高层民用建筑火灾危害及其预防

本文着重分析高层民用建筑火灾的特点及危害,提出建筑防火设计、施工、管理等方面对策。     

深圳星河世纪结构方案优选

高楼结构设计,包含结构方案选定、构件内力计算、杆件和节点构造措施等三 部分内容。工程实践经验表明,高楼结构设计能否做到安全、经济、合理,关键在于选定的结 构方案是否恰当。围绕结构方案优化这一主题,探讨了以深圳星河世纪A栋办公楼为例, 就其有关的安全、经济、合理各方面进行系统的阐述,以供同类建筑在确定结构方案时参考。     

论军事建筑的审美倾向

随着社会的进步和文明程度的提高,军营文化与部队精神文明不断向前发展,其中,军事建筑的审美标准和文化特质有了新的内涵。从建筑美学的角度探讨了当前军事建筑的审美倾向,并通过实例分析提出了军事建筑的创作与批评应当坚持“以人为本”的原则,对当前部队营区营房的建设具有一定的指导意义。     

谈自动消防设施在高层建筑火灾防控中的作用

针对当前高层建筑火灾形势,分析了消防部队扑救高层建筑火灾面临的困难,结合正反两方面案例和消防工作实践,从完善建筑消防设施早期预警、自动灭火、防火分隔、引导疏散、辅助内攻五大功能入手,创新提出了以提升单位建筑消防设施管理水平和建筑消防设施完好率为主要目标的建筑消防设施标准化、标识化、规范化＂三化＂管理模式,为破解高层建筑火灾扑救这一世界性消防难题提供了新的思路。     

Analysis and optimal design of discrete order picking technologies along a line

Order picking accounts for most of the operating expense of a typical distribution center, and thus is often considered the most critical function of a supply chain. In discrete order picking a single worker walks to pick all the items necessary to fulfill a single customer order. Discrete order picking is common not only because of its simplicity and reliability, but also because of its ability to pick orders quickly upon receipt, and thus is commonly used by e‐commerce operations. There are two primary ways to reduce the cost (walking distance required) of the order picking system. First is through the use of technology—conveyor systems and/or the ability to transmit order information to pickers via mobile units. Second is through the design—where best to locate depots (where workers receive pick lists and deposit completed orders) and how best to lay out the product. We build a stochastic model to compare three configurations of different technology requirements: single‐depot, dual‐depot, and no‐depot. For each configuration we explore the optimal design. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

Capacitated warehouse location model with risk pooling

In this article, we introduce the capacitated warehouse location model with risk pooling (CLMRP), which captures the interdependence between capacity issues and the inventory management at the warehouses. The CLMRP models a logistics system in which a single plant ships one type of product to a set of retailers, each with an uncertain demand. Warehouses serve as the direct intermediary between the plant and the retailers for the shipment of the product and also retain safety stock to provide appropriate service levels to the retailers. The CLMRP minimizes the sum of the fixed facility location, transportation, and inventory carrying costs. The model simultaneously determines warehouse locations, shipment sizes from the plant to the warehouses, the working inventory, and safety stock levels at the warehouses and the assignment of retailers to the warehouses. The costs at each warehouse exhibit initially economies of scale and then an exponential increase due to the capacity limitations. We show that this problem can be formulated as a nonlinear integer program in which the objective function is neither concave nor convex. A Lagrangian relaxation solution algorithm is proposed. The Lagrangian subproblem is also a nonlinear integer program. An efficient algorithm is developed for the linear relaxation of this subproblem. The Lagrangian relaxation algorithm provides near‐optimal solutions with reasonable computational requirements for large problem instances. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

推进党的建设伟大工程的一项重要举措

反腐倡廉建设与思想建设、组织建设、作风建设、制度建设并列为党的五大建设,是党的十七大以改革创新精神推进党的建设伟大工程的重要举措。加强军队党的反腐倡廉建设,必须以胡主席关于"三个更加"的重要思想为指导,建立健全反腐倡廉建设的长效机制,保证军队党的反腐倡廉建设健康、深入、持续发展。     

基于遗传算法的虚拟物流联合库存控制研究

针对随机需求条件下的虚拟物流库存控制问题进行了深入研究，提出了一种新的联合库存控制策略——（T，S，s）策略，建立了相应的库存成本模型，并构造遗传算法对模型进行求解。结果分析表明，所提出的（T，S，S）联合库存控制策略是有效的。     

面向AL的战略级仓库备件供应优化方法

针对维修备件供应保障费用较高、管理难度较大等问题,借助自主式保障(AL)理念设计了面向AL的维修备件调度与供应优化框架,提出面向AL的战略级仓库维修备件供应优化思路。在此基础上,为了解决战略级仓库备件供应路线规划不科学、弥补半定量经验方法不足的情况,建立了带混合时间窗的多供应地——多需求地维修备件供应路线优化模型,设计了求解模型的GA-SA混合算法。最后运用算例进行了说明。     

Scheduling combat logistics force replenishments at sea for the US Navy

The Replenishment at Sea Planner (RASP) is saving the U.S. Navy millions of dollars a year by reducing fuel consumption of its Combat Logistics Force (CLF). CLF shuttle supply ships deploy from ports to rendezvous with underway U.S. combatants and those of coalition partners. The overwhelming commodity transferred is fuel, ship‐to‐ship by hoses, while other important packaged goods and spare parts are high‐lined, or helicoptered between ships. The U.S. Navy is organized in large areas of responsibility called numbered fleets, and within each of these a scheduler must promulgate a daily forecast of CLF shuttle operations. The operational planning horizon extends out several weeks, or as far into the future as we can forecast demand. We solve RASP with integer linear optimization and a purpose‐built heuristic. RASP plans Replenishment‐at‐Sea (RAS) events with 4‐hour (Navy watch) time fidelity. For five years, RASP has served two purposes: (1) it helps schedulers generate a daily schedule and animates it using Google Earth, and (2) it automates reports command‐to‐ship messages that are essential to keep this complex logistics system operating.