assurance.The purpose of this study is to contribute to the limited knowledge on sustainability Assurance, by investigating the sustainability Assurance from both auditors’ and non-auditors’ perspectives.To assist in fulfilling the purpose, four main themes were developed; Assurance team, Assurance Process, Assurance report and the future of sustainability Assurance. To fulfill the purpose of this study, the research questions are;“What is the audit Process of sustainability reports?”“What does the sustainability Assurance team look like?”“What does the sustainability Assurance report look like?”The result in this study suggests that the Process of sustainability Assurance looks different depending on the Assurance provider. The findings also suggest that the Assurance team almost looks the same, regardless who is the Assurance provider. When it comes to the results regarding the Assurance report, it is evident that there are many ways to improve theusefulness and informativeness of the report. Furthermore, the findings of this study contribute to the limited knowledge of sustainability Assurance by thoroughly exploring the Assurance Process
Al-halwachi Jafar - One of the best experts on this subject based on the ideXlab platform.
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Sustainability Assurance : A qualitative study exploring the Assurance Process, team and report of sustainability Assurance
Umeå universitet Företagsekonomi, 2020Co-Authors: Al-halwachi Jafar, Eklind MariaAbstract:Sustainability Assurance is on the uprising. Nowadays, more and more companies are thinking about sustainability which resulted in a growing market for sustainability Assurance. The global reporting initiative (2013, p.6) defines sustainability Assurance as “the use of external, independent reviews of sustainability management Processes and final disclosures is intended to increase the robustness, accuracy and trustworthiness of disclosed information.”. Unlike financial auditing, sustainability Assurance ismostly unregulated and there are various guidelines and frameworks issued to help the Assurance provider. The lack of mandatory regulations has resulted in a fragmented Assurance environment where different approaches is used by different Assurance providers. This in turn has contributed to the sustainability Assurance Process being unknown. The uncertainty around sustainability Assurance affect the usersof the Assurance report, for example stakeholders’, which can find it difficult to identify, interpretand compare the results of the sustainability Assurance.The purpose of this study is to contribute to the limited knowledge on sustainability Assurance, by investigating the sustainability Assurance from both auditors’ and non-auditors’ perspectives.To assist in fulfilling the purpose, four main themes were developed; Assurance team, Assurance Process, Assurance report and the future of sustainability Assurance. To fulfill the purpose of this study, the research questions are;“What is the audit Process of sustainability reports?”“What does the sustainability Assurance team look like?”“What does the sustainability Assurance report look like?”The result in this study suggests that the Process of sustainability Assurance looks different depending on the Assurance provider. The findings also suggest that the Assurance team almost looks the same, regardless who is the Assurance provider. When it comes to the results regarding the Assurance report, it is evident that there are many ways to improve theusefulness and informativeness of the report. Furthermore, the findings of this study contribute to the limited knowledge of sustainability Assurance by thoroughly exploring the Assurance Process
Stephan Tremmel - One of the best experts on this subject based on the ideXlab platform.
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combining structural optimization and Process Assurance in implicit modelling for casting parts
Materials, 2021Co-Authors: Tobias Rosnitschek, Maximilian Erber, Christoph Hartmann, Wolfram Volk, Frank Rieg, Stephan TremmelAbstract:The structural optimization of manufacturable casting parts is still a challenging and time-consuming task. Today, topology optimization is followed by a manual reconstruction of the design proposal and a Process Assurance simulation to endorse the design proposal. Consequently, this Process is iteratively repeated until it reaches a satisfying compromise. This article shows a method to combine structural optimization and Process Assurance results to generate automatically structure- and Process-optimized die casting parts using implicit geometry modeling. Therefore, evaluation criteria are developed to evaluate the current design proposal and qualitatively measure the improvement of manufacturability between two iterations. For testing the proposed method, we use a cantilever beam as an example of proof. The combined iterative method is compared to manual designed parts and a direct optimization approach and evaluated for mechanical performance and manufacturability. The combination of topology optimization (TO) and Process Assurance (PA) results is automated and shows a significant enhancement to the manual reconstruction of the design proposals. Further, the improvement of manufacturability is better or equivalent to previous work in the field while using less computational effort, which emphasizes the need for suitable metamodels to significantly reduce the effort for Process Assurance and enable much shorter iteration times.