不确定条件下应急管理人力供应链多功能资源配置鲁棒优化问题

在紧急甚至灾难状态下,应急管理物资及人力需求都是爆发性的,为了满足应急状况的不确定需求,实现应急人力的合理管理和配置,借鉴成熟的供应链理论,强化应急管理人力供应链的协调配置能力有很大的理论及现实意义.本文简述了人力供应链的发展,重点讨论应急状态下连续性的人力服务需求.需求到来及其长度都是不确定的,多能力的专业人员应当被合理配置以优化服务.在本文中,我们提出了一个不确定条件下的网络优化模型,强调了多能力专业人员的资源分配.随机规划模型及鲁棒优化技术将被运用来处理不确定需求及网络优化,我们也将讨论其他特殊情况如服务取消,服务延长,提前结束等,我们的模型将有较为普遍的适应性.

Multi-resource robust optimization of emergency human resource supply chain management under uncertainty

In emergency or even disaster state, materials and manpower needs are explosive. In order to meet the uncertain demand in emergency situation, to achieve intelligent emergency manpower management and allocation, learning from mature supply chain theory to strengthen coordination capability emergency manpower supply chain management has great theoretical and practical significance. This paper briefly introduced development of manpower supply chain management, emphasizing consecutive manpower service demand under emergency situation. The arrival demands and lengths of service are stochastic in nature. Multifunctional manpower should be properly allocated to maximize the service. In this paper, we propose a network optimization model for emergency service under an uncertain environment; multifunctional manpower capacity allocation is emphasized. The network optimization is in a stochastic programming formulation so as to capture the randomness of the unknown demand. A novel approach of robust optimization techniques is applied to solve the problem. We also discuss some special issues such as cancellations, extended continuance and early ends. We show our proposed model can be modified to adopt these strategic considerations.