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2024 | 15 | nr 2 | 85-98
Tytuł artykułu

Streamlining Project Management in the Production Sector: A Case Study of Industrial Engineering

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The objective of the research is to pinpoint issues in project management, as this is crucial for the development of a successful project. There is a need to expand the existing knowledge in project management, as it contributes to enhancing a company's project management system. Additionally, the study presents effective remedies for project management challenges. Initially, we introduce the specific project, followed by an examination of the current state of production processes. In this context, we endeavour to propose solutions. The concluding section focuses on evaluating these solutions, summarizing the study, and achieving the study's objective. These outcomes contribute to cost savings and ensure maximum customer satisfaction(original abstract)
Rocznik
Tom
15
Numer
Strony
85-98
Opis fizyczny
Twórcy
autor
  • University of Zilina
  • University of Bielsko-Biala
  • University of Bielsko-Biala, University of Zilina
Bibliografia
  • Bestvinova, V., Praj, F., Cambal, M. (2022). Identification of Sustainability Risks and Risks and their Quantification in the Conditions of Small and Medium-Sized Industrial Enterprises. MM Science Journal, 2022, pp. 6086-6090. DOI: 10.17973/MMSJ.2022_11_2022137.
  • Grznar P., Burganova N., Mozol S., Mozolova L. (2023). A Comprehensive Digital Model Approach for Adaptive Manufacturing Systems. Applied Sciences (Switzerland), 13(19). DOI: 10.3390/app131910706.
  • Hansen Z.N.L., Haug A., Afandi S., Hvam L. (2021). Complexity management in project organizations. Production Engineering-Research and Development, 15(3-4), 361-370. DOI: 10.1007/s11740-021-01033-7.
  • Junior Pacagnella C.A. and Da Silva R.V. (2023). 20 Years of the Agile Manifesto: A Literature Review on Agile Project Management. Management and Production Engineering Review, 14(2), 37-48. DOI: 10.24425/mper.2023.146021.
  • Krajcovic M. and Plinta D. (2012). Comprehensive approach to the inventory control system improvement. Management and Production Engineering Review, 3(3), 34-44. DOI: 10.2478/v10270-012-0022-0.
  • Krajcovic M. and Plinta D. (2014). Adaptive inventory control system for material items with continuous non-stationary demand. Management and Production Engineering Review, 5(1), 11-20. DOI: 10.2478/mper- 2014-0002.
  • Marin-Martinez F., Compuzano-Bolarin F., Canas- Sanchez H., Mula J. (2021). System dynamics model for flow time and lot sizes optimization according to Quick Response Manufacturing (QRM) strategy. Dyna, 96(1), 105-111. DOI: 10.6036/9661.
  • Micieta B., Binasova V., Marcan P., Gaso M. (2023). Interfacing the Control Systems of Enterprise-Level Process Equipment with a Robot Operating System. Electronics, 12(18), 3871. DOI: 10.3390/electronics12183871.
  • Micieta B., Staszewska J., Kovalsky M., Krajcovic M., Binasova V., Papanek L., Antoniuk I. (2021). Innovative System for Scheduling Production Using a Combination of Parametric Simulation Models. Sustainability, 13(17), 9518. DOI: 10.3390/su13179518.
  • Mitalova Z., Botko F., Litecka J., Mital D. (2022). Evaluation of Selected Parameters after Abrasive Water Jet Cutting. TEM JOURNAL- Technology, Education, Management, Informatics, 11(4), 1547-1552. DOI: 10.18421/TEM114-15.
  • Nelfiyanti and Mohamed N.M.Z.N. (2020). Quick response manufacturing and ergonomic consequences in manufacturing environment. 5 th International Conference on Mechanical Engineering Research 2019 (ICMER 2019), 788. DOI: 10.1088/1757-899X/788/1/012031.
  • Pekarcikova M., Trebuna P., Kliment M., Kral, S., Dic M. (2021). Modelling and Simulation the Value Stream Mapping - Case Study. Management and Production Engineering Review, 12(2), 107-114. DOI: 10.24425/mper.2021.137683.
  • Pekarcikova M., Trebuna P., Kliment M., Trojan J., Kopec J., Dic M., Kronova J. (2023). Case Study: Testing the Overall Efficiency of Equipment in the Production Process in TX Plant Simulation Software. Management and Production Engineering Review, 14(1), 34-42. DOI: 10.24425/mper.2023.145364.
  • Plattfaut R. (2022). On the Importance of Project Management Capabilities for Sustainable Business Process Management. Sustainability, 14(13), 7612. DOI: 10.3390/su14137612.
  • Plinta D. and Radwan K. (2023). Implementation of Technological Innovation in a Manufacturing Company. Applied Sciences (Switzerland), 13(10), 6068. DOI: 10.3390/app13106068.
  • Plura J., Vykydal D., Tosenovsky F., Klaput P. (2023). Graphical Tools for Increasing the Effectiveness of Gage Repeatability and Reproducibility Analysis. Processes, 11(1), 1. DOI: 10.3390/pr11010001.
  • Rakyta M., Bubenik P., Binasova V., Micieta B., Staffenova K. (2022). Advanced Logistics Strategy of a Company to Create Sustainable Development in the Industrial Area. Sustainability, 14(19), 12659. DOI: 10.3390/su141912659.
  • Saukko L., Aaltonen K., Haapasalo H. (2020). Interorganizational collaboration challenges and preconditions in industrial engineering projects. International Journal of Managing Projects in Business, 13(5), 999- 1023. DOI: 10.1108/IJMPB-10-2019-0250.
  • Szabo P., Mlkva M., Markova P., Samakova J., Janik S. (2023). Change of Competences in the Context of Industry 4.0 Implementation. Applied Sciences (Switzerland), 13(14), 8547. DOI: 10.3390/app13148547.
  • Trojanowska J. and Dostatni E. (2017). Application of the theory of constraints for project management. Management and Production Engineering Review, 8(3), 87-95. DOI: 10.1515/mper-2017-0031.
  • Vavrik V., Gregor M., Grznar P., Mozol S., Schickerle M., Durica L., Maschall M., Bielik T. (2020). Design of Manufacturing Lines Using the Reconfigurability Principle. Mathematics, 8(8), 1227. DOI: 10.3390/math8081227.
  • Wiecek D., Wiecek D., Kuric I. (2019). Cost Estimation Methods of Machine Elements at the Design Stage in Unit and Small Lot Production Conditions. Management Systems in Production Engineering, 27(1), 12-17. DOI: 10.1515/mspe-2019-0002.
  • Xiong GY., Helo P., Wang F., Lu W., Hu B., Xiong G. (2021). Visual Management Method Applied for R&D Project Management: A Case Study. Proceedings of the 2021 IEE 16th Conference on Industrial Electronics and Applications (ICIEA 2021), 1850-1855. DOI: 10.1109/ICIEA51954.2021.9516335.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171693645
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