Research interest: scheduling with uncertainty and precedence constraints, system testing, discrete optimization, supply chain scheduling.

Supply chain scheduling models have attracted a great deal of attention in the past decades. In these models, i.e., the integrated production-distribution models, decisions are considered simultaneously such that the combined plans are more advantageous than the plans resolved in a hierarchical planning process. In the meantime, decisions usually pertain to tangible dependency relationships in different stages of the supply chain, i.e., in the production process, the setup times and costs of resources depend on the sequence they are processed; in a multi-level production process, the output of a production level is one of the inputs of the next-level production; in a multi-mode distribution planning, the delivery time mainly depends on the type of vehicles undertaking the transportation assignment, etc. Considering such decencies in their corresponding stages of the supply chain might also influence the scheduling decisions made in other stages, and vice versa. The traditional models fail to describe these dependencies in an integrated framework. The definition of dependencies arising in the distribution and logistic stage and their impact on the entire supply chain is still vague. Regarding this topic, the adapted modeling approach, solution method development and practical applications should deserve a dedicated study.

存在依赖问题的供应链调度

研究兴趣:具有不确定性和优先约束的调度、系统测试、离散优化、供应链调度等。

在过去的几十年中，供应链调度模型引起了广泛的关注。在这些模型中，例如集成生产调度模型，同时考虑多种决策，如此一来，联合计划比分层计划更有利。同时，在供应链的不同阶段，决策通常涉及到切实的依赖关系。例如，在生产过程中，资源的占用时间和费用取决于加工的顺序；在多层次的生产过程，上一级的输出是下一级生产的投入；在多模式调度规划中，交付时间主要取决于承担运输任务的车辆类型等。若考虑供应链中相应阶段的情况则可能影响其他阶段的调度决策，反之亦然。传统模型无法描述集成框架中的这些依赖关系。依赖性的定义产生于分配和物流阶段，它对整个供应链的影响仍然是模糊的。关于这个主题，应该对适应性建模方法、解决方案的开发和实际应用进行专门的研究。