Optimization models and algorithms for integrated production planning problems

集成生产计划问题的优化模型和算法

• 批准号: 371966-2009
• 负责人: Jans, Raf
• 金额: $ 1.46万
• 依托单位: HEC Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=435042
• 关键词: Optimization; models; algorithms; integrated; production

The proposed research will focus on modeling and solving integrated production planning problems. In production planning problems, one has to determine the timing and level of production to satisfy a specific demand over time. These production planning models can be extended to incorporate further operational and scheduling aspects or can be integrated with other planning problems upstream or downstream in the supply chain, e.g. the routing decisions for the distribution planning. Such integrated models will lead to globally more cost efficient solutions and a better use of the scarce resources compared to the situation where two linked processes are optimized separately. For these integrated production planning methods, we want to 1) obtain a better understanding of the problem and a good model representation; 2) develop optimization techniques to solve such integrated problems, and 3) generate insights into the cost effectiveness of these integrated models by comparing them to the outcomes of a hierarchical optimization approach.

提出的研究将集中在建模和解决集成生产计划问题。在生产计划问题中，必须确定生产的时间和水平，以满足一段时间内的特定需求。这些生产计划模型可以扩展到进一步的操作和调度方面，或者可以与供应链上游或下游的其他计划问题集成，例如分配计划的路线决策。与单独优化两个相关流程的情况相比，这种综合模式将导致全球范围内更具成本效益的解决方案，并更好地利用稀缺资源。对于这些集成的生产计划方法，我们希望1)获得对问题更好的理解和良好的模型表示；2)开发优化技术来解决此类集成问题，3)通过将这些集成模型与分层优化方法的结果进行比较，从而深入了解这些集成模型的成本效益。