Operator performance evaluation using multi criteria decision making methods

Rani, Ruzanita Mat; Ismail, Wan Rosmanira; Razali, Siti Fatihah

doi:10.1063/1.4882540

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…This process is very important to the industry because it helps make sure that goods are always of high quality and are made in a safe and fast way. The evaluation of OP is a crucial process that can yield useful insights into potential areas for improvement [5]. This feedback can be leveraged to identify opportunities for enhancing operator skills or optimising production processes through measures such as supplementary training or equipment upgrades.…”

Section: Resultsmentioning

confidence: 99%

Enhancing Performance Evaluation Through Augmented Reality Smart Glasses for Industrial Operators

Sarhan,

Cherepati,

Okereke

et al. 2023

Advances in Transdisciplinary Engineering

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Monitoring operator compliance with work instructions is critical to ensuring that product quality is maintained, safety requirements are fulfilled, rules are followed, efficiency is enhanced, and suitable training is provided. Various industries employ different tools to manage operator performance, such as Standard Operating Procedures, Checklists, Performance metrics, Audits or Inspections. Due to the requirements for infrastructure, manpower, training, maintenance, integration, and privacy issues, the process of monitoring operators’ performance can be costly for industry. On the other hand, the advantages of a well-designed monitoring system can offset these cost expenses by increasing productivity, quality, and safety, resulting in long-term cost savings and better competitiveness. This paper reports a research project that transferred Hololens 2 with Microsoft Dynamics Guide to a tool that simultaneously guides and monitors operators’ real-time performance. The new technology can assist industry in identifying areas where operators may require more training or support and optimising workflow to increase overall efficiency. Furthermore, the data gathered by this technology may be utilised to enhance future trainings and modify ongoing production processes.

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Section: Resultsmentioning

confidence: 99%