Sustainable supply chain planning for biomass-based power generation with environmental risk and supply uncertainty considerations: a real-life case study

Mohammad Fattahi*, Kannan Govindan, Mehdi Farhadkhani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This paper addresses the design and planning of a supply chain (SC) system for power generation from biomass by using various technologies. A two-stage stochastic programming model is developed to find an effective design strategy under stochastic and highly seasonal biomass supply. The biomass usage, as a renewable energy source, for the power generation affects the environment and society in multiple ways, such as social expectations, life-threatening issues, and greenhouse gas emissions. As a consequence, in the stochastic model, by the social life cycle assessment (S-LCA) approach, the SC’s social impact is guaranteed to be larger than a minimum acceptable rate. Furthermore, the environmental risk of the SC is quantified based on its air pollutant and greenhouse gas emissions and mitigated. To deal with the biomass supply uncertainty, discrete scenarios are generated using a backward scenario reduction approach. Computational results are presented on a real-life case study in Iran to show the stochastic model’s applicability in evaluating the economic potential, the sustainability aspects, and the required infrastructure for the planning of the SC system. In addition, to drive managerial insights, sensitivity analysis on key parameters of the optimisation problem is done.

Original languageEnglish
Pages (from-to)3084-3108
Number of pages25
JournalInternational Journal of Production Research
Volume59
Issue number10
Early online date23 Apr 2020
DOIs
Publication statusPublished - 19 May 2021
Externally publishedYes

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