Novel resilient-sustainable strategies for second-generation biofuel network design considering Neem and Eruca Sativa under hybrid stochastic fuzzy robust approach

Nowadays, concerns about fossil fuel depletion, ecological crisis, and energy security lead to renewable energy generation. The present study provides a multi-objective, multi-period, multi-product integrated sustainable-resilient mixed-integer linear programming model for the optimal design of seco...

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Veröffentlicht in:Computers & chemical engineering Jg. 143; S. 107073
Hauptverfasser: Sharifi, Mohammad, Hosseini-Motlagh, Seyyed-Mahdi, Samani, Mohammad Reza Ghatreh, Kalhor, Talayeh
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 05.12.2020
Schlagworte:
Biofuel network design
Multi-objective optimization
Resiliency
Sustainability
Uncertainty
Biofuel network design
Uncertainty
Multi-objective optimization
Resiliency
Sustainability
ISSN:0098-1354, 1873-4375
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Zusammenfassung:Nowadays, concerns about fossil fuel depletion, ecological crisis, and energy security lead to renewable energy generation. The present study provides a multi-objective, multi-period, multi-product integrated sustainable-resilient mixed-integer linear programming model for the optimal design of second-generation biofuel supply chain networks under uncertainty. A novel hybrid stochastic fuzzy-robust approach was utilized to tackle the uncertainty of parameters, and the weighted sum method was applied to deal with the multi-objective problem. Several resiliency measures are introduced to enhance the resiliency of the network and resist against any disruption. Furthermore, strategies to fulfill social impacts are proposed to promote sustainable development of the considered network. Then, a real case study is implemented to investigate the validation of the proposed model. The results indicated that simultaneously considering three measures, including resilience, social impacts, and cost and setting a trade-off between them by decision-makers can boost biofuel supply chain network design in an optimal manner.
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2020.107073