A bi-objective stochastic location-inventory-routing model for microalgae-based biofuel supply chain

Asadi, Ehsan; Habibi, Farhad; Nickel, Stefan; Sahebi, Hadi

doi:10.1016/j.apenergy.2018.07.067

Cited by 87 publications

(33 citation statements)

References 49 publications

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“…Bioenergy is a renewable energy generated from biomass. In general, different types of biomass may be categorized into three generations: the first generation is mainly composed of feed materials such as corn grain, sugar cane, soybeans, and oilseeds; the second generation includes such materials as agricultural wastes [1] such as corn pods, post-felling wastes, or non-edible energy specific products like switchgrass, miscanthus, and jatropha; and finally, the third generation described as aquatic biomass, includes a diverse group of photosynthetic algae and cyanobacteria, sized from microscopic (microalgae and cyanobacteria) to large seaweeds [2]. The importance of design, implementation, and management of renewable energy supply chains has been rapidly growing in recent years.…”

Section: Introductionmentioning

confidence: 99%

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

2020

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Scarcity of fossil fuels and their emissions have led energy policymakers to look for alternative renewable and clean energy sources. In line with this target, biomass is a promising alternative source for the generation of clean energy and the development of a sustainable society. The use of animal and agricultural wastes is one of the very promising renewable energy alternatives paving the way for a more sustainable energy network. Animal and agricultural wastes as biomass sources do not endanger food security and mitigate environmental impacts and may therefore considerably contribute to an appropriate waste management. As a result, converting animal and agricultural wastes to energy is a challenging issue that has attracted the attention of academic and industrial researchers. A multi-echelon multi-objective model is developed to design a sustainable supply chain for bioenergy generation through the anaerobic digestion process. The model maximizes economic and social objective functions, representing direct economic profits and positive social externalities such as job creation and economic development, respectively. Factors affecting the international supply chain include imports of intermediate production equipment, exports of a final product, international business terms applied, customs duties, and foreign exchange rates. Bioenergy and fertilizers are outputs considered in this study; the former to be converted to electricity in a biogas plant to meet domestic demands, and the latter to be exported. A case study for the Golestan province is used to evaluate the efficiency of the proposed model. The results support the potential for three biogas power plants in Gonbad-e-Kavoos, with an annual production capacity of about 1000 tons of fertilizer and an electricity supply for 101,556 households per month. There is still a broad field of promising avenues for future research. Studying uncertainty in different supply chain parameters and using robust optimization to deal with uncertainties are recommended approaches.

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Section: Introductionmentioning

confidence: 99%

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

2020

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“…The benefits of the integration of some supply chain decisions have been realized by many researchers. The problem of integrated location-inventory-routing (LIR) has been addressed by previous scholars (for example see Guerrero, Prodhon, Velasco, & Amaya, 2013 ; Zhalechian, Tavakkoli-Moghaddam, Zahiri, & Mohammadi, 2016 ; Zhang, Qi, Miao, & Liu, 2014 ; Zhao & Ke, 2017 ; Angazi, 2016 ; Habibi, Asadi, & Sadjadi, 2018 ; Asadi, Habibi, Nickel, & Sahebi, 2018 ; Zheng, Yin, & Zhang, 2019 ; Indah Saragih, Bahagia, & Syabri, 2019 ; Karakostas, Sifaleras, & Georgiadis, 2019 ). One of the significant issues in LIR problems is the perishability of products meaning that the quality and freshness of the products reduce over time and finally, the products are no longer useable if the reach their expiry date.…”

Section: Introductionmentioning

confidence: 99%

Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products

Yavari

Enjavi

Geraeli

2020

Research in Transportation Business & Management

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“…The next problem with fossil fuels is price fluctuation. The US Energy Information Administration has reported that the price variations are a result of fossil fuel consumption, global inflation, and GDP growth [6]. Moreover, environmental concerns such as global warming are another problem with non-renewable sources of energy [34].…”

Section: Introductionmentioning

confidence: 99%

A robust optimization model for a biofuel supply chain under demand uncertainty

Delkhosh

Sadjadi

2019

Int J Energy Environ Eng

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The growing demand for fuels combined with the fact that there are limited fossil fuel resources has led the world to seek renewable energy resources such as biofuels. Micro-algae can be an efficient source of biofuel energy, since it significantly reduces air pollution. In this paper, we develop a micro-algae biofuel supply chain through a two-stage approach. This study aims to commercialize micro-algae as a new source of energy. In the first stage, we utilize the Best-Worst Method (BWM) to determine the best cultivation system, and in the second stage, a bi-objective mathematical model is presented which simultaneously optimizes the economic and environmental objectives. We also propose a robust optimization model to deal with the uncertain nature of the biofuel supply chain. Our analysis on the trade-off between the supply chain's total cost and unfulfillment demand arrives at interesting managerial insights. Furthermore, to show the effectiveness of the robust optimization model, we compare the performance of the robust and deterministic models, and the results show that the robust model dominates over the deterministic model in all scenarios. Finally, sensitivity analysis on critical parameters is conducted to help decision-makers find the optimal trade-off between investment and its benefits.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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A bi-objective stochastic location-inventory-routing model for microalgae-based biofuel supply chain

Cited by 87 publications

References 49 publications

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products

A robust optimization model for a biofuel supply chain under demand uncertainty

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