基于PERT技术的人员调度研究

人员成本占软件项目总成本的大部分,但是现有的Pert技术未能体现人员计划管理这重要的一环,不合理的活动指派时间可能导致人员闲置或者项目延迟.本文提出一种解决方法,基于Pert技术,结合人员闲置、项目延迟和缓冲区计算活动负责人的指派时间,以此指导项目管理,可有效减少总开销.     

基于PERT图的虚拟拆装过程建模

提出了使用PERT图来建立虚拟拆装过程模型的方法,根据零件之间的约束关系构造PERT图及其对应的依赖矩阵,并且能够根据它来指导虚拟拆装训练过程的实施.所提供的方法在对某设备的虚拟维修中得到了验证.     

统筹法在油气田开发中的应用

基于我国油气资源储量增长缓慢、油气田开发中各项工程或工作繁复的现状,经验或传统管理方法往往难以胜任,应积极采用各种不同的方法加强管理。提出了将统筹图和时间参数计算相结合应用到油气田开发中的方法,将油气田开发中的主要4个阶段（油气藏评价阶段、开发方案制定阶段、产能建设阶段、开发调整与提高采收率阶段）分别作出主要单元统筹图,探讨了时间参数计算方法。结果表明,按照该方法进行资源分配和进度安排,将经验科学化、可视化、量化,避免了工程开发的滞后,同时可以提高开发效率、降低成本。     

Fuzzy uncertainty modelling for project planning: application to helicopter maintenance

Maintenance is an activity of growing interest, especially for critical systems. In particular, aircraft maintenance costs are becoming an important issue in the aeronautical industry. Managing an aircraft maintenance centre is a complex activity. One of the difficulties comes from the numerous uncertainties that affect the activity and disturb the plans in the short and medium term. Based on a helicopter maintenance planning and scheduling problem, we study in this paper the integration of uncertainties into tactical and operational multi-resource, multi-project planning (respectively Rough Cut Capacity Planning and the Resource Constraint Project Scheduling Problem). Our main contributions are in modelling the periodic workload on a tactical level considering uncertainties in macro-task work content, and modelling the continuous workload on the operational level considering uncertainties in task duration. We model uncertainties using a fuzzy/possibilistic approach instead of a stochastic approach since very limited data are available. We refer to the problems as the Fuzzy Rough Cut Capacity Problem (FRCCP) and the Fuzzy Resource Constraint Project Scheduling Problem (RCPSP). We apply our models to helicopter maintenance activity within the frame of the Helimaintenance project, an industrial project approved by the French Aerospace Valley cluster that aims at building a centre for civil helicopter maintenance.     

基于PERT仿真的导弹技术准备流程优化分析

为满足导弹快速保障需求,利用PERT仿真对某导弹技术准备流程进行优化分析,同时引入工作关键度和重要度2个指标来定量评价各项工作对技术准备流程进度计划按时完工的影响。通过仿真准确预测了优化的效果,得到了项目完工概率及各项工作的定量评价指标值。结果表明,优化后技术准备时间明显缩短,并能准确预测优化效果,为流程进度控制提供合理的方法和参考依据。     

基于分布式并行产品开发的项目管理系统设计

根据分布式环境下并行产品开发的特点 ,提出了项目管理系统体系结构的设计 ,采用图示化方法建立了项目任务流网络模型 ,同时对原型系统中各模块的功能设计进行了描述 ,保证了系统对产品开发过程中的任务流程进度进行正确的管理与监控 ,使产品开发收敛于预定目标     

基于多Agent和PERT图的车间冲突消解研究

首先构建基于多Agent的车间管理信息系统。针对车间中常见的资源冲突问题,建立基于多Agent合作的冲突消解模型,并将PERT/CPM方法引入到多Agent系统的冲突分析过程,根据竞争同一资源的不同Agent的任务在PERT图上的位置关系,对冲突进行分类,并给出相应的冲突消解策略。最后以NCP-CP冲突为例,介绍整个系统的实现过程。     

Computational methods for determining the latest starting times and floats of tasks in interval-valued activity networks

In project management, three quantities are often used by project managers: the earliest starting date, the latest starting date and the float of tasks. These quantities are computed by the Program Evaluation and Review Techniques/Critical Path Method (PERT/CPM) algorithm. When task durations are ill known, as is often the case at the beginning of a project, they can be modeled by means of intervals, representing the possible values of these task durations. With such a representation, the earliest starting dates, the latest starting dates and the floats are also intervals. The purpose of this paper is to give efficient algorithms for their computation. After recalling the classical PERT/CPM problem, we present several properties of the concerned quantities in the interval-valued case, showing that the standard criticality analysis collapses. We propose an efficient algorithm based on path enumeration to compute optimal intervals for latest starting times and floats in the general case, and a simpler polynomial algorithm in the case of series-parallel activity networks.     

多资源约束网络计划的解析优化方法

将网络计划中的有限资源的合理分配总是怀资源问题统一起来，建立多资源分配手非线性整数规划模型，结合蒙特卡罗方法给出了算法，并与整数规划方法的运行结果进行比较。     

基于动态调度和任务委派的多型号产品并行研发能力管理

介绍了集成产品研发管理,其目的是运用产品战略和动态评价机制实现多型号产品研发及其柔性能力调度,构建柔性能力管理机制需要能力发布、能力引用、能力需求动态匹配等模块的有效协作,其核心是任务委派算法,即在分析过程模型和绩效指标的基础上,实现资源的优化调度.通过该算法的实施,可以优化项目研发中资源的动态变更,同时通过实例分析,验证算法的有效性.