机器人会接管供应链吗？基于Agent的供应链自动化
Will bots take over the supply chain? Revisiting Agent-based supply chain automation
摘要：
基于代理的系统有能力融合来自许多分布式源的信息，并更快地创建更好的计划。这一特性使得基于代理的系统自然适合解决供应链管理（SCM）中的挑战。虽然自2000年初以来就提出了基于代理人的供应链系统，但工业界对这种系统的采用一直滞后。引用的原因包括技术不成熟，缺乏与供应链信息系统的互操作性，以及对人工智能（AI）缺乏信任。在本文中，我们重新审视了基于代理的供应链和审查的最先进的国家。我们发现，基于代理的技术已经成熟，和其他支持技术，渗透供应链，填补空白，离开的概念适用于更广泛的功能。例如，物联网技术的普及帮助代理“感知”供应链中的事务状态，并为自动化开辟了新的可能性。数字分类账有助于在第三方之间安全地传输数据，使基于代理的信息共享成为可能，而无需集成企业资源规划（ERP）系统。智能体中的学习功能使智能体能够超越自动化，走向自治。我们通过概念化基于代理的供应链框架，审查其组成部分，并强调在前进中需要解决的研究挑战，注意到这种融合效应。
英文摘要：
Agent-based systems have the capability to fuse information from many distributed sources and create better plans faster. This feature makes agent-based systems naturally suitable to address the challenges in Supply Chain Management (SCM). Although agent-based supply chains systems have been proposed since early 2000; industrial uptake of them has been lagging. The reasons quoted include the immaturity of the technology, a lack of interoperability with supply chain information systems, and a lack of trust in Artificial Intelligence (AI). In this paper, we revisit the agent-based supply chain and review the state of the art. We find that agent-based technology has matured, and other supporting technologies that are penetrating supply chains; are filling in gaps, leaving the concept applicable to a wider range of functions. For example, the ubiquity of IoT technology helps agents "sense" the state of affairs in a supply chain and opens up new possibilities for automation. Digital ledgers help securely transfer data between third parties, making agent-based information sharing possible, without the need to integrate Enterprise Resource Planning (ERP) systems. Learning functionality in agents enables agents to move beyond automation and towards autonomy. We note this convergence effect through conceptualising an agent-based supply chain framework, reviewing its components, and highlighting research challenges that need to be addressed in moving forward.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
