Internet of Perishable Logistics: Building Smart Fresh Food Supply Chain Networks
Internet of Perishable Logistics: Building Smart Fresh Food Supply Chain Networks
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DOI：
10.1109/access.2019.2894126
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发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Kant, Krishna
中科院分区：
文献类型：
--
作者：
Pal, Amitangshu;Kant, Krishna
计算机网络和物流系统是两个非常丰富的研究领域，它们几乎完全独立地发展，因为它们处理的是完全不同的实体信息包与包。然而，由于广泛的自动化和信息技术注入分销物流，以及需要提高运营的效率和可持续性，物流业试图采用网络互联网原则。在本文中，我们特别考虑了易腐商品的分销，如新鲜食品，易腐药品，血液等，在这种情况下，从而引入了易腐物流互联网（IoPL）的概念。我们提出了一个分层的体系结构模型IoPL建模后，网络互联网和展示它如何可以是有用的系统和层次建模的易腐物流业务，这是非常复杂的。我们还展示了IoPL和网络互联网之间的协同作用，并讨论了一些受这种协同作用启发的研究问题。我们还展示了如何利用分层模型来构建一个简化的分析框架，用于研究易腐产品的交付质量，运输效率（未使用的载体空间）和活动载体的数量（转化为运输服务的成本和碳足迹）之间的一些基本权衡。本文还指出了一些未来的研究挑战和方向，为一个更聪明的IoPL。
Computer networks and logistics systems are two very rich fields of study that have grown almost entirely separately since they deal with entirely different entities-information packets versus packages. However, driven by extensive automation and infusion of information technology into distribution logistics and need to improve the efficiency and sustainability of the operations, the logistics have attempted to adopt the cyber Internet principles. In this paper, we specifically consider the distribution of perishable commodities, such as fresh food, perishable pharmaceuticals, blood, and so on, in this context and thereby introduce the notion of the Internet of Perishable Logistics (IoPL). We propose a layered architecture model for IoPL modeled after the cyber Internet and show how it can be useful in systematic and hierarchical modeling of perishable logistics operations, which are extremely complex. We also show the synergies between IoPL and the cyber Internet and discuss a number of research issues inspired by such synergies. We also show how the layered model can be exploited to construct a simplified analytical framework for studying some basic tradeoffs between the delivered quality of the perishable product, transportation efficiency (in terms of unused carrier space), and the number of active carriers (which translates into cost and carbon footprint of the transportation service). This paper also points out a number of future research challenges and directions for a smarter IoPL.