How Robotics is Shaping Digital Logistics and Supply Chain Management: An Ongoing Call for Research
分析了硬件机器人在物流履行过程中的应用，从显式编程到生成式机器学习的演变，并探讨了采用机器人带来的挑战，为物流和供应链管理研究者提供了未来研究方向。
ABSTRACT The Journal of Business Logistics has been the top location for publishing logistics and supply chain‐related technological research for over forty years. With digital transformation, reshoring of manufacturing, labor shortages, decreasing birth rates, and aging workforces, companies are increasingly adopting artificial intelligence‐supported robotics to increase the ability of supply chains to react quickly and effectively to changes in customer demand, market conditions, or disruptions. This paper analyzes the use of hardware robots across the logistics fulfillment process. The study addresses the evolution of robotic training from explicit programming to machine learning and continues with a detailed discussion of generative machine learning. We then provide an overview of key hardware robots driven by generative machine learning models that are used in the fulfillment process. The paper examines the challenges that robot adoption presents to organizations and concludes with explicit directions for further research using the Theory of Resource Orchestration.