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A demand scenario based fuelwood supply chain: A conceptual model

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  • Arabatzis, Garyfallos
  • Petridis, Konstantinos
  • Galatsidas, Spyros
  • Ioannou, Konstantinos

Abstract

Fuelwood is one of the main fuels for heating in many countries. As the price of fuelwood is relative low, comparing to oil or gas, demand for fuelwood rises over the years. A supply chain is considered by different nodes that are essential for some operations concerning transportation and production. Due to the sensitive nature of the forest, which is the “production plant” in the examined supply chain, certain restrictions concerning the production and distribution of fuelwood should be taken into account. A more environment oriented production model should be developed taking into consideration the sustainable management of the forests. For this purpose a mixed integer linear programming (MILP) model is considered in modeling uncertainty for fuelwood demand. Moreover, the minimization of the overall operations cost is examined under different fuelwood demand representations using Lagrangean relaxation algorithm.

Suggested Citation

  • Arabatzis, Garyfallos & Petridis, Konstantinos & Galatsidas, Spyros & Ioannou, Konstantinos, 2013. "A demand scenario based fuelwood supply chain: A conceptual model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 687-697.
    • Handle: RePEc:eee:rensus:v:25:y:2013:i:c:p:687-697
    DOI: 10.1016/j.rser.2013.05.030
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    References listed on IDEAS

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    Cited by:

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    6. Konstantinos Ioannou & Georgios Tsantopoulos & Garyfallos Arabatzis & Zacharoula Andreopoulou & Eleni Zafeiriou, 2018. "A Spatial Decision Support System Framework for the Evaluation of Biomass Energy Production Locations: Case Study in the Regional Unit of Drama, Greece," Sustainability, MDPI, vol. 10(2), pages 1-22, February.
    7. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    8. Konstantinos Petridis & Garyfallos Arabatzis & Angelo Sifaleras, 2020. "Mathematical optimization models for fuelwood production," Annals of Operations Research, Springer, vol. 294(1), pages 59-74, November.
    9. Hosseini-Motlagh, Seyyed-Mahdi & Govindan, Kannan & Nematollahi, Mohammadreza & Jokar, Abbas, 2019. "An adjustable bi-level wholesale price contract for coordinating a supply chain under scenario-based stochastic demand," International Journal of Production Economics, Elsevier, vol. 214(C), pages 175-195.
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