Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues
We analyzed the economics of mobile chipping and transport of biomass from forest residues for energy purposes under uncertainty. A discrete-event simulation model was developed and utilized to quantify the impacts of controllable and environmental variables on productivity in order to de...
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Finnish Society of Forest Science
2013-01-01
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Series: | Silva Fennica |
Online Access: | https://www.silvafennica.fi/article/937 |
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doaj-5ea2b57a71934877bd94a97746cb10cd2020-11-25T02:39:03ZengFinnish Society of Forest ScienceSilva Fennica2242-40752013-01-0147510.14214/sf.937Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residuesZamora-Cristales, ReneBoston, KevinSessions, JohnMurphy, Glen We analyzed the economics of mobile chipping and transport of biomass from forest residues for energy purposes under uncertainty. A discrete-event simulation model was developed and utilized to quantify the impacts of controllable and environmental variables on productivity in order to determine the most cost effective transportation options under steep terrain conditions. Truck-chipper interactions were analyzed to show their effect on truck and chipper standing time. A costing model was developed to account for operating and standing time cost (for the chipper and trucks). The model used information from time studies of each activity in the productive cycle and spatial-temporal information obtained from geographic information system (GIS) devices, and tracking analysis of machine and truck movements. The model was validated in field operations, and proved to be accurate in providing the expected productivity. A cost distribution was elaborated to support operational decisions of forest managers, landowners and risk-averse contractors. Different scenarios were developed to illustrate the economic effects due to changes in road characteristics such as in-highway transport distance, in-forest internal road distance and pile to trailer chipper traveling distances.https://www.silvafennica.fi/article/937 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zamora-Cristales, Rene Boston, Kevin Sessions, John Murphy, Glen |
spellingShingle |
Zamora-Cristales, Rene Boston, Kevin Sessions, John Murphy, Glen Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues Silva Fennica |
author_facet |
Zamora-Cristales, Rene Boston, Kevin Sessions, John Murphy, Glen |
author_sort |
Zamora-Cristales, Rene |
title |
Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues |
title_short |
Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues |
title_full |
Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues |
title_fullStr |
Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues |
title_full_unstemmed |
Stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues |
title_sort |
stochastic simulation and optimization of mobile chipping economics in processing and transport of forest biomass from residues |
publisher |
Finnish Society of Forest Science |
series |
Silva Fennica |
issn |
2242-4075 |
publishDate |
2013-01-01 |
description |
We analyzed the economics of mobile chipping and transport of biomass from forest residues for energy purposes under uncertainty. A discrete-event simulation model was developed and utilized to quantify the impacts of controllable and environmental variables on productivity in order to determine the most cost effective transportation options under steep terrain conditions. Truck-chipper interactions were analyzed to show their effect on truck and chipper standing time. A costing model was developed to account for operating and standing time cost (for the chipper and trucks). The model used information from time studies of each activity in the productive cycle and spatial-temporal information obtained from geographic information system (GIS) devices, and tracking analysis of machine and truck movements. The model was validated in field operations, and proved to be accurate in providing the expected productivity. A cost distribution was elaborated to support operational decisions of forest managers, landowners and risk-averse contractors. Different scenarios were developed to illustrate the economic effects due to changes in road characteristics such as in-highway transport distance, in-forest internal road distance and pile to trailer chipper traveling distances. |
url |
https://www.silvafennica.fi/article/937 |
work_keys_str_mv |
AT zamoracristalesrene stochasticsimulationandoptimizationofmobilechippingeconomicsinprocessingandtransportofforestbiomassfromresidues AT bostonkevin stochasticsimulationandoptimizationofmobilechippingeconomicsinprocessingandtransportofforestbiomassfromresidues AT sessionsjohn stochasticsimulationandoptimizationofmobilechippingeconomicsinprocessingandtransportofforestbiomassfromresidues AT murphyglen stochasticsimulationandoptimizationofmobilechippingeconomicsinprocessingandtransportofforestbiomassfromresidues |
_version_ |
1724787993165692928 |