Smart Work – Production Tasks Management System

• Authors: Krzysztof Chojnacki , Ewa Walaszczyk , Aleksandra Markowska , Marcin Hernes , Marcin Fojcik

Title variants

PL

Smart Work – system zarządzania zadaniami produkcyjnymi

Abstracts

PL

Intensywny rozwój ERP spowodowany jest ogromną konkurencją na rynku produkcyjnym, a co za tym idzie – koniecznością optymalizacji kosztów, wydajności i czasu produkcji. Jednak problem integracji procesów biznesowych jest nadal otwarty. Jedną z głównych trudności jest monitorowanie realizacji produkcji. W wielu systemach ERP problem ten jest uwzględniany w bardzo małym stopniu. Dane z różnych podsystemów nie są w pełni zintegrowane, dlatego podejmowanie decyzji jest bardzo trudne. Głównym celem badań opisanych w artykule jest opracowanie prototypu modułu do rozliczania zadań produkcyjnych w zintegrowanym systemie klasy ERP. Przeanalizowano problem związany z modułem rozliczania zadań pracowników produkcyjnych oraz prezentacją online wydajności pracowników i stanu maszyn.

EN

The intensive development of Enterprise Resource Planning (ERP) is caused by huge competition on the production market and thus the need to optimize costs, efficiency and production time. However, the integration problem is still unresolved. One of the main problems is related to monitoring the realisation of production. In many ERP systems, this issue is very weakly performed. Data from different sub-systems are not fully integrated, therefore the process of decision-making is very difficult. The main purpose of the research described in this paper was to develop a prototype of a module for the settlement of production tasks in an integrated ERP-class system. The problems related to the module of the settlement of tasks of production workers, and online presentation of employee performance and machine condition was analysed.

Keywords

EN

Enterprise Resource Planning (ERP); production tasks management; system integration

PL

systemy klasy ERP; zarządzanie zadaniami produkcyjnymi; integracja systemów

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Informatyka Ekonomiczna
• Year: 2021
• Issue: 4
• Pages: 1-9

Dates

published

2021

Contributors

author

Krzysztof Chojnacki

author

Ewa Walaszczyk

• Wroclaw University of Economics and Business

author

Aleksandra Markowska

• Wroclaw University of Economics and Business

author

Marcin Hernes

• Wroclaw University of Economics and Business

author

Marcin Fojcik

• Western Norway University of Applied Sciences

References

• Adamczak, M., Domanski, R., Hadas, L., & Cyplik, P. (2016). The integration between production-logistics system and its task environment-chosen aspects. IFAC-PapersOnLine, 49(12), 656-661.
• De, K., Golubkov, D., Klimentov, A., Potekhin, M., & Vaniachine, A. (2014). Task management in the new ATLAS production system. Journal of Physics: Conference Series, 513(TRACK 3). https:// doi.org/10.1088/1742-6596/513/3/032078
• Gao, J., Zhong, J., Liu, G., Yang, S., Song, B., Zhang, L., & Liu, Z. (2021). A machine learning accelerated distributed task management system (Malac-Distmas) and its application in high-throughput CALPHAD computations aiming at efficient alloy design. Advanced Powder Materials. https:// doi.org/10.1016/j.apmate.2021.09.005
• Hernes, M., & Bytniewski, A. (2017). Knowledge integration in a manufacturing planning module of a cognitive integrated management information system. In N. T. Nguyen, G. A. Papadopoulos, P. Jędrzejowicz, B. Trawiński, G. Vossen (Ed.), Computational collective intelligence (9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017). Proceedings, Part I (t. 10448, pp. 34-43). http://doi.org/10.1007/978-3-319-67074-4_4
• Kerang, C., Lee, H., & Jung, H. (2017). Task management system according to changes in the situation based on IoT. Journal of Information Processing Systems, 13(6), 1459-1466. https://doi. org/10.3745/JIPS.03.0083
• Kłos, S. (2016, October). A model of an ERP-based knowledge management system for engineer-to-order enterprises. In International Conference on Information and Software Technologies (pp. 42- -52). Cham: Springer.
• Malik, S., & Kim, D. H. (2021). Improved control scheduling based on learning to prediction mechanism for efficient machine maintenance in a smart factory. Actuators, 10(2), 1-17.
• Mylnikov, L. (2021). Efficiency management of discrete production systems under the dynamics of project portfolio. Computers and Industrial Engineering. https://doi.org/10.1016/j.cie.2021.107807
• Pachamanova, D., Glover, W., Li, Z., Docktor, M., & Gujral, N. (2021). Identifying patterns in administrative tasks through structural topic modeling: A study of task definitions, prevalence, and shifts in a mental health practice's operations during the COVID-19 pandemic. Journal of the American Medical Informatics Association, 28(12), 2707-2715.
• Refanidis, I., & Alexiadis, A. (2011). Deployment and evaluation of self-planner, an automated individual task management system. Computational Intelligence, 27(1). Retrieved from http://chandlerproject.org/
• Silveira, S. A. M., Zaina, L. A. M., Sampaio, L. N., & Verdi, F. L. (2022). On the evaluation of usability design guidelines for improving network monitoring tools interfaces. Journal of Systems and Software, (111223).
• Zanella, M., Sciamanna, F., & Fornaciari, W. (2022). BarMan: A run-time management framework in the resource continuum. Sustainable Computing: Informatics and Systems, 100663.

Identifiers

DOI

10.15611/ie.2021.4.01

Biblioteka Nauki

2085485