Optimization system for workforce allocation for the ship hull section assembly process

• Autorzy: Skibińska Klaudia

Identyfikatory

DOI

10.17402/635

• Języki publikacji: EN

Abstrakty

EN

This article presents a decision-support system developed for optimizing workforce allocation within production processes, specifically addressing the challenge of assigning employees to individual workstations during the assembly of ship hull sections. The proposed methodology integrates discrete-event computer simulation and evolutionary optimization techniques to accommodate the inherent complexity and stochastic nature of the analyzed manufacturing tasks. The objective is to assess the effectiveness of the proposed optimization system in determining optimal workforce allocation to workstations within stochastic production models

Słowa kluczowe

EN

computer simulation; production process management; workstation allocation; probabilistic modeling; genetic algorithms; shipbuilding

• Wydawca: Wydawnictwo Naukowe Politechniki Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Politechniki Morskiej w Szczecinie
• Rocznik: 2025
• Tom: nr 81 (153)
• Strony: 95--103
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Skibińska Klaudia

• Maritime University of Szczecin, Faculty of Economics and Transport Engineering 11 H. Pobożnego St., 70-507 Szczecin, Poland

• https://orcid.org/0009-0007-1115-6974

Bibliografia

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• 2. Derkinderen, V., Bekker, J. & Smet, P. (2023) Optimizing workforce allocation under uncertain activity duration. Computers & Industrial Engineering 179, 109228, doi: 10.1016/j.cie.2023.109228.
• 3. Gronalt, M. & Hartl, R. (2003) Workforce planning and allocation for mid-volume truck manufacturing: A case study. Internation Journal of Production Research 41 (3), pp. 449‒463, doi: 10.1080/00207540210162974.
• 4. Gu, H., Lam, H.C. & Zinder, Y. (2022) A hybrid genetic algorithm for scheduling jobs sharing multiple resources under uncertainty. EURO Journal on Computational Optimization 10, 100050, doi: 10.1016/j.ejco.2022.100050.
• 5. Iwańkowicz, R. (2016) An efficient evolutionary method of assembly sequence planning for the shipbuilding industry. Assembly Automation 36 (1), pp. 60–71, doi: 10.1108/ AA-02-2015-013.
• 6. Kuhl, M.E., Ivy, J.S., Lada, E.K., Steiger, N.M., Wagner, M.A. & Wilson, J.R. (2009) Introduction to modeling and generating probabilistic input processes for simulation. Proceedings of the 2009 Winter Simulation Conference (WCS 2009), 13‒16 December 2009, Austin, Texas, USA, pp. 184‒202.
• 7. Kuhl, M.E., Lada, E.K., Wagner, M.A., Ivy, J., Steiger, N.M. & Wilson, J.R. (2010) Univariate input models for stochastic simulation. Journal of Simulation 4 (2), pp. 81‒97, doi: 10.1057/jos.2009.31.
• 8. Mandal, N.R. (2017) Ship Construction and Welding. Springer.
• 9. Miao, B., Deng, Q., Zhang, L., Huo, Z. & Han, W. (2023) Joint scheduling of spare parts production and service engineers based on progressive Pareto algorithm. International Journal of Production Research 62 (6), pp. 2124–2141, doi: 10.1080/00207543.2023.2217280.
• 10. Mourtzis, D., Doukas, M. & Bernidaki, D. (2014) Simulation in manufacturing: Review and challenges. Procedia CIRP 25, pp. 213‒229, doi: 10.1016/j.procir.2014.10.032.
• 11. Ruediger, P. & Hagen, H. (2017) Dealing with uncertainties in manufacturing process simulations. Applied Mechanics and Materials 869, pp. 226‒233, doi: 10.4028/www. scientific.net/AMM.869.226.
• 12. Skibińska, K. & Iwańkowicz, R. (2024) Optimization system for workforce allocation in production processes. Management and Quality ‒ Zarządzanie i jakość 6 (3), pp. 196‒211 (in Polish).
• 13. Su, B. & Xie, N. (2019) Single workgroup scheduling problem with variable processing personnel. Central European Journal of Operations Research 28, pp. 671‒684, doi: 10.1007/s10100-019-00655-8.
• 14. Tu, J. & Zhang, L. (2023) An MDP-based method for dynamic workforce allocation in Bernoulli serial production lines. IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, pp. 1‒6, doi: 10.1109/case56687.2023.10260500.
• 15. Tuli, F.A. & Kaluvakuri, S. (2022) Implementation of ERP systems in organizational settings: enhancing operational efficiency and productivity. Asian Business Review 12 (3), doi: 10.18034/abr.v12i3.676.
• 16. Zhao, B. & Tu, Ch. (2021) Research and development of inventory management and human resource management in ERP. Wireless Communications and Mobile Computing 2021 (1), pp. 1‒12, doi: 10.1155/2021/3132062.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).