| Title: | Mitigating supply chain disruptions in plywood manufacturing by deadline reordering |
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| Authors: | ID Ősz, Olivér (Author)
ID Garab, József (Author)
ID Hegyháti, Máté (Author)
ID Dávid, Balázs (Author) |
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| Files: |  RAZ_Ősz_Oliver_2026.pdf (1,52 MB)
MD5: C434EEC3E61E260981FBF0AD4A102A2D
 https://www.mdpi.com/2073-8994/18/6/910
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | IAM - Andrej Marušič Institute
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| 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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| Keywords: | plywood, scheduling, MRCPSP, MILP, genetic algorithm |
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| Publication version: | Version of Record |
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| Publication date: | 26.05.2026 |
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| Year of publishing: | 2026 |
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| Number of pages: | str. 1-40 |
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| Numbering: | Vol. 18, iss. 6, [article no.] 910 |
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| PID: | 20.500.12556/RUP-23080  |
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| UDC: | 630*83 |
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| ISSN on article: | 2073-8994 |
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| DOI: | 10.3390/sym18060910 |
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| COBISS.SI-ID: | 279952387 |
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| Publication date in RUP: | 01.06.2026 |
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| Views: | 33 |
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| Downloads: | 2 |
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