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Integration of Triple Sustainable Management by Considering the Multi-period Supply Chain for Next-Generation Fuel

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Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 591)

Abstract

Energy sources depending on biofuel have a positive impact on the environment, economy, and society. To use this next-generation fuel appropriately at a developed scale, well-designed and efficient supply chain management are desired. Therefore, it is necessary to design and develop a sustainable biofuel supply chain that is economical, minimizes environmental threats, and improves social benefits. In this study, a multi-period multi-objective sustainable supply chain management is developed. This long-term planning horizon is divided into an equivalent number of sub-periods in which all objectives are executed simultaneously. The objective is to make a framework of the multi-period sustainable supply chain management that reduces the carbon emission and take full advantage of the new job opportunities in the entire period. The parameters in this model are needed to extend during the time to meet the upward demand for markets. The augmented ε-constraint approach with an improved way of computing the step size is used to make a trade-off between contending objectives. The findings will help the organizations to respond accordingly for different parameters and regulations while designing the long-term planning for second-generation biofuel supply chain management.

Keywords

  • Triple sustainable management
  • Multi-period supply chain
  • Sustainable fuel
  • Carbon emissions
  • Augmented ε-constraint

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References

  1. Dey, P.K., Cheffi, W.: Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations. Prod. Planning Control 24(8–9), 702–720 (2013)

    CrossRef  Google Scholar 

  2. Elkington, J.: Enter the triple bottom line, in The triple bottom line. pp. 23–38. Routledge (2013)

    Google Scholar 

  3. Ghafoor, A., ur Rehman, T., Munir, A., Ahmad, M., Iqbal, M.: Current status and overview of renewable energy potential in Pakistan for continuous energy sustainability. Renew. Sustain. Energy Rev. 60, pp. 1332–1342 (2016)

    Google Scholar 

  4. Ahmed, W., Sarkar, B.: Impact of carbon emissions in a sustainable supply chain management for a second generation biofuel. J. Cleaner Prod. 186, 807–820 (2018)

    CrossRef  Google Scholar 

  5. Ghaderi, H., Pishvaee, M.S., Moini, A.: Biomass supply chain network design: an optimization-oriented review and analysis. Ind. Crops Prod. 94, 972–1000 (2016)

    CrossRef  Google Scholar 

  6. Xie, F., Huang, Y.: A multistage stochastic programming model for a multi-period strategic expansion of biofuel supply chain under evolving uncertainties. Transp. Res. Part E: Logistics Transp. Rev. 111, 130–148 (2018)

    CrossRef  Google Scholar 

  7. Bairamzadeh, S., Saidi-Mehrabad, M., Pishvaee, M.S.: Modelling different types of uncertainty in biofuel supply network design and planning: a robust optimization approach. Renew. Energy 116, 500–517 (2018)

    CrossRef  Google Scholar 

  8. Kim, J., Realff, M.J., Lee, J.H.: Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Comput. Chem. Eng. 35(9), 1738–1751 (2011)

    CrossRef  Google Scholar 

  9. Balaman, Ş.Y., Selim, H.: A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains. Energy 74, 928–940 (2014)

    CrossRef  Google Scholar 

  10. Ahmed, W., Sarkar, B.: Management of next-generation energy using a triple bottom line approach under a supply chain framework. Resour. Conserv. Recycl. 150, 104431 (2019)

    CrossRef  Google Scholar 

  11. Ghosh, A., Sarmah, S.P., Jha, J.K.: Collaborative model for a two-echelon supply chain with uncertain demand under carbon tax policy. Sādhanā 43(9), 1–17 (2018). https://doi.org/10.1007/s12046-018-0899-6

    MathSciNet  CrossRef  MATH  Google Scholar 

  12. Khorram, E., Khaledian, K., Khaledyan, M.: A numerical method for constructing the Pareto front of multi-objective optimization problems. J. Comput. Appl. Math. 261, 158–171 (2014)

    MathSciNet  CrossRef  Google Scholar 

  13. Mavrotas, G., Florios, K.: An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Appl. Math. Comput. 219(18), 9652–9669 (2013)

    MathSciNet  MATH  Google Scholar 

  14. Nezhad, A.E., Javadi, M.S., Rahimi, E.: Applying augmented ɛ-constraint approach and lexicographic optimization to solve multi-objective hydrothermal generation scheduling considering the impacts of pumped-storage units. Int. J. Electr. Power Energy Syst. 55, 195–204 (2014)

    CrossRef  Google Scholar 

  15. Du, Y., Xie, L., Liu, J., Wang, Y., Xu, Y., Wang, S.: Multi-objective optimization of reverse osmosis networks by lexicographic optimization and augmented epsilon constraint method. Desalination 333(1), 66–81 (2014)

    CrossRef  Google Scholar 

  16. Rossit, D.G., Tohmé, F.A., Frutos, M., Broz, D.R.: An application of the augmented ε-constraint method to design a municipal sorted waste collection system (2017)

    Google Scholar 

  17. Keshavarz Ghorabaee, M., Amiri, M. Turskis, Z.: A new approach for solving bi-objective redundancy allocation problem using DOE, simulation and ε-constraint method. Informatica 28(1), pp. 79–104 (2017)

    Google Scholar 

  18. Yu, H., Solvang, W.D.: An improved multi-objective programming with augmented ε-constraint method for hazardous waste location-routing problems. Int. J. Environ. Res. Public Health 13(6), 548 (2016)

    CrossRef  Google Scholar 

  19. Amirian, H., Sahraeian, R.: Augmented ε-constraint method in multi-objective flowshop problem with past sequence set-up times and a modified learning effect. Int. J. Prod. Res. 53(19), 5962–5976 (2015)

    CrossRef  Google Scholar 

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Correspondence to Waqas Ahmed .

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Ahmed, W., Sarkar, B., Agha, M.H. (2020). Integration of Triple Sustainable Management by Considering the Multi-period Supply Chain for Next-Generation Fuel. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-030-57993-7_25

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  • DOI: https://doi.org/10.1007/978-3-030-57993-7_25

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