分析如何改善跨国公司的物流和供应链&来自欧美的视角

M. Sazu, S. Jahan
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引用次数: 34

摘要

这项研究的重点是大数据分析在全球跨国公司运输物流中的作用。它展示了当前供应链实践的新机会,同时增加了卓越的运营和价值。对来自美洲和欧洲的跨国公司的员工进行了一项调查。为了对调查数据进行统计调查,使用了方程模型。结果表明,需求管理、卖家评级和卖家满意度是最重要的因素。该研究还发现,分析会影响供应链行业的效率、卓越运营、客户服务和成本节约。目标是通过提高客户满意度、可见性和可见性来缩小需求管理和供应链管理之间的差距。大数据可以为公司带来巨大的附加值和货币收益,并将很快在整个行业普及。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HOW ANALYTICS CAN IMPROVE LOGISTICS AND SUPPLY CHAIN IN MULTINATIONAL COMPANIES: PERSPECTIVES FROM EUROPE AND AMERICA
The research is focused on the role of big data analytics in logistics of transportation in multinational companies across the world. It shows new opportunities for current supply chain practices, while adding operational excellence and value. A survey was carried out among staff members of multinational companies from the Americas, and Europe. For the statistical investigation of survey data, an equation modeling was used. Results reveal that demand management, seller rating, and vendor satisfaction are the most important factors. The study also found that analytics affect efficiency, operational excellence, customer service, and cost savings in the supply chain industry. The goal is to reduce the gap between demand management and supply chain management by improving customer satisfaction, visibility, and visibility. The big data can produce substantial value added and monetary gains for companies and will quickly become common throughout the industry.
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