速冻食品冷链物流配送中断管理问题的实时建模方法

Focused on the interruption management problem in the cold chain delivery of frozen foods, this research introduces the theories of Artificial Intelligence and Knowledge Engineering, and aims to improve the instantaneity, the rationality, and the intelligence of the decision process in the interruption management and make a breakthrough in the real-time intelligent modeling process for the interruption management problem. It presents a knowledge representation method and a knowledge-based real-time modeling method for the interruption management problem in the cold chain delivery of frozen foods. Along with the construction of the cold chain delivery center in the city of Dalian, an application research will be concentrated on the interruption management problem in the cold chain delivery of frozen foods, and an intelligent decision support system for the problem will be developed..This research creates a way of the computer-enabled model generation and solution for the interruption management problem in the cold chain delivery of frozen foods, which is a kind of real-time and dynamic optimization problems. It is beneficial for the automatization of model generations, and the instantaneity and the self-adaptation for Optimization Theory to dynamic problems. The presented frozen foods quality-oriented modeling method for the interruption management problem in the cold chain delivery will greatly improve the security of the cold chain delivery, and the instantaneity, the rationality, and the intelligence of the interruption management. This research is propitious for the intersection of the theories of Optimization, Artificial Intelligence, and Knowledge Engineering, and the broadening of their application areas.

针对速冻食品冷链物流配送的中断管理难题，引入人工智能与知识工程理论，以提高中断管理的实时性、科学性和智能性为目标，以实现中断管理问题的实时智能建模为突破口，创建速冻食品冷链物流配送中断管理问题的知识表示方法、基于知识的实时建模方法，并结合大连市冷链物流中心的建设，开展速冻食品冷链物流配送中断管理的应用研究，构建冷链物流配送中断管理的智能决策支持系统。.本项研究为冷链物流配送中断管理一类实时动态优化问题建立由计算机生成并求解模型的途径，提高模型生成的自动化水平、及优化理论解决动态问题的实时性和自适应能力；以速冻食品品质为导向而创建的冷链物流配送中断管理问题的建模理论方法，将大大提高冷链物流配送过程的安全性、及其中断管理的实时性、科学性、及智能性，有利于促进优化理论与人工智能、知识工程等学科的交叉与渗透，并拓宽其应用领域。

针对冷链物流配送车辆调度这一难题，先后研究了特定条件下的冷链物流车辆调度模型及算法、典型中断事件发生后的问题救援模型与算法、中断管理问题的智能建模方法、及智能决策支持系统。将人工调度经验引入问题的求解过程，建立了冷链物流配送车辆调度问题的模型、算法、及中断管理问题的知识表示方法、基于知识的实时建模方法，实现了该问题从“初始调度方案中断救援方案智能决策支持”的全方位理论方法和软件系统，为其进一步应用推广创造了条件。..项目团队在包含有《Computers & Industrial Engineering》、《Expert Systems with Applications》、《Journal of the Operational Research Society》、《系统工程理论与实践》、《管理科学》、《系统工程学报》、《系统管理学报》等在内的运筹与管理领域的国内外权威期刊上发表了具有较高学术质量的期刊论文12篇（SCI收录5篇，其中JCR一区论文2篇，二区论文1篇，三区论文2篇），已投稿《Transportation Research Part C》、《Transport Policy》两篇论文。取得了较好的研究成果。..本项研究为冷链物流配送中断管理一类实时动态优化问题建立由计算机生成并求解模型的途径，提高模型生成的自动化水平、及优化理论解决动态问题的实时性和自适应能力；以冷链食品品质为导向而创建的冷链物流配送中断管理问题的建模理论方法，将大大提高冷链物流配送过程的安全性、及其中断管理的实时性、科学性、及智能性，有利于促进优化理论与人工智能、知识工程等学科的交叉与渗透，并拓宽其应用领域。