走向食品生产的分散化:规模生产对经济、碳足迹和能源需求的影响

A. Almena , E. Lopez-Quiroga , P.J. Fryer , S. Bakalis
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引用次数: 11

摘要

目前,大多数食品都是在大型、集中的工厂进行加工的,这些工厂拥有非本地化的零售系统,这使得食品加工商能够从规模经济中受益。这在生产方面是高效的,但可能涉及冗长而僵硬的供应链,运输成本更高,对环境的影响也更大。以小规模本地生产为基础的分散制造,最近作为一种可以为食品供应链提供灵活性的选择而兴起。在这项工作中,我们提出了一个建模工具,用于设计,评估和食品生产过程的比较,考虑到经济,环境和社会因素。所提出的方法可以应用于广泛的食品,并以谷物粥和三明治面包的生产为例进行说明。我们评估并比较了三种分散的方案:“家庭制造”(HM)、“食品孵化器”(FI)和“分布式制造”(DM)与集中式生产。SP (Single Plant)和MP (Multi Plant)场景。根据英国的需求,在这两种情况下,SP是最节能和最便宜的方案,紧随其后的是HM和FI在谷物粥生产中。DM可以与SP竞争,假设管理成本较低,并且可以节省供应链上的运输/存储成本。对于面包的案例研究,单位利润率较低使得分散方案不那么有利。
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Towards the decentralisation of food manufacture: effect of scale production on economics, carbon footprint and energy demand

Most food products are currently processed in large, centralised factories with delocalised retail systems, which allows food processors benefit from economies of scale. This is efficient in terms of production, but can involve lengthy and rigid supply chains, with higher transport costs and environmental impacts. Decentralised manufacturing, based on local production at small scale, has risen recently as an alternative that could provide flexibility to the food supply chain. In this work we present a modelling tool for the design, evaluation and comparison of food manufacturing processes that considers economic, environmental and social factors. The proposed method can be applied to a wide range of food products and is illustrated here using cereal porridge and sandwich bread production. We have assessed and compared three decentralised scenarios: “Home Manufacturing” (HM), “Food Incubator” (FI) and “Distributed Manufacturing” (DM) to centralised production –i.e. Single Plant (SP) and Multi Plant (MP) scenarios. Based on UK demand, SP is the most energy efficient and cheapest scenario in both cases, closely followed by HM and FI in cereal porridge production. DM could compete with SP assuming low management costs and savings on transportation/storage along the supply chain. For the case study on bread, the shorter margin of profit per unit makes decentralised scenarios less advantageous.

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