Sustainable planning and decision-making model for sugarcane mills considering environmental issues

• Published in: Journal of environmental management Vol. 303; p. 114252
• Main Authors: Chouhan, Vivek Kumar, Khan, Shahul Hamid, Hajiaghaei-Keshteli, Mostafa
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.02.2022
• Subjects: Agricultural supply chain; Algorithms; Carbon Footprint; Closed-loop supply chain; Hybrid algorithm; Models, Theoretical; Reverse logistics; Saccharum; Transportation; Closed-loop supply chain; Hybrid algorithm; Reverse logistics; Agricultural supply chain
• ISSN: 0301-4797; 1095-8630
• DOI: 10.1016/j.jenvman.2021.114252

Many companies and organizations are pursuing “carbon footprint” projects to estimate their own contribution due to growing concerns about global climate change and carbon emissions. Measures such as carbon taxes are the most powerful means of dealing with the threats of climate change. In recent years, researchers have shown a particular interest in modelling supply chain networks under this scheme. Disorganized disposal of by-products from sugarcane mills is the inspiration of this research. In order to connect the problem with the real world, the proposed sustainable sugarcane supply chain network considers carbon taxes on the emission from industries and during transportation of goods. The presented mixed-integer linear programming modelling is a location-allocation problem and, due to the inherent complexity, it is considered a Non-Polynomial hard (NP-hard) problem. To deal with the model, three superior metaheuristics Genetic Algorithm (GA), Simulated Annealing (SA), Social Engineering Optimizer (SEO) and hybrid methods based on these metaheuristics, namely, Genetic-Simulated Annealing (GASA) and Genetic-Social Engineering Optimizer (GASEO), are employed. The control parameters of the algorithms are tuned using the Taguchi approach. Subsequently, one-way ANOVA is used to elucidate the performance of the proposed algorithms, which compliments the performance of the proposed GASEO. [Display omitted] •Developing an environment conscious sugarcane supply chain network.•Emphasis is placed on proper disposal of by-products from sugar cane mills.•An initiative to reduce emissions through carbon taxes has been taken.•Hybrid algorithms are offered as a possible solution approaches.•A real case study based on Indian locality is presented.