Biodiesel Supply Chain Optimization Modeled with Geographical Information System (GIS) and Mixed-Integer Linear Programming (MILP) for the Northern Great Plains Region

Jeong, Hyunju; Sieverding, Heidi L.; Stone, Jeff

doi:10.1007/s12155-018-9943-y

Cited by 30 publications

(18 citation statements)

References 24 publications

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“…Other factors, such as infrastructure, also determine transportation values. Research involving transportation by paying attention to minimum cost routes was only done by [30].…”

Section: Discussionmentioning

confidence: 99%

“…High transportation cost, especially biodiesel transport, was a decisive factor in determining the numbers, capacities, and locations of new biodiesel plants. Neither increasing transportation cost nor decreasing plant construction cost changed the optimized supply chain configuration because the transportation cost was already high enough to dominate the supply chain optimization [30].…”

Section: Distribution and Transportationmentioning

confidence: 99%

“…Supply chain optimization by paying attention to the transportation route is done by adjusting the area's spatial conditions being studied. For example, Jeong et al [30] uses transportation routes despite the GIS network analysis by combining transportation modes.…”

Section: Distribution and Transportationmentioning

confidence: 99%

“…Several previous studies have done this. For example , Jeong et al [30] uses transportation routes despite the GIS network analysis by combining transportation modes and uses the network analysis using OD cost matrix was used to determine minimum cost routes over regional multimodal transportation network, which is different from other studies in terms of analysis criteria, and multimodal network consideration…”

Section: Distribution and Transportationmentioning

confidence: 99%

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Modelling Biodiesel Supply Chain: Current State and Opportunities for Future Research

et al. 2021

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The use of renewable energy is an important issue that is being promoted internationally. Considering the supply of fossil energy is increasingly depleting and requires a very long time to be renewed. One of the uses of renewable energy that is being promoted is the use of biodiesel as a substitute for diesel fuel. This utilization is carried out by mixing biodiesel with diesel fuel. The quantity of biodiesel blended with diesel fuel is following the rules in each country. That is why the biodiesel supply chain must be described to obtain minimum economic costs and environmental costs. This paper presents a comprehensive review of current biodiesel supply chain models. A study of the biodiesel supply chain’s current state concludes by highlighting the unaddressed area or the gaps existing in the existing literature by suggesting future research in the biodiesel supply chain, specifically in the area case study in Indonesia.

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“…Other factors, such as infrastructure, also determine transportation values. Research involving transportation by paying attention to minimum cost routes was only done by [30].…”

Section: Discussionmentioning

confidence: 99%

Section: Distribution and Transportationmentioning

confidence: 99%

Section: Distribution and Transportationmentioning

confidence: 99%

Section: Distribution and Transportationmentioning

confidence: 99%

See 2 more Smart Citations

Modelling Biodiesel Supply Chain: Current State and Opportunities for Future Research

et al. 2021

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“…20 For instance, Awudu and Zhang 21 presented a single-period mathematical model to maximize the profit of a BSC in the United States under demand and price uncertainty. Combining a mixed integer linear programing model and Geographic Information System (GIS), Jeong et al 22 developed an approach for optimizing a three-level BSC in the US to minimize network costs. Kim et al 23 maximized the profitability of a biomass supply chain network by designing MILP model under uncertain conditions.…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of a Supply Chain for Jatropha-Based Biofuel from a Sustainable Development Perspective Considering International Resources and Demand: A Case Study

Afkhami

Zarrinpoor

2021

Ind. Eng. Chem. Res.

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In this paper, a multiperiod, multiobjective, and multiproduct second-generation biodiesel supply chain network is innovated, taking into account sustainable development and international resources and demand. The proposed model maximizes the total profit and positive social issues and minimizes the harmful environmental consequences of the network. Furthermore, as trade is nowadays considered to be an important issue on an international scale, economic globalization is also considered in the present study by expanding the operational activities of supplying feedstocks and selling final products worldwide. The model is validated through real data collected within Iran and some Asian countries and solved by the interactive fuzzy programming method. The experimental results verify the efficiency of the model for countries that have the capacity to produce inedible-based biofuel. As a result, the highest share of the revenues is earmarked for international biodiesel sales (80%), which indicates that globalization can increase the profit to a great extent.

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Designing a GIS‐based supply chain for producing carinata‐based sustainable aviation fuel in Georgia, USA

Ullah

Masum

Field

et al. 2023

Biofuels Bioprod Bioref

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Carinata is a potential crop for sustainable aviation fuel (SAF) production in the southern USA. However, as a novel crop, the cost-effectiveness and environmental feasibility of carinata feedstock are unknown, and there are questions about the optimal supply chain configuration for carinata-based SAF production. This study aims to design a supply chain model for carinata-based SAF production by optimizing the location of farms and facilities (e.g. storage units, crushing mills, biorefineries) for a minimum transportation cost under a set of supply and demand conditions. An integrated mixed-integer linear programming (MILP) model was combined with geographical information system (GIS) analysis to design a spatially explicit supply chain configuration. The GISbased network analysis considered all of the counties in Georgia to set the candidate locations of carinata farms and facilities, and determined minimum cost and emission routes between those counties and the airport using existing transportation networks and modes (e.g. road, rail and pipeline). The MILP model determined the final selection of the farms and the number of facilities and their

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Biodiesel Supply Chain Optimization Modeled with Geographical Information System (GIS) and Mixed-Integer Linear Programming (MILP) for the Northern Great Plains Region

Cited by 30 publications

References 24 publications

Modelling Biodiesel Supply Chain: Current State and Opportunities for Future Research

Modelling Biodiesel Supply Chain: Current State and Opportunities for Future Research

Optimization Design of a Supply Chain for Jatropha-Based Biofuel from a Sustainable Development Perspective Considering International Resources and Demand: A Case Study

Designing a GIS‐based supply chain for producing carinata‐based sustainable aviation fuel in Georgia, USA

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