基于反向验证的RSC码编码参数盲识别

针对Turbo码编码中应用的RSC编码器盲识别问题,提出一种反向验证的方法,对其参数进行识别分析。通过对RSC编码器参数进行遍历估计,重新输入码字序列,将得到的码字序列与原来的输出序列进行对比,找出最优的参数组合,完成对RSC编码参数的识别。仿真实验表明,该方法能够有效完成对RSC编码器的参数识别,特别在误码率为0.3时,依然能够达到识别效果,具有较好的容错性能。     

Bullwhip and reverse bullwhip effects under the rationing game

When an unreliable supplier serves multiple retailers, the retailers may compete with each other by inflating their order quantities in order to obtain their desired allocation from the supplier, a behavior known as the rationing game. We introduce capacity information sharing and a capacity reservation mechanism in the rationing game and show that a Nash equilibrium always exists. Moreover, we provide conditions guaranteeing the existence of the reverse bullwhip effect upstream, a consequence of the disruption caused by the supplier. In contrast, we also provide conditions under which the bullwhip effect does not exist. In addition, we show that a smaller unit reservation payment leads to more bullwhip and reverse bullwhip effects, while a large unit underage cost results in a more severe bullwhip effect. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 203–216, 2017     

Optimally scheduling interfering and non‐interfering cranes

This article treats the problem of scheduling multiple cranes processing jobs along a line, where cranes are divided into different groups and only cranes in the same group can interfere with each other. Such crane scheduling problems occur, for example, at indented berths or in container yards where double rail‐mounted gantry cranes stack containers such that cranes of the same size can interfere with each other but small cranes can pass underneath larger ones. We propose a novel algorithm based on Benders decomposition to solve this problem to optimality. In a computational study, it is shown that this algorithm solves small and medium‐sized instances and even many large instances within a few seconds or minutes. Moreover, it improves several best known solutions from the literature with regard to the simpler problem version with only one crane group. We also look into whether investment in more complicated crane configurations with multiple crane groups is actually worthwhile.     

两栖重型合成旅登陆作战后勤保障

两栖重型合成旅是登陆作战的拳头力量,其后勤保障能力的强弱对战斗力生成至关重要,必须认清两栖重型合成旅登陆作战的地位作用、保障原则和要求,构建与信息化条件下登陆作战相适应的精确保障模式,准确把握登陆作战各阶段的保障重心,确保两栖重型合成旅登陆作战后勤保障顺利实施。     

A stochastic air combat logistics decision model for Blue versus Red opposition

Technologically advanced aircraft rely on robust and responsive logistics systems to ensure a high state of operational readiness. This paper fills a critical gap in the literature for combat models by closely relating effectiveness of the logistics system to determinants of success in combat. We present a stochastic diffusion model of an aerial battle between Blue and Red forces. The number of aircraft of Blue forces aloft and ready to be aloft on combat missions is limited by the maximum number of assigned aircraft, the reliability of aircraft subsystems, and the logistic system's ability to repair and replenish those subsystems. Our parsimonious model can illustrate important trade‐offs between logistics decision variables and operational success.     

军事物流服务商准入标准设置和甄选研究综述

军事物流服务商甄选研究是新军事变革下供应商管理发展的重要方向,是有效完成后勤保障任务、顺利实施作战行动的重要保证。基于此,本文从供应商关系理论和发展、物流服务商指标体系选择以及结合其他方法对物流服务商甄选三个方面对国内外研究现状进行总结概述,对整个军事物流服务商的选择过程加以研究,将其科学客观地运用于军事物流服务商选择的实际操作中,对于加强军事物流服务商需求管理、提高选择质效以及优化工作流程具有重大意义。同时,分析现有研究成果的不足,并对其未来发展前景提出展望,针对性地提出了军事物流服务商初步准入标准以及后续复选的方法,为军事物流服务商选择体系的完善提供参考。     

“互联网+”在后勤保障模式创新中的应用

本文围绕"互联网+"理念在后勤保障模式创新中建立的优势,提出了物联网、大数据、云计算应用于物流仓储、需求分析、保障计划的构想,将在实现实时感知、破除需求迷雾、促进智能决策等方面发挥重要作用。     

【专题】美军破障行动的力量运用评析

在地面作战中,面对敌方设置的障碍如何组织破障力量实施开辟通路行动一直是各国军队面临的难题。美军作为信息化部队,在破障力量的作战实际应用上经验丰富。研究美军破障力量的组织编成以及战法运用,能够对军队以战领训,研透作战任务、作战对手及作战环境,加强使命课题专攻精练并有效管控危机,甚至可为军队未来遏制战争、打赢战争提供宝贵经验,具有极其重要的借鉴意义。本文通过研究美军2015条令战略及美军合成兵种营野战手册等文件,对美军破障力量的组织编成和战法运用进行了剖析解读。研究表明,美军在破障行动中主要遵循情报处理、破障行动基本点、破障行动组织、关键性集中及战场控制等五大原则,在战斗编组上主要是以支援队、破障队和突击队三个基本编组进行针对性组织,模块化程度非常高。     

Knowledge-oriented modeling for influencing factors of battle damage in military industrial logistics: An integrated method

Modeling influencing factors of battle damage is one of essential works in implementing military industrial logistics simulation to explore battle damage laws knowledge. However, one of key challenges in designing the simulation system could be how to reasonably determine simulation model input and build a bridge to link battle damage model and battle damage laws knowledge. In this paper, we propose a novel knowledge-oriented modeling method for influencing factors of battle damage in military industrial logistics, integrating conceptual analysis, conceptual modeling, quantitative modeling and simulation implementation. We conceptualize influencing factors of battle damage by using the principle of hierarchical decomposition, thus classifying the related battle damage knowledge logically. Then, we construct the conceptual model of influencing factors of battle damage by using Entity-Relationship approach, thus describing their interactions reasonably. Subsequently, we extract the important influencing factors by using social network analysis, thus evaluating their importance quantitatively and further clarifying the elements of simulation. Finally, we develop an agent-based military industry logistics simulation system by taking the modeling results on influencing factors of battle damage as simulation model input, and obtain simulation model output, i.e., new battle damage laws knowledge, thus verifying feasibility and effectiveness of the proposed method. The results show that this method can be used to support human decision-making and action.     

战疫视角下区块链推动应急物流发展研究

应急物流是应对突发事件的重要支撑,也在此次抗击疫情中发挥了重要作用.区块链技术的特点与应急物流有许多内在的契合点,有利于推动实现高效、可信、智能化的保障,提升应急物流建设水平,助力疫情防控与应急管理.本文基于疫情防控物资保障视角,着眼保障过程、信任机制和运行特点,采取理论论证与案例结合、技术分析与应用结合的方法,论证区...