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Designing a bio-fuel network considering links reliability and risk-pooling effect in bio-refineries

机译：设计生物燃料网络时要考虑到生物炼油厂的链路可靠性和风险共担效应

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Bio-fuel is one of the most important alternatives to fossil fuels due to energy shortages. The bio-fuel is derived from biomass that is obtained from agricultural products such as plant debris. In addition, the supply chain is affected by risks which are due to several reasons such as economic, natural phenomena, political and etc. The occurrence of such events can cause disruption in supply chain which can significantly increase the total supply chain costs and also prevent serve to customers. Reliability is involved the capability of a network to achieve an anticipated process such as "communication". Analysis of network reliability has acknowledged significant consideration and is consequently broadly studied to forecast and avoid any network failure. In order to distribute bio-fuel to the customers, designing a reliable and sustainable bio-fuel supply chain is very importance. Thus a growth in bio-fuel production demonstrates the requirement for establishing an effective and reliable network of chain that not only accomplishes sound under regular circumstances nevertheless restricted risk under various unanticipated disruption situations. This paper presents mathematical model to design an efficient bio-fuel supply chain network at pre-disaster stage that considering failure in the connecting links between the facilities. In which the probability of failure of the links is forecasted by a spatial statistic approach and also due to the fact that disasters can cause disruptions in bio-refineries, leads to use the risk-pooling effect in order to reduce total costs. In order to solve the proposed mathematical model, two meta-heuristic algorithms containing genetic algorithm (GA) and bat algorithm (BA) are utilized. The results show that by increasing the reliability and improvement of connecting links between facilities and considering the risk-pooling effect on disrupted bio-refineries, the total costs of supply chain can be considerably reduced. (C) 2018 Elsevier Ltd. All rights reserved.
机译：由于能源短缺，生物燃料是化石燃料最重要的替代品之一。生物燃料源自从农产品（例如植物残渣）中获得的生物质。此外，由于经济，自然现象，政治等多种原因，供应链还受到风险的影响。此类事件的发生会导致供应链中断，从而显着增加总供应链成本，并防止为客户服务。可靠性涉及网络实现预期过程（例如“通信”）的能力。网络可靠性分析已被确认为重要考虑因素，因此进行了广泛的研究以预测和避免任何网络故障。为了向客户分配生物燃料，设计可靠且可持续的生物燃料供应链非常重要。因此，生物燃料生产的增长表明，需要建立一个有效而可靠的连锁网络，不仅要在正常情况下取得良好的业绩，而且还要在各种意外中断情况下限制风险。本文提出了一种数学模型，用于在灾前阶段考虑设施之间连接环节的故障来设计高效的生物燃料供应链网络。其中，通过空间统计方法预测链接失败的可能性，并且还由于灾难可能导致生物炼油厂中断的事实，导致使用风险分担效应以降低总成本。为了解决所提出的数学模型，利用了包含遗传算法（GA）和蝙蝠算法（BA）的两种元启发式算法。结果表明，通过提高设施之间的可靠性和连接之间的联系，并考虑对被破坏的生物炼油厂的风险分担效应，可以显着降低供应链的总成本。 （C）2018 Elsevier Ltd.保留所有权利。

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