Abstract Operations Research/Management Science (OR/MS) has traditionally been defined as the discipline that applies advanced analytical methods to help make better and more informed decisions. The purpose of this paper is to present an analysis of the existing knowledge base of OR/MS research and practice using a proposed keywords-based approach. A conceptual structure is necessary in order to place in context the findings of our keyword analysis. Towards this we first present a classification scheme that relies on keywords that appeared in articles published in important OR/MS journals from 1990–2019 (over 82,000 articles). Our classification scheme applies a methodological approach towards keyword selection and its systematic classification, wherein approximately 1300 most frequently used keywords (in terms of cumulative percentage, these keywords and their derivations account for more than 45% of the approx. 290,000 keyword occurrences used by the authors to represent the content of their articles) were selected and organised in a classification scheme with seven top-level categories and multiple levels of sub-categories. The scheme identified the most commonly used keywords relating to OR/MS problems, modeling techniques and applications. Next, we use this proposed scheme to present an analysis of the last 30 years, in three distinct time periods, to show the changes in OR/MS literature. The contribution of the paper is thus twofold, (a) the development of a proposed discipline-based classification of keywords (like the ACM Computer Classification System and the AMS Mathematics Subject Classification), and (b) an analysis of OR/MS research and practice using the proposed classification.

中文翻译：

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使用建议的分类方案对 OR/MS 研究和实践（1990-2019）的现有知识库进行分类

摘要 运筹学/管理科学 (OR/MS) 传统上被定义为应用先进的分析方法来帮助做出更好、更明智的决策的学科。本文的目的是使用提议的基于关键字的方法对 OR/MS 研究和实践的现有知识库进行分析。为了将关键字分析的结果置于上下文中，概念结构是必要的。为此，我们首先提出了一个分类方案，该方案依赖于 1990 年至 2019 年间发表在重要 OR/MS 期刊（超过 82,000 篇文章）中的关键词。我们的分类方案对关键字选择及其系统分类采用方法论方法，其中大约 1300 个最常用的关键字（按累积百分比计算，这些关键字及其派生词占大约 45% 以上。作者用来表示文章内容的 290,000 个关键字被选择并组织在一个分类方案中，该方案具有七个顶级类别和多个级别的子类别。该方案确定了与 OR/MS 问题、建模技术和应用相关的最常用关键字。接下来，我们使用这个提议的方案在三个不同的时间段内对过去 30 年进行分析，以显示 OR/MS 文献中的变化。因此，该论文的贡献是双重的，(a) 提出了基于学科的关键词分类（如 ACM 计算机分类系统和 AMS 数学学科分类），