用对话式AI降低企业排产系统使用门槛
SMARTAPS: Tool-augmented LLMs for Operations Management
- 基于工具增强的LLM构建对话接口，让非专家也能操作排产系统
- 支持自然语言查询、反事实推演和场景分析，提升规划灵活性
- 适合供应链规划人员快速上手，无需依赖昂贵顾问
大型语言模型（LLMs）为改善用户与现实应用中传统算法和工具的交互提供了新可能。先进计划系统（APS）是一种复杂的软件，利用优化技术帮助运营规划者制定、解读和修改运营计划。尽管价值显著，但许多客户因持续的咨询定制和维护成本而难以负担。为回应供应链规划者对更易用的APS的需求，我们提出SmartAPS，一个基于工具增强型LLM的对话系统。该系统为运营规划者提供直观的自然语言聊天界面，支持信息查询、反事实推理、建议生成和情景分析，以更好地管理运营。系统演示视频已发布：https://youtu.be/KtIrJjlDbyw
原文摘要 · Abstract (English)
Large language models (LLMs) present intriguing opportunities to enhance user interaction with traditional algorithms and tools in real-world applications. An advanced planning system (APS) is a sophisticated software that leverages optimization to help operations planners create, interpret, and modify an operational plan. While highly beneficial, many customers are priced out of using an APS due to the ongoing costs of consultants responsible for customization and maintenance. To address the need for a more accessible APS expressed by supply chain planners, we present SmartAPS, a conversational system built on a tool-augmented LLM. Our system provides operations planners with an intuitive natural language chat interface, allowing them to query information, perform counterfactual reasoning, receive recommendations, and execute scenario analysis to better manage their operation. A short video demonstrating the system has been released: https://youtu.be/KtIrJjlDbyw
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。