大数据时代下,生产经营管理研究将如何发展

Q. Feng, J. Shanthikumar
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引用次数: 138

摘要

我们生活在一个数据量大、速度快、种类多的时代。大数据和技术正在重塑我们的生活和商业。我们的研究不可避免地需要跟上这些变化。在这篇短文中,我们将重点关注供应链管理的两个方面,即需求管理和制造。我们认为,虽然计算机科学和工程学者对这两个领域的研究迅速增长,但生产和运营管理社会的发展还不够。我们相信,我们的领域拥有专业知识和人才,可以推动需求管理和制造(当然还有许多其他领域)的理论和实践在独特的维度上取得进步。我们总结了一些与大数据相关的概念,并提出了几个原型模型来展示这些概念如何导致我们对研究的重新思考。我们的目的是为大数据时代生产经营管理的新研究产生兴趣和指导方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Research in Production and Operations Management May Evolve in the Era of Big Data
We are living in an era in which data is generated in huge volume with high velocity and variety. Big Data and technology are reshaping our life and business. Our research inevitably needs to catch up with these changes. In this short essay, we focus on two aspects of supply chain management, namely, demand management and manufacturing. We feel that, while rapidly growing research on these two areas is contributed by scholars in computer science and engineering, the developments made by production and operations management society have been insufficient. We believe that our field has the expertise and talent to push for advancements in the theory and practice of demand management and manufacturing (of course, among many other areas) along unique dimensions. We summarize some relevant concepts emerged with Big Data and present several prototype models to demonstrate how these concepts can lead to rethinking of our research. Our intention is to generate interests and guide directions for new research in production and operations management in the era of Big Data.
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