Designing an eco-efficient biomass-based supply chain using a multi-actor optimisation model

Designing an eco-efficient biomass-based supply chain using a multi-actor optimisation model
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DOI:
10.1016/j.jclepro.2018.10.351
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发表时间:
2019-02
影响因子:
11.1
通讯作者:
J. Jonkman;A. Kanellopoulos;J. Bloemhof
J. Jonkman;A. Kanellopoulos;J. Bloemhof
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
J. Jonkman;A. Kanellopoulos;J. Bloemhof

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可持续发展问题强调了确定生态高效的供应链配置的重要性,这些配置可以平衡经济和环境链目标。为此目的而采用的建模方法往往假设原材料的供应和所研究的供应链内的充分协调。然而,这一链条中的一些或所有行为者可能追求各自的目标,从而使所获得的解决办法在实践中不可行。经济激励措施有助于协调不同供应链行为体的目标。本文探讨了生态高效生物质供应链的设计和供应链合作伙伴之间的经济收益分配。一个案例研究是为荷兰的甜菜加工链,农民也可以选择生产其他竞争作物。我们观察到,较高的产量往往导致每吨产品的碳排放量较低。因此,生态高效的解决方案是在最具生产力的地区建立生产和加工地点。此外,高于最低甜菜价格的利润分享是必要的,以确保生产所需数量的甜菜。现实的甜菜价格是使用Shapley值方法确定的,从而在供应链中的农民和加工者之间公平分配利润。
Sustainability concerns emphasise the importance of identifying eco-efficient supply chain configurations which balance economic and environmental chain objectives. The applied modelling approaches for this purpose often assume the availability of raw materials and full coordination within the supply chain studied. Some or all actors in the chain can however pursue individual objectives, making the obtained solutions unfeasible in practice. Economic incentives support aligning the objectives of the different supply chain actors. This paper explores the design of eco-efficient biomass supply chains and economic gain allocation between the supply chain partners. A case study is developed for the sugar beet processing chain in the Netherlands, in which farmers can also choose to produce other competing crops. We observe that higher yields often lead to lower carbon emissions per ton of produce. Hence, eco-efficient solutions are found to have production and processing locations in the most productive regions. Additionally, margin sharing above the minimum sugar beet price is necessary to ensure the production of the desired quantity of sugar beet. Realistic sugar beet prices are determined using a Shapley-value approach, leading to a fair distribution of margin among the farmers and processor in the supply chain.