Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network Design

Integrated GIS-AHP network design optimization models via LP is proposed to solve the bi-objective biomass supply chain optimization problems inclusive of the management of cost-effective biomass resourcing spatial availability, optimal sites of biorefinery, and transportation network. The formulati...

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Main Authors: Nurul Hanim Razak, Haslenda Hashim, Nor Alafiza Yunus, Jirí Jaromír Klemeš
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2021-02-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/11350
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author Nurul Hanim Razak
Haslenda Hashim
Nor Alafiza Yunus
Jirí Jaromír Klemeš
author_facet Nurul Hanim Razak
Haslenda Hashim
Nor Alafiza Yunus
Jirí Jaromír Klemeš
author_sort Nurul Hanim Razak
collection DOAJ
description Integrated GIS-AHP network design optimization models via LP is proposed to solve the bi-objective biomass supply chain optimization problems inclusive of the management of cost-effective biomass resourcing spatial availability, optimal sites of biorefinery, and transportation network. The formulation is modeled through LP to minimize the logistic costs and GHG emissions. The case study focused on 78 palm oil plantations in Johor.
first_indexed 2024-12-14T11:08:56Z
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institution Directory Open Access Journal
issn 2283-9216
language English
last_indexed 2024-12-14T11:08:56Z
publishDate 2021-02-01
publisher AIDIC Servizi S.r.l.
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spelling doaj.art-3b5b85e6e5894e489c78988ba81f5bfa2022-12-21T23:04:23ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162021-02-018310.3303/CET2183096Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network DesignNurul Hanim RazakHaslenda HashimNor Alafiza YunusJirí Jaromír KlemešIntegrated GIS-AHP network design optimization models via LP is proposed to solve the bi-objective biomass supply chain optimization problems inclusive of the management of cost-effective biomass resourcing spatial availability, optimal sites of biorefinery, and transportation network. The formulation is modeled through LP to minimize the logistic costs and GHG emissions. The case study focused on 78 palm oil plantations in Johor.https://www.cetjournal.it/index.php/cet/article/view/11350
spellingShingle Nurul Hanim Razak
Haslenda Hashim
Nor Alafiza Yunus
Jirí Jaromír Klemeš
Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network Design
Chemical Engineering Transactions
title Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network Design
title_full Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network Design
title_fullStr Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network Design
title_full_unstemmed Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network Design
title_short Integrated GIS-AHP Optimization for Bioethanol from Oil Palm Biomass Supply Chain Network Design
title_sort integrated gis ahp optimization for bioethanol from oil palm biomass supply chain network design
url https://www.cetjournal.it/index.php/cet/article/view/11350
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AT haslendahashim integratedgisahpoptimizationforbioethanolfromoilpalmbiomasssupplychainnetworkdesign
AT noralafizayunus integratedgisahpoptimizationforbioethanolfromoilpalmbiomasssupplychainnetworkdesign
AT jirijaromirklemes integratedgisahpoptimizationforbioethanolfromoilpalmbiomasssupplychainnetworkdesign