考虑多资源和安全约束的舰载机保障作业调度理论与方法研究

As a class of novel and unexplored scheduling problem, how to schedule carrier-based aircraft maintenance operation safely and efficiently is always the core technology of aircraft carrier development in the world, which has also attracted more and more attention from both academia and industry. Currently, the domestic and foreign research achievements on this topic mainly focus on the flexible flow shop scheduling model, genetic algorithm, heuristic rules, static and deterministic scheduling, etc., while there are few research works about modeling theory and optimization methods of carrier-based aircraft maintenance operation scheduling considering multi-resource, safety constraints and uncertainty. This proposal aims to investigate the carrier-based aircraft maintenance operation scheduling problem systematically and deeply. In this proposal, we will propose the scheduling model of carrier-based aircraft maintenance operation considering multi-resource and safety constraints via the flexible flow shop scheduling model; by incorporating the features of multi-resource and security constraints, devlop learning mechanism-based Jaya algorithm to schedule carrier-based aircraft maintenance operation optimally; by modeling the strategy structure of server selection, fault disposal and service sequence, together with designing heuristic rules and optimizing strategy parameters, construct the robust rescheduling strategy of carrier-based aircraft maintenance operation considering uncertainty. The research achievements can not only enrich the existing scheduling theory, but also help to promote the engineering applications of optimization theory and method.

作为一类新兴且尚未被充分探索的调度问题，如何安全且高效地进行舰载机保障作业调度一直是世界各国航母研制的核心技术，也吸引了当前学术界和工业界越来越多的关注。目前国内外关于这方面的研究成果主要围绕柔性流水车间调度模型、遗传算法、启发式规则、静态和确定性调度等主题展开，考虑多资源、安全约束和不确定性的舰载机保障作业调度建模理论和优化方法的研究工作相对欠缺。本项目旨在针对舰载机保障作业调度问题展开系统且深入的研究：基于柔性流水车间调度模型建立考虑多资源和安全约束的舰载机保障作业调度模型；结合多资源和安全约束等问题特征开发基于学习机制的舰载机保障作业Jaya群智能优化调度算法；从节点选择、故障处理和服务顺序等方面进行策略结构建模、启发式规则设计和策略参数优化，构建考虑不确定性的舰载机保障作业鲁棒重调度策略。研究成果不仅能够丰富现有的调度理论，而且有助于推进优化理论和方法的工程应用。

作为一类新兴且尚未被充分探索的调度问题，如何安全且高效地进行舰载机保障作业调度一直是世界各国航母研制的核心技术，也吸引了当前学术界和工业界越来越多的关注。本项目围绕舰载机保障作业调度问题展开研究，主要包括：1）建立舰载机保障作业优化调度模型；2）设计基于学习机制的舰载机保障作业群智能优化调度算法；3）探索考虑不确定性的舰载机保障作业调度建模与算法。研究成果不仅能够丰富现有的调度理论，而且有助于推进优化理论和方法的工程应用。