基于云服务的考虑预期调配的应急物资储备策略

储备应急物资是应对突发灾害的有效手段之一。为了满足以人为本、维护稳定和统筹协调的物资储备原则，在储备不足情况下，利用云服务模式统一调配物资。根据应急系统内各储备点的人口覆盖比例和物资预期需求量，以物资储备的公平效用和预期调配成本为目标，构建基于云服务的考虑预期调配的应急物资储备模型，并设计改进的非支配排序遗传算法（NSGA-II）对模型求解。应用该模型对我国应急物资储备系统进行优化配置，确定不同偏好下各储备点的物资配置量。对物资储备总量进行了灵敏度分析，结果表明：物资的购置成本和单位重量是储备总量影响总支出和预期调配成本的决定因素；储备总量的增加会降低预期调配成本，且当购置成本的增加量小于预期调配成本的减少量时，总支出会随着储备总量的增加而减少，直到减少的总支出达到最大值时，得到储备总量的最优值。     

考虑作业空间干涉的工程项目时间-成本均衡优化研究

工程现场的空间资源是制约工程活动开展的重要影响因素。本文研究考虑空间干涉的工程调度优化问题，定义作业空间干涉的度量方式和作业效率函数，建立工程调度的工期-成本双目标优化模型。针对问题特征设计相对延迟编码方式和解码机制，采用NSGA-II算法求解模型。以某工程案例为研究对象，通过与传统方法对比实验验证了模型和算法的有效性，接着分析了算法的最大延迟时间参数对算法性能的影响。实验结果表明，本文提出的模型和算法能有效提升工程进度和成本目标。     

Evaluation of the economic statistical design of the multivariate T2 control chart with multiple variable sampling intervals scheme: NSGA-II approach

The economic and statistical merits of a multiple variable sampling intervals scheme are studied. The problem is formulated as a double-objective optimization problem with the adjusted average time to signal as the statistical objective and the expected cost per hour as the economic objective. Bai and Lee's [An economic design of variable sampling interval ¯X control charts. Int J Prod Econ. 1998;54:57–64] economic model is considered. Then we find the Pareto-optimal designs in which the two objectives are minimized simultaneously by using the non-dominated sorting genetic algorithm. Through an illustrative example, the advantages of the proposed approach are shown by providing a list of viable optimal solutions and graphical representations, which indicate the advantage of flexibility and adaptability of our approach.