Optymalizacja wielkości zapasu wyrobów budowlanych na budowie
Open Access (Artykuł w pliku PDF)
citation/cytuj: Biruk S., Jaśkowski P. Optimizing the volume of construction material inventories on construction site. Materiały Budowlane. 2025. Volume 641. Issue 01. Pages 35-41. DOI: 10.15199/33.2026.01.04
dr hab. inż. Sławomir Biruk, Politechnika Lubelska, Wydział Budownictwa i Architektury
ORCID: 0000-0003-4392-8426
dr hab. inż. Piotr Jaśkowski, Politechnika Lubelska, Wydział Budownictwa i Architektury
ORCID: 0000-0003-1661-3373
Correspondence address: Ten adres pocztowy jest chroniony przed spamowaniem. Aby go zobaczyć, konieczne jest włączenie w przeglądarce obsługi JavaScript.
DOI: 10.15199/33.2026.01.04
Scientific report / Doniesienie naukowe
Abstract. Construction projects are invariably subject to risk. The daily demand for construction materials can be modelled using random variables. This facilitates the use of computer simulation to support supply management. The aim of this paper is to present simulation model to support sizing the safety stock assuming a limited capacity of on-site storage, in order to reduce the inventory management costs of construction products delivered to the construction site.
Keywords: inventory management of construction materials; simulation model; discrete simulation; decision support; risk conditions.
Streszczenie. Przedsięwzięcia budowlane są realizowane w warunkach ryzyka. Wielkość dziennego zapotrzebowania na wyroby budowlane może być modelowana za pomocą zmiennej losowej. Umożliwia to zastosowanie metody symulacji komputerowej do wspomagania planowania dostaw. Celem artykułu jest zaprezentowanie modelu symulacyjnego, którego badanie pozwala określić wielkość zapasu bezpiecznego przy ograniczonej wielkości składowiska, w celu ograniczenia kosztów gospodarowania zapasami wyrobów dostarczanych na budowę.
Słowa kluczowe: gospodarka zapasami wyrobów budowlanych; model symulacyjny; symulacja dyskretna; wspomaganie podejmowania decyzji; warunki ryzyka.
Literature
[1] Chen P.-H, Nguyen TC. ABIM-WMS integrated decision support tool for supply chain management in construction. Automation in Construction 2019; https://doi.org/10.1016/j.autcon.2018.11.019.
[2] Vipin VP, Shabeen SR. Factors affecting material management in construction industry International Journal of Recent Technology and Engineering (IJRTE) 2019; https://doi.org/10.35940/ijrte.C6337.098319.
[3] Jaśkowski P. Model gospodarki zapasami materiałów budowlanych zużywanych nierównomiernie. Gospodarka Materiałowa & Logistyka. 2013; 15 – 19.
[4]Georgy M, Yasmina S. Using genetic algorithms in optimizing constructionmaterial delivery schedules. Construction Innovation: Information, Process, Management. 2008; https://doi. org/10.1108/14714170810846503.
[5] Son PVH, Duy NHC, Dat P.T. Optimization of Construction Material Cost through Logistics Planning Model of Dragonfly Algorithm – Particle Swarm Optimization. KSCE J CivEng. 2021; https://doi.org/10.1007/s12205-021-1427-5.
[6] Kowalik MJ, Baran J. Zastosowanie symulacji Monte Carlo do zarządzania zapasami. Logistyka. 2014; 4: 3591 – 3597.
[7] Beier F, Rutkowski K. Logistyka, Szkoła Główna Handlowa, Warszawa; 1995.
[8] Andoaga-Mejia MA, Susana Casy Téllez-Ballesteros SC, Solis-Vivanco H. Determination of an optimal inventory system, and safety factor, in a MSME, through Monte Carlo simulation. Proceedings of the 22nd International Conference on Modelling and Applied Simulation MAS 2023. 2023; https://doi. org/10.46354/i3m.2023.mas.004.
[9]OkorochaKA.Factorsaffectingeffectivematerialsmanagementinbuildingconstruction projects –Acase study of selected building sites, in Imo State, Nigeria. International Journal ofManagement Sciences and Business Research. 2013; 2(4): 50 – 59.
[10] Barros J, Cortez P, Carvalho MS. Asystematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process. Operations Research Perspectives. 2021; https://doi.org/10.1016/j.orp.2021.100192.
[11] Chen Z, Hammad AWA, Alyami M. Building construction supply chain resilience under supply and demand uncertainties. Automation in Construction. 2023; https://doi.org/10.1016/j.autcon.2023.105190.
[12] Abuizam R. Optimization of (s, S) periodic review inventory model with uncertain demand and lead time using simulation. International Journal of Management & Information Systems. 2011; https://doi. org/10.19030/ijmis. v15i1.1597.
[13]ChangY,MakatsorisH.(2001).Supplychainmodelingusingsimulation.International Journal of Simulation: Systems, Science and Technology. 2001; 2(1): 24 – 30.
[14] Hairullidzam, N, Bareduan SA. Modelling and simulation of a company inventory using Arena Software. Research Progress in Mechanical and Manufacturing Engineering. 2023; 1: 40 – 46.
[15] Baharom N, Hamzah P. Inventory optimization using simulation approach. Journalof Computing Research & Innovation.2018;https://doi.org/10.24191/jcrinn.v3i2.93.
[16] StraßerS ,Altendorfer K, Peirleitner AJ. Sensitivity Aanalysis of simulation study results on safety stock relaxation in material requirement planning. Proceedings of the 10th International Conference on Advances in System Simulation. 2018; 23 – 28.
[17] Krishnamoorthy A, Naresh K, Prabakaran N, Kannadasan R. GPSS Simulation of inventory with periodic review. IJSRD – International Journal for Scientific Research & Development. 2015; 3(03): 2321 – 0613.
[18] Neetu. Simulation and its applications in inventory control. National Workshop- -Cum-Conference on Recent Trends in Mathematics and Computing (RTMC). Proceedings published in International Journal of Computer Applications® (IJCA) 2011. 2012; 21-25. Tebaldi L, Bigliardi B, Filippelli S, Bottani. E. EOI or EOQ? Asimulation study for the inventory management of a company operating in the railway sector. ProcediaComputerScience217.2023;https://doi.org/10.1016/j.procs.2022.12.353.
[19] Persson F, Axelsson M, Edlund F, Lanshed C, LindströmA. Using simulation to determine the safety stock level for intermittent demand. Proceedings of the 2017Winter Simulation. 2017; https://doi. org/10.1109/WSC. 2017.8248089.
[20] Gonçalves JNC,M. Carvalho S, Cortez P. Operations research models and methods for safety stock determination: A review. Operations Research Perspectives. 2020; https://doi.org/10.1016/j.orp.2020.100164.
[21] Tebaldi L, Bigliardi B, Filippelli S, Bottani. E. EOI or EOQ?Asimulation study for the inventory management of a company operating in the railway sector. Procedia Computer Science 217. 2023; https://doi.org/10.1016/j. procs.2022.12.353.
[22] Maitra S. Inventory management under stochastic demand: Asimulation-optimization approach. 2024; https://doi. org/10.48550/arXiv. 2406.19425.
Received: 24.10.2025 / Artykuł wpłynął do redakcji: 24.10.2025 r.
Revised: 28.11.2025 / Otrzymano poprawiony po recenzjach: 28.11.2025 r.
Published: 26.01.2026 / Opublikowano: 26.01.2026 r.
Materiały Budowlane 01/2026, strona 35-41 (spis treści >>)


























