SMARTAPS: Tool-augmented LLMs for Operations Management
Fuente:
arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866918103141580800 |
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| author | Yu, Timothy Tin Long Mostajabdaveh, Mahdi Byusa, Jabo Serge Ramamonjison, Rindra Carenini, Giuseppe Mao, Kun Zhou, Zirui Zhang, Yong |
| author_facet | Yu, Timothy Tin Long Mostajabdaveh, Mahdi Byusa, Jabo Serge Ramamonjison, Rindra Carenini, Giuseppe Mao, Kun Zhou, Zirui Zhang, Yong |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_17927 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SMARTAPS: Tool-augmented LLMs for Operations Management Yu, Timothy Tin Long Mostajabdaveh, Mahdi Byusa, Jabo Serge Ramamonjison, Rindra Carenini, Giuseppe Mao, Kun Zhou, Zirui Zhang, Yong Artificial Intelligence 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 |
| title | SMARTAPS: Tool-augmented LLMs for Operations Management |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2507.17927 |