Employee skills are seen as a main driver of competitive advantages of enterprises. This article provides a state-of-the-art overview of research related to skill management in the field of operational research. For this purpose, ‘skill management’ is used as an umbrella term to integrate the different quantitative approaches found in this field. The structured literature review is based on six keywords and includes articles published between 1998 and 2022 in nine major operational research and operational management journals (European Journal of Operational Research, International Journal of Production Research, International Journal of Production Economics, Management Science, Operations Research, Omega, Journal of Operations Management, Production and Operations Management, and Manufacturing & Service Operations Management). Further relevant literature considering skill-related topics and machine scheduling problems is also discussed. The publications included in this review are analyzed in depth with regard to theoretical results on employee skill development. Moreover, a unified notation is introduced that covers different models, machine environments, and objectives. To the best of our knowledge, this is the first review where learning, forgetting, and training aspects are jointly considered. Moreover, the review also highlights substantial research gaps and avenues for future research.

中文翻译：

---

调度领域的技能发展：结构化文献综述

员工技能被视为企业竞争优势的主要驱动力。本文提供了运筹学领域与技能管理相关的最新研究概述。为此，“技能管理”被用作一个总括术语来整合该领域中发现的不同定量方法。结构化文献综述基于六个关键词，包括 1998 年至 2022 年在 9 个主要运筹学和运营管理期刊（European Journal of Operations Research、International Journal of Production Research、International Journal of Production Economics、Management Science、Operations Research）上发表的文章、欧米茄、运营管理杂志、生产和运营管理以及制造和服务运营管理）。还讨论了考虑技能相关主题和机器调度问题的其他相关文献。本综述中包含的出版物对员工技能发展的理论结果进行了深入分析。此外，还引入了涵盖不同模型、机器环境和目标的统一符号。据我们所知，这是第一次综合考虑学习、遗忘和训练方面的评论。此外，该评论还强调了巨大的研究差距和未来研究的途径。