Intelligent recommender platform for smart and sustainable scheduling and supply chain operations in the chemical industry

该研究将专注于为智能和可持续的调度和供应链运营开发智能推荐平台，这将包括开发旨在解决化工行业供应链和生产调度的RL框架，包括关注复杂，动态交互，不确定系统的适应性，人机交互以及针对包括财务和环境在内的多个同步目标。拟议的研究进一步旨在通过开发最先进的技术驱动的供应链和调度方法来实现供应链数字化，以提高化工行业的竞争力。

The research will focus on developing intelligent recommender platforms for smart and sustainable scheduling and supply chain operation.This will include developing RL frameworks which are designed to address supply chains and production scheduling in the chemical industry, including a focus on adaptability for complex, dynamically interacting, uncertain systems, human-machine interaction and target a number of simultaneous goals including financial and environmental ones. The proposed research further aims to digitalise supply chains by developing state-of-the-art technology-driven supply chains and scheduling methods to improve competitiveness in the chemical sector.