Increasing the effectiveness of food supply chain logistics through digital transformation

IF 0.4 Q4 MANAGEMENT
Kristina Sermuksnyte-Alesiuniene, Ž. Simanavičienė, D. Bickauske, S. Mosiiuk, I. Belova
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引用次数: 7

Abstract

During the COVID-19 crisis, there were many restrictions to transportation. Due to that, a significant disruption in the food supply chain has emerged. The transportation of the fresh food and maintaining the quality, from farm to the table or distributing and then collecting from the warehouses and delivering to the consumer, has become crucial. Technologies and especially IoT, have become the primary tool to fight it. The research objective is to analyze and create new knowledge about digital technologies used to improve and make more effective the food supply chain processes. An exploratory case study methodology helps to investigate a large consortium based on IoT technologies, implemented in pilot cases on farm level and measuring their performance over the period of four years. This is an interpretative study, and the method of semi-structured interviews and document review for collecting the data was used. The results show IoT-connected sensors and systems in food and beverage supply chain logistics offer real-time visibility and data-driven analytics, allowing stakeholders to improve performance, cut operating costs, conduct predictive maintenance to avoid downtime, and even decrease energy usage or reduce negative environmental impacts.
通过数字化转型提高食品供应链物流的有效性
在新冠肺炎危机期间,交通受到许多限制。因此,食品供应链出现了重大中断。新鲜食品的运输和保持质量,从农场到餐桌,或者从仓库分发,然后收集,再送到消费者手中,已经变得至关重要。技术,尤其是物联网,已经成为对抗它的主要工具。研究目标是分析和创造有关用于改进和提高食品供应链流程效率的数字技术的新知识。探索性案例研究方法有助于调查基于物联网技术的大型财团,在农场层面的试点案例中实施,并衡量其在四年内的表现。这是一项解释性研究,使用了半结构化访谈和文件审查的方法来收集数据。结果显示,食品和饮料供应链物流中的物联网传感器和系统提供了实时可见性和数据驱动的分析,使利益相关者能够提高性能、降低运营成本、进行预测性维护以避免停机,甚至减少能源使用或减少负面环境影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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自引率
20.00%
发文量
105
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