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A two-stage multi-objective second generation biodiesel supply chain design considering social sustainability: A case study
یک طرح زنجیره تأمین بیودیزل چند مرحله ای چند مرحله ای با توجه به پایداری اجتماعی: یک مطالعه موردی-2021 Undesirable environmental impacts caused by fossil fuel consumption have motivated governments to focus on biofuels production. Therefore, in our paper, we design a multi-objective biodiesel supply chain from Jatropha, which includes biomass cultivation center, pretreatment, and oil extraction center, bio- refinery, and demand zone. In our study, a two-stage approach presented, which first specifies candidate locations for biomass cultivation with a common weight data envelopment analysis (CWDEA) method and then strategic and tactical decisions were made by a mathematical model. The presented multi- objective model focuses on cost minimization, besides social benefits and environmental impacts maximization while a life cycle assessment approach is used to model social indicators. The capability of the model is validated by proposing a case study of Iran and the augmented ε-constraint method is employed to reach a trade-off between three pillars of sustainability while managerial insights are provided by employing a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for the optimal solution selection. Models results and sensitivity analysis on key parameters, specify the best locations for Jatropha Curcas L. (JCL) cultivation and facility construction as well as an optimal value of supply chain variables, which finally proves that Iran has a high potential for biodiesel production from JCL that leads improving balanced socio-economic development in this country.© 2021 Elsevier Ltd. All rights reserved. Keywords: Biodiesel supply chain design | Jatropha | Multi-objectives optimization | CWDEA | TOPSIS | Social responsibility |
مقاله انگلیسی |
2 |
An integrated data envelopment analysis-mathematical programming approach to strategic biodiesel supply chain network design problem
رویکرد برنامه ریزی تجزیه و تحلیل یکپارچه داده ها و ریاضی به مسئله طراحی شبکه شبکه زنجیره تامین استراتژیک-2017 Global warming, environmental issues, food crisis and energy security are the main concerning problems
which have triggered a sense of urgency among policymakers and development practitioners to find
sustainable and viable solutions in the area of bioenergy. Among various edible and non-edible bio
energy feedstocks specified for biodiesel production, Jatropha curcas L. (JCL) and waste cooking oil (WCO)
have been introduced to be promising and sustainable. In this study, an integrated hybrid approach based
on a data envelopment analysis (DEA) and mathematical programming techniques is presented for the
strategic design of biodiesel supply chain network in Iran. In the first phase, JCL cultivation areas are
assessed according to climatic and social criteria by a unified DEA (UDEA) model. In the second phase, the
locations which have achieved desired efficiency scores are considered as candidate locations for JCL
cultivation within a mathematical programming model developed for designing the biodiesel supply
chain network. The proposed mathematical programming model optimizes the numbers, locations and
capacities of JCL cultivation centers, JCL seeds and WCO collection centers, bio-refineries, and distribution
centers. The proposed approach is implemented in Iran for 10 years planning horizon. The results show
the usefulness and efficiency of the proposed method in assisting the policymakers to take suitable
strategic and tactical level decisions related to biodiesel supply chain planning.
Keywords: Jatropha curcas L | Biofuel supply chain optimization | Data envelopment analysis | Mathematical programming techniques | Sustainable | development |
مقاله انگلیسی |