Simulation and assessment of agricultural biomass supply chain systems

Agricultural biomass supply chain consists of a number of interacted sequential operations affected by various variables, such as weather conditions, machinery systems, and biomass features. These facts make the process of biomass supply chain as a complex system that requires computational tools, e...

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Main Authors: D. Pavlou, D. Bochtis, S. Tamvakidis, D. Aidonis
Format: Article
Language:English
Published: International Journal of Business Science and Applied Management 2017-05-01
Series:International Journal of Business Science and Applied Management
Subjects:
Online Access:http://www.business-and-management.org/download.php?file=2016/11_2--47-56-Pavlou,Orfanou,Bochtis,Tamvakidis,Aidonis.pdf
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spelling doaj-48405d58c2dc4552addeea32c949f8332021-02-02T02:05:30ZengInternational Journal of Business Science and Applied ManagementInternational Journal of Business Science and Applied Management1753-02961753-02962017-05-011124756Simulation and assessment of agricultural biomass supply chain systemsD. PavlouD. BochtisS. TamvakidisD. AidonisAgricultural biomass supply chain consists of a number of interacted sequential operations affected by various variables, such as weather conditions, machinery systems, and biomass features. These facts make the process of biomass supply chain as a complex system that requires computational tools, e.g. simulation and mathematical models, for their assessment and analysis. A biomass supply chain simulation model developed on the ExtendSim 8 simulation environment is presented in this paper. A number of sequential operations are applied in order biomass to be mowed, harvested, and transported to a biorefinery facility. Different operational scenarios regarding the travel distance between field and biorefinery facility, number of machines, and capacity of machines are analyzed showing how different parameters affect the processes within biomass supply chain in terms of time and cost. The results shown that parameters such as area of the field, travel distance, number of available machines, capacity of the machines, etc. should be taken into account in order a less time and/ or cost consuming machinery combination to be selected.http://www.business-and-management.org/download.php?file=2016/11_2--47-56-Pavlou,Orfanou,Bochtis,Tamvakidis,Aidonis.pdfagricultural biomasssupply chain managementsimulation modelagricultural machineryoperations management.
collection DOAJ
language English
format Article
sources DOAJ
author D. Pavlou
D. Bochtis
S. Tamvakidis
D. Aidonis
spellingShingle D. Pavlou
D. Bochtis
S. Tamvakidis
D. Aidonis
Simulation and assessment of agricultural biomass supply chain systems
International Journal of Business Science and Applied Management
agricultural biomass
supply chain management
simulation model
agricultural machinery
operations management.
author_facet D. Pavlou
D. Bochtis
S. Tamvakidis
D. Aidonis
author_sort D. Pavlou
title Simulation and assessment of agricultural biomass supply chain systems
title_short Simulation and assessment of agricultural biomass supply chain systems
title_full Simulation and assessment of agricultural biomass supply chain systems
title_fullStr Simulation and assessment of agricultural biomass supply chain systems
title_full_unstemmed Simulation and assessment of agricultural biomass supply chain systems
title_sort simulation and assessment of agricultural biomass supply chain systems
publisher International Journal of Business Science and Applied Management
series International Journal of Business Science and Applied Management
issn 1753-0296
1753-0296
publishDate 2017-05-01
description Agricultural biomass supply chain consists of a number of interacted sequential operations affected by various variables, such as weather conditions, machinery systems, and biomass features. These facts make the process of biomass supply chain as a complex system that requires computational tools, e.g. simulation and mathematical models, for their assessment and analysis. A biomass supply chain simulation model developed on the ExtendSim 8 simulation environment is presented in this paper. A number of sequential operations are applied in order biomass to be mowed, harvested, and transported to a biorefinery facility. Different operational scenarios regarding the travel distance between field and biorefinery facility, number of machines, and capacity of machines are analyzed showing how different parameters affect the processes within biomass supply chain in terms of time and cost. The results shown that parameters such as area of the field, travel distance, number of available machines, capacity of the machines, etc. should be taken into account in order a less time and/ or cost consuming machinery combination to be selected.
topic agricultural biomass
supply chain management
simulation model
agricultural machinery
operations management.
url http://www.business-and-management.org/download.php?file=2016/11_2--47-56-Pavlou,Orfanou,Bochtis,Tamvakidis,Aidonis.pdf
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AT stamvakidis simulationandassessmentofagriculturalbiomasssupplychainsystems
AT daidonis simulationandassessmentofagriculturalbiomasssupplychainsystems
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