Modelling food logistics networks with emission considerations: The case of an international beef supply chain
Modelling food logistics networks with emission considerations: The case of an international beef supply chain
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DOI：
10.1016/j.ijpe.2013.12.012
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发表时间：
2014-06
影响因子：
12
通讯作者：
Mehmet Soysal;J. Bloemhof-Ruwaard;J. Vorst
中科院分区：
文献类型：
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作者：
Mehmet Soysal;J. Bloemhof-Ruwaard;J. Vorst
食品产品和工艺的内在特征以及日益增长的可持续性问题导致对决策支持工具的需求，这些工具可以将经济考虑与食品供应链中的质量保存和环境保护结合起来。在这项研究中，我们建立了一个多目标线性规划（MOLP）模型，用于一般牛肉物流网络问题。该模型的目标是(i)最小化总物流成本和（ii）最小化运输业务的温室气体排放总量。采用ε-约束方法对模型进行求解。本研究突破了物流网络模型的文献，在MOLP模型中同时考虑了运输排放（受道路结构、车辆和燃料类型、车辆重量载荷、行驶距离的影响）、回程运输和产品易腐性。我们给出了基于该模型在巴西南马托格罗索州新安德拉迪纳的现实国际牛肉物流链上的应用的计算结果和分析，并将牛肉出口到欧盟。通过推导出的帕累托边界可以观察到多个目标之间的权衡关系，该边界表示从减少交通排放的角度来看可持续发展的成本。饼状图分析的结果表明，行为者之间的距离在环境影响方面的重要性。此外，对实际重要参数的敏感性分析表明，出口港口的容量对物流系统构成压力；糟糕的基础设施导致燃油效率下降，对成本和排放产生负面影响；而且，绿色税收激励还能改善经济和环境。
Intrinsic characteristics of food products and processes along with growing sustainability concerns lead to the need for decision support tools that can integrate economic considerations with quality preservation and environmental protection in food supply chains. In this study, we develop a multi-objective linear programming (MOLP) model for a generic beef logistics network problem. The objectives of the model are (i) minimizing total logistics cost and (ii) minimizing total amount of greenhouse gas emissions from transportation operations. The model is solved with the ε-constraint method. This study breaks away from the literature on logistics network models by simultaneously considering transportation emissions (affected by road structure, vehicle and fuel types, weight loads of vehicles, traveled distances), return hauls and product perishability in a MOLP model. We present computational results and analysis based on an application of the model on a real-life international beef logistics chain operating in Nova Andradina, Mato Grosso do Sul, Brazil and exporting beef to the European Union. Trade-off relationships between multiple objectives are observed by the derived Pareto frontier that presents the cost of being sustainable from the point of reducing transportation emissions. The results from the pie chart analysis indicate the importance of distances between actors in terms of environmental impact. Moreover, sensitivity analysis on practically important parameters shows that export ports' capacities put pressure on the logistics system; decreasing fuel efficiency due to the bad infrastructure has negative effects on cost and emissions; and green tax incentives result in economic and environmental improvement.