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• W2030980301 abstract "In a real business process, the parameters for probability distributions are unknown or ambiguous. Therefore, conventional modeling of these systems using deterministic parameters is questionable. Fuzzy simulation enables modeling uncertainties in such systems. The objective of this study is to model and improve concurrently the performance of integrated information, business, and production process of a manufacturing system using fuzzy simulation. Here, performance is defined as customer satisfaction. The superiority of the fuzzy simulation approach over conventional models used in prior studies is discussed. The integrated fuzzy approach in this study enables evaluating customer lead times in six dimensions with uncertainties considerations. Major effects of business process reengineering and information technology are evaluated before the actual implementation. The comparison results indicate that the fuzzy model is closer to the actual system. This is the first study that presents an integrated fuzzy model for improvement of customer satisfaction in integrated information, business, and production processes with ambiguity." @default.
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• W2030980301 date "2012-12-01" @default.
• W2030980301 modified "2023-09-27" @default.
• W2030980301 title "A unique fuzzy simulation approach for concurrent improvement of customer satisfaction in integrated information and production processes with ambiguity" @default.
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• W2030980301 doi "https://doi.org/10.1177/1063293x12461641" @default.
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