Mitigating Supply Chain Disruptions in Plywood Manufacturing by Deadline Reordering

Ősz, Olivér és Garab, József és Hegyháti, Máté és Dávid, Balázs (2026) Mitigating Supply Chain Disruptions in Plywood Manufacturing by Deadline Reordering. SYMMETRY (BASEL), 18 (6). ISSN 2073-8994

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first_pagesettingsOrder Article Reprints This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle Mitigating Supply Chain Disruptions in Plywood Manufacturing by Deadline Reordering by Olivér Ősz 1,2ORCID,József Garab 1,*ORCID,Máté Hegyháti 1,3ORCID andBalázs Dávid 4ORCID 1 Institute of Applied Sciences, University of Sopron, 9400 Sopron, Hungary 2 Department of Computer Science and Systems Technology, University of Pannonia, 8200 Veszprém, Hungary 3 Institute of Computer Science, University of Applied Sciences Wiener Neustadt, 2700 Wiener Neustadt, Austria 4 InnoRenew CoE, Andrej Marušič Institute and Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000 Koper, Slovenia * Author to whom correspondence should be addressed. Symmetry 2026, 18(6), 910; https://doi.org/10.3390/sym18060910 (registering DOI) Submission received: 27 February 2026 / Revised: 20 May 2026 / Accepted: 22 May 2026 / Published: 26 May 2026 (This article belongs to the Special Issue Meta-Heuristics for Manufacturing Systems Optimization, 3rd Edition) Downloadkeyboard_arrow_down Versions Notes Abstract Disruptions in supply networks have caused many logistical and planning challenges in the last few years. The previous predictability of the shipping times of raw materials changed drastically due to various global issues, which affected many production areas, including the wood industry. This work is motivated by a case study of a Central European plywood production facility, where supply-side disruptions caused difficulties in meeting deadlines for downstream companies of the construction and furniture industry. As a result, the objective of production planners shifted towards mitigating the financial burden caused by cancellation penalties. Three MILP (Mixed-Integer Linear Programming) models and a genetic algorithm were developed to tackle the scheduling of a plywood production plant with raw material shipments and order deadlines. The novelty of the considered problem lies in the flexibility of swapping order deadlines from the same client, which was inspired by the real-life deals of the aforementioned company. The methods were tested on 120 benchmark instances of different sizes generated from real industrial data. The genetic algorithm terminated within 60 s for all instances and found the optimal or best-known solution in 71 of 80 short-horizon instances, while also remaining efficient on larger 30-day cases. As the solution approach is not specific to plywood production, it can be applied to scheduling problems in other fields as well, where similar disruptions can develop, and the production process features are covered by the Multi-Mode Resource-Constrained Project Scheduling Problem class.

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Mű tipusa:	Cikk
SWORD Depositor:	Teszt Sword
Felhasználó:	Csaba Horváth
A mű MTMT azonosítója:	MTMT:37309748
Dátum:	17 Júl 2026 08:44
Utolsó módosítás:	17 Júl 2026 08:44
URI:	http://publicatio.uni-sopron.hu/id/eprint/4116

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