A demand scenario based fuelwood supply chain: A conceptual model

Garyfallos Arabatzis, Konstantinos Petridis, Spyros Galatsidas and Konstantinos Ioannou

Renewable and Sustainable Energy Reviews, 2013, vol. 25, issue C, 687-697

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.

Keywords: Supply chain; Fuelwood; Mixed integer linear programming (MILP); Lagrangean relaxation; Demand uncertainty (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S136403211300333X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:25:y:2013:i:c:p:687-697

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2013.05.030

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().