Analysing the effect of five operational factors on forest residue supply chain costs: A case study in Western Australia

Ghaffariyan, Mohammad Reza; Acuña, Mauricio; Brown, Mark

doi:10.1016/j.biombioe.2013.08.029

Cited by 49 publications

(37 citation statements)

References 9 publications

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“…Ghaffariyan et al [27] and Acuna et al [28] used a similar approach to study the effects of operational factors within forest residue supply chains. Moreover, An and Searcy [29] employed discreteevent simulation (DES) to analyze new concepts in biomass logistics and to evaluate several factors linked to design and performance.…”

Section: Introductionmentioning

confidence: 99%

Effects of Supply Chain Strategy on Stump Fuel Cost: A Simulation Approach

Eriksson

Eliasson

Hansson

et al. 2014

International Journal of Forestry Research

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In Sweden, stump fuel extraction for energy purposes is not a well-established practice and this major resource is currently left in the forest. The stump fuel supply chain is both challenging and complex, due to distance between resource and end user, material bulkiness, and the number of subprocesses involved. This study examined the impact of different aspects such as site characteristics, fuel quality, biomass losses, and machine performance on fuel cost. Two systems, including transport of comminuted and uncomminuted fuel, were studied. Discrete-event simulation was used to model systems and to analyse the dynamics of the supply chain and its various components. For a distance of 10 km, transportation of uncomminuted fuel gave the lowest costs. For distances from 30 to 70 km, site size (odt) determined whether to comminute or not before transport. For longer distances, comminution before transport proved to be necessary. Well-planned stump storage was shown to reduce the delivery costs significantly, while high moisture content (>45%) had detrimental effects on system costs per unit energy delivered. However, the most influential parameters were productivity level and site characteristics (distance and site size).

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Section: Introductionmentioning

confidence: 99%

Effects of Supply Chain Strategy on Stump Fuel Cost: A Simulation Approach

Eriksson

Eliasson

Hansson

et al. 2014

International Journal of Forestry Research

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“…The set of first-level factors is B= {B1, B2, B3}, and the set of secondary indicators is C= {C1, C2, C3… Cm} where m is the number of secondary indicators. Furthermore, the first-level and secondary weights are calculated by the 1-9 scale method [8]. The key factor influencing the selection of oily cuttings processing technologies is the environmental factors, and the emission policy is also a basic factor in environmental factors.…”

Section: The Establishment Of Evaluation Index Systemmentioning

confidence: 99%

The evaluation system of oily drill cuttings treatment technologies based on the fuzzy evaluation method

Huang

Quan³

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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“…They also coordinate between the suppliers and demanders by considering shortage penalty and storage cost. Ghaffariyan et al (2013) in their model by considering five operational factors such as energy demand, moisture mass fraction, interest rate, transport distance, and truck payload, minimized the costs. The supply chain model is formed of the levels of extraction feedstock from harvesting sites, storage at roadside, chipping the materials, and transportation the chips to plants.…”

Section: Lp Modelsmentioning

confidence: 99%