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Abstract

In this paper, we develop a decisional framework and a mathematical model for the sustainable design of biodiesel supply chain networks (BSCND). We consider a broad group of sustainable aims, i.e. standard economic goals (revenue and logistics costs of BSCND), environmental issues based on a biodiesel production life cycle assessment (LCA), and the social incidental aspects (e.g. crime control, political stability, and community attitude, among others). The framework begins with a simulation of the biodiesel production system, feeding later, with suitable input parameters and suitable solutions, and a macrolocation model designed to establish the regional positioning of biofuel conversion plants. Optimal regions are used as initial feasible solution space for the proposed micro-location model. In this part of the framework, we introduce an adaptation of Extended Goal Programming to rank the best municipalities (definitive locations) emphasizing the social aspects under consideration. The framework application is set up in the following Colombian context: first generation biodiesel production from palm oil feedstock. Our computational results indicate that the Colombian city of Rionegro (in the Santader region) is the most sustainable location for a new biodiesel plant.
5/9/2017 A decisional simulation-optimization framework for sustainable facility location of a biodiesel plant in Colombia
http://www.sciencedirect.com/science/article/pii/S0959652617318450 1/3
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Highlights
Abstract
Keywords
1. Introduction
2. Facility location within the frame of B
3. Proposed simulation-optimization fra
4. A realistic case study of BSCND
5. Conclusions
Appendix A. Biodiesel production flows
Appendix B. Input data for simulation pr
Uncited reference
References
Figures and tables
Table 1
Table 2
Table 3
https://doi.org/10.1016/j.jclepro.2017.08.126
JournalofCleanerProduction
Availableonline23August2017
InPress,AcceptedManuscript—Notetousers
Adecisionalsimulationoptimizationframeworkforsustainable
facilitylocationofabiodieselplantinColombia
YaselCostaa,b, ,AlexandraDuartec, ,WilliamSarached, ,
Showmore
Highlights
Asimulationoptimizationframeworkisproposedaccordingtosustainabilitycriteria.
.
Designofbiodieselproductionprocessisaddressedwithsimulationtechniques..
Regionalpositioningofconversionplantsisaddressedbyamacrolocationmodel..
Amicrolocationmodelisimplementedtosetoptimalcitiesforconversionplants..
TheproposedframeworkisextendedtoarealisticcasestudyinColombiancontext.
.
Abstract
Inthispaper,wedevelopadecisionalframeworkandamathematicalmodelforthe
sustainabledesignofbiodieselsupplychainnetworks(BSCND).Weconsiderabroad
groupofsustainableaims,i.e.standardeconomicgoals(revenueandlogisticscostsof
BSCND),environmentalissuesbasedonabiodieselproductionlifecycleassessment
(LCA),andthesocialincidentalaspects(e.g.crimecontrol,politicalstability,and
communityattitude,amongothers).Theframeworkbeginswithasimulationofthe
biodieselproductionsystem,feedinglater,withsuitableinputparametersandsuitable
solutions,andamacrolocationmodeldesignedtoestablishtheregionalpositioningof
biofuelconversionplants.Optimalregionsareusedasinitialfeasiblesolutionspacefor
theproposedmicrolocationmodel.Inthispartoftheframework,weintroducean
adaptationofExtendedGoalProgrammingtorankthebestmunicipalities(definitive
locations)emphasizingthesocialaspectsunderconsideration.Theframework
applicationissetupinthefollowingColombiancontext:firstgenerationbiodiesel
productionfrompalmoilfeedstock.Ourcomputationalresultsindicatethatthe
ColombiancityofRionegro(intheSantaderregion)isthemostsustainablelocationfora
newbiodieselplant.
Keywords
Facilitylocation;Sustainability;Supplychaindesign;Biofuel
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This paper addresses the optimal design and location facility of biodiesel supply chains (BSC) under economic and environmental criteria. The economical aspect scale is assessed by the total annualized cost. The environmental objective is evaluated by the total GHG (Green House Gases) emissions for a whole life cycle. A mathematical model that can be used to design the supply chain (SC) and manage the logistics of a biodiesel is proposed. The model determines the number, size and location of biorefineries needed to produce biodiesel using the available biomass. Mixed-integer linear programming model is proposed that takes into account infrastructure compatibility, demand distribution, as male as the size and location of biorefineries needed to produce biodiesel using the available biomass and carbon tax. An important feature of the model proposed is the account requirement of crop rotation important from agronomic perspective. In second part of this study Bulgaria is examined as the testing ground of the model. © 2014 Bulgarian Academy of Sciences, Union of Chemists in Bulgaria.
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