- Tytuł:
- Analysis of the impact of effective time management on workstation efficiency using a multi-criteria optimization approach
- Autorzy:
- Krynke, Marek
- Powiązania:
- https://bibliotekanauki.pl/articles/27315561.pdf
- Data publikacji:
- 2023
- Wydawca:
- STE GROUP
- Tematy:
-
process management
simulation
FlexSim
optimization - Opis:
- The aim of the article is to analyze the impact of effective time management on the performance of workstations in the context of the conflict between maximizing workstation utilization and minimizing the number of items waiting in the queue. The article utilized the FlexSim program to build a simulation model of the workstation and conducted optimization using the built-in optimizer. The research demonstrated that effective time management has a positive impact on workstation performance by reducing the number of items waiting in the queue, leading to increased throughput and reduced delays in production processes. An important aspect of the analysis was the application of a multi-criteria optimization approach, which allowed for achieving a balance between maximizing workstation utilization and minimizing the number of items waiting. Multi-criteria optimization considers diverse goals and decision criteria, leading to a more comprehensive approach to optimizing production processes. As a result, effective time management on workstations, based on analysis and multi-criteria optimization, can significantly improve the efficiency and performance of production processes. This analysis can be a valuable tool for organizations seeking to optimize their processes and achieve a competitive advantage in the market. The analysis conducted in the article confirms that effective time management has a beneficial impact on workstation performance. The use of a multi-criteria approach in optimization enables achieving a balance between various decision factors. The presented simulation model and research results can be useful for decision-makers in the manufacturing field who aim to make more informed decisions regarding planning and optimizing production processes to enhance efficiency, effectiveness, and customer satisfaction.
- Źródło:
-
Management Systems in Production Engineering; 2023, 3 (31); 306--311
2299-0461 - Pojawia się w:
- Management Systems in Production Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł