Evaluating user satisfaction with new functionalities of manufacturing execution system based on genetic alghoritm
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S.Olko_M.Krannich_Evaluating_user_satisfaction.pdf (481.6 KB)
0000-0001-5284-6284 Date
2025-10
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Politechnika Śląska
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Abstract
Purpose: The paper presents the process of evaluation user satisfaction with new functionalities of manufacturing execution system (MES) based on genetic algorithms. New MES system functionalities enabled automatic production scheduling in the event of typical production system disruptions, e.g. failure of a device or production system component. The main outcome of the project was an Integrated Optimisation System (IOS), which was tested in two manufacturing companies in Poland. The article presents an evaluation of the satisfaction of the companies that will be users of the improved system. Design/methodology/approach: An interview questionnaire was used to assess customer satisfaction, allowing for the evaluation of selected IOS functionalities. The interview was conducted after a system demonstration period in front of two users (companies X1 and X2). Findings: The overall assessment of satisfaction with IOS is positive in both companies where the demonstration was conducted. The assessments are also positive in the categories examined. Research limitations/implications: The satisfaction survey results are independent of the main effect of the project, which is to reduce the production cycle time compared to the time resulting from the previous method of scheduling. IOS was implemented by a company offering MES systems. Satisfaction surveys showed that users pay attention to other features of the system, not just minimising production cycle time. Practical implications: It should be noted that due to the short project implementation time, testing and satisfaction surveys lasted only two months. The surveys were conducted with only two customers. Further implementation work may involve testing the usability of IOS in various production environments. Originality/value: Many production optimisation systems are described in the literature. Only a small number of these examples of such systems use genetic algorithms. The main value of this article is that it presents an approach to researching customer satisfaction among system users. Institutional customer satisfaction may relate to issues unrelated to the technology used and its effects.
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Sławomir Olko, Marek Krannich, Evaluating user satisfaction with new functionalities of manufacturing execution system based on genetic alghoritm. Scientific Papers of Silesian University of Technology, Organization and Management Series, No. 230/2025, pp. 367-383. http://dx.doi.org/10.29119/1641-3466.2025.230.22