The impact of Value Engineering on the Quality Management of Engineering Laboratories

• Published in: Letters in high energy physics 2024-02, Vol.2024 (1)
• Main Author: Elaf Dheyaa Abdulridha AL-Zubaidi, Zaid Ali Kadhim AlZaidi
• Format: Article
• Language: English
• Subjects: Engineering Value(VE), Quality factor, job performance factor (JPF), cost factor, quality of management service factor, engineering laboratories
• ISSN: 2632-2714

Currently, Value Engineering (VE) has become one of the important and necessary matters to ensure the fair distribution of resources without waste or extravagance. It is an analytical study with a specific method conducted by a multidisciplinary team on the product, service, or project to identify and classify the functions performed to achieve those required functions in a better way at a lower cost, or both, through innovative alternatives without compromising the essentials. The aim of this study to assess the impact of applying (VE)dimensions (quality, cost, job performance(JPF)) on quality management of engineering laboratories at the College of Engineering. quantitative and qualitative methodologies were used for collecting the data. A questionnaire was created based on the literature studies and structured interviews, Where (77) questionnaires were analyzed, the study reached several conclusions, which are the quality management of service has a good correlation with factors of Value Engineering, the high one with quality standard that means a requirement of the owner  (0.526), as well as continuously improving functional performance with correlation (0.342), reducing costs, and encouraging proposals that enhance the quality management of engineering laboratories. Based on applying value ANOVA result that the regression is significant with value equals 0.001, that could be taken into consideration as an indicator of a Statistically Significant Relationship between Value Engineering and quality management of service of engineering laboratories, the result shows that the regression is significant with value equals to 0.038 that is less than 0.05 which could be taken in consideration as an indicator of a Statistically important Relationship between the JPF with quality management of service factor This indicates the effective role of Value Engineering in enhancing service quality. Therefore, it is clear that prioritizing Engineering standards have a positive effect on the quality management of the engineering industry