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Robust Scheduling of Waste Wood Processing Plants with Uncertain Delivery Sources and Quality

Author

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  • Balázs Dávid

    (InnoRenew CoE, 6310 Izola, Slovenia
    Department of Information Sciences and Technologies, University of Primorska, 6000 Koper, Slovenia)

  • Olivér Ősz

    (Department of Information Technology, Széchenyi István University, Széchenyi István University, 9026 Győr, Hungary)

  • Máté Hegyháti

    (Department of Information Technology, Széchenyi István University, Széchenyi István University, 9026 Győr, Hungary
    Institute of Informatics and Mathematics, University of Sopron, 9400 Sopron, Hungary)

Abstract

While the study of reverse wood value chains has become an important topic recently, optimization-focused studies usually consider network-level problems and decisions, and do not address the individual processes in the network. In the case of waste wood, one such important process is the scheduling of the various machines in a waste wood processing facility to treat incoming wood deliveries with multiple sources and varying quality. This paper proposes a robust multi-objective mixed-integer linear programming model for the optimization of this process that considers the uncertain origins and compositions of the incoming deliveries, while aiming to minimize both lateness and energy consumption. An exhaustive study is performed on instance sets of different sizes and structures to show the efficiency and the limits of the proposed model both in single- and multi-objective cases.

Suggested Citation

  • Balázs Dávid & Olivér Ősz & Máté Hegyháti, 2021. "Robust Scheduling of Waste Wood Processing Plants with Uncertain Delivery Sources and Quality," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5007-:d:546281
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    References listed on IDEAS

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    1. Salema, Maria Isabel Gomes & Barbosa-Povoa, Ana Paula & Novais, Augusto Q., 2007. "An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1063-1077, June.
    2. Troncoso, Juan J. & Garrido, Rodrigo A., 2005. "Forestry production and logistics planning: an analysis using mixed-integer programming," Forest Policy and Economics, Elsevier, vol. 7(4), pages 625-633, May.
    3. Nima Kazemi & Nikunja Mohan Modak & Kannan Govindan, 2019. "A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4937-4960, August.
    4. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    5. Andrzej Greinert & Maria Mrówczyńska & Wojciech Szefner, 2019. "The Use of Waste Biomass from the Wood Industry and Municipal Sources for Energy Production," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
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    Cited by:

    1. Olivér Ősz & Balázs Dávid & Máté Hegyháti, 2023. "Comparison of discrete- and continuous-time models for scheduling waste wood processing facilities," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(3), pages 853-871, September.

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