Systems, Journal Year: 2024, Volume and Issue: 12(11), P. 479 - 479

Published: Nov. 11, 2024

Human errors (HEs) are prevalent issues in manual assembly, leading to product defects and increased costs. Understanding knowing the factors influencing human assembly processes is essential for improving quality efficiency. This study aims determine rank HEs based on expert judgments. To achieve this objective, an integrated model was developed using two multi-criteria decision-making (MCDM) techniques—specifically, fuzzy Delphi Method (FDM) Analytic Hierarchy Process (FAHP). Firstly, rounds of FDM were conducted identify categorize primary contributing assembly. Expert consensus with at least 75% agreement determined that 27 influence scores 0.7 or higher significantly impact these processes. After that, priorities a third round FAHP method. Data analysis performed SPSS 22.0 evaluate reliability normality survey responses. has divided affecting into levels: level 1, called main factors, 2, sub-factors. Based final measured weights proposed estimation results revealed most influential individual factor, followed by tool factor task factor. For showed lack experience, poor instructions procedures, misunderstanding as critical errors. Sensitivity how changes inputs parameters affect decisions ensure reliable practical results. The findings provide valuable insights help organizations develop effective strategies reducing worker Identifying key root errors, research offers solid foundation enhancing overall products.

Language: Английский