Designing a resilient and reliable biomass-to-biofuel supply chain under risk pooling and congestion effects and fleet management

JOURNAL OF CLEANER PRODUCTION

卷:281

Article

Khezerlou, H. Soleimanian¹  Vahdani, Behnam^1,2  Yazdani, M.¹ 

[1] Islamic Azad Univ, Fac Ind & Mech Engn, Dept Ind Engn, Qazvin Branch, Qazvin, Iran

[2] UBL, Lab STICC, IMT Atlantique, F-29238 Brest, France

关键词: Biomass supply chain;    Disruption;    Risk measures;    Risk pooling;    Congestion;    Meta-heuristic;   

DOI  :  10.1016/j.jclepro.2020.125101

来源: Elsevier

【 摘 要 】

The utilization of renewable biomass as feedstock for biofuel production has been gaining prestige to mitigate carbon emissions. This paper aims to render an optimization model for designing a resilient and reliable biomass-to-biofuel supply chain network in which multi-modal terminals, biorefineries, and their connection link could be faced with disruption. For this purpose, risk-averse optimization, transitional probabilities, and spatial statistics models are employed. What is more, to overcome the repercussions of uncertain demand and the availability of raw materials, risk pooling and M/M/1 queuing system are considered. Finally, since the proposed model is an NP-hard problem, two meta-heuristic algorithms called improved ray optimization and colliding bodies optimization are employed to solve the proposed model. Computational results reveal that by increasing 20% of the conversion rate of biomass to biofuel, which leads to increase biomass supply, biofuel production increases by 20.88%, and the SC cost declines by 9.32% due to the better capacity distribution of bio-refineries. Also, the proposed model increases by 20.87% in the total SC costs under random disruptions than the risk-neutral model, although the failure costs of SC decline by 80.45%. (C) 2020 Elsevier Ltd. All rights reserved.

【 授权许可】

Free