Abstract
This paper is to develop an integrated system for task scheduling in projects management, leveraging advanced technologies of large language model (LLM) and mixed integer linear programming (MILP). The proposed design focuses on nature language interaction and integration, with the ultimate objective of automating task scheduling for enhanced project efficiency. The proposed solution comprises three main steps: generative models for user to input the task requests, MILP for solving the optimization problem, and project schedule results presentation. The project highlights the future-oriented LLM-driven optimization trends in project management and gives recommendations for future investigations in hybrids, user-friendly task scheduling solutions
| Original language | English |
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| Title of host publication | 2025 30th International Conference on Automation and Computing (ICAC) |
| Place of Publication | Piscataway, US |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331525453 |
| ISBN (Print) | 9798331525460 |
| DOIs | |
| Publication status | Published - 27 Aug 2025 |
| Event | The 30th International Conference on Automation and Computing (ICAC 2025) - University of Loughborough, Loughborough, United Kingdom Duration: 27 Aug 2025 → 29 Aug 2025 https://cacsuk.co.uk/icac/ |
Conference
| Conference | The 30th International Conference on Automation and Computing (ICAC 2025) |
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| Country/Territory | United Kingdom |
| City | Loughborough |
| Period | 27/08/25 → 29/08/25 |
| Internet address |
Keywords
- Task Scheduling
- Construction Projects
- Integrated System
- Natural Language Processing (NLP)
- Mixed Integer Linear Programming (MILP)