项目管理中项目进度计划的制定

本文描述了项目管理中项目计划的重要意义和制定办法.在分析项目进度计划在项目管理中的意义的基础上,进而详细说明项目计划的制定步骤以及制定中需要遵循的原理.本文的制定步骤和方法是确实可行的,具有很强的现实意义.     

施工项目进度控制的探讨

由于项目管理的核心任务是项目的目标控制,根据项目管理学的基本理论,文章就施工项目进度控制的概念、方法、措施,主要任务和影响施工项目进度的因素作简要概述,同时对施工项目进度控制原理的6个方面进行了阐述.     

基于网络图的软件项目进度计划编制

制订周密、简洁和精确的软件项目进度计划,是软件项目开发成功的关键.针对当前进度计划主要采用手工方法,编制速度慢、缺乏科学性等特点,基于网络图,运用工作分解结构、计划评审技术、关键路径法、甘特图等技术对其进行研究.说明了前期准备工作,包括定义活动、活动排序、绘制网络图;给出了推导时间参数公式,包括活动时间估计、项目周期估计、活动时间计算;并通过实例阐述了编制过程.结果表明,该方法对软件项目进度计划编制具有较高的实用价值.     

企业基建项目管理信息化实践

鲁能能源开发有限公司实施基建项目管理信息化系统,实现了工程进度、费用、质量、安全、文档资料的有效管理,保存了项目建设过程中的全部数据,对今后的项目建设提供了经验。     

综合进展率软件在宝钢技改项目实施阶段进度控制中的运用

在宝钢"十一五"规划项目建设过程中,工程综合进展率软件得到全面推广运用,对于规划项目实施进度的有效控制发挥了非常重要的作用。在介绍综合进展率软件的计算原理基础上,结合宝钢技改工程实例,详细分析了其编制过程;对其在宝钢"十一五"规划项目进度管控的主要功能进行了较全面的总结;同时在系统分析综合进展率使用局限性的基础上,提出了针对性的改进建议。     

三维可视化地下矿采掘进度计划编制及动态管理技术

通过直接导入三维精确采切设计及开拓设计成果,以生产者及其工效、矿山主要采掘工艺技术为约束,以线性规划为优化技术对矿山采掘计划进行编制,实现了计划编制的三维可视化及动态管理．文章从三维可视化地下矿采掘进度计划编制的基本原理、技术方法和实现手段,全面阐述了三维可视化地下矿采掘进度计划编制系统,并以实际工程应用情况说明了系统的可行性和科学性．     

进度控制是项目管理的关键环节

在项目管理中,进度控制是整个项目控制过程中重要的环节之一,它与质量控制、费用控制共同决定了能否实现包括项目的收费目标在内的各项目标,特别是进度控制在实际工作中的有效运用,这对于实现项目的各项目标进而完成项目的最终收费目标、促进公司的发展壮大以及实现各项战略目标,都有着极为重要的意义。     

探讨矿山工程施工进度组织管理

通过分析影响工程进度的主要因素,运用网络控制方法,通过优化现场施工组织,实施配套的管理措施,来加快井下掘进工程施工进度,以保证矿山生产的需要。     

基于关键链的地下矿采掘计划编制优化方法

为了解决传统地下矿采掘计划编制中存在的最短工期不可控、作业成本较高的问题,以最大化减少工期为目标,提出了一种资源约束下的采掘计划关键路径自动搜索方法.首先,根据作业之间的逻辑衔接关系自动生成采掘计划网络图,并为其添加资源约束;然后,根据工序顺序表和计划衔接表中的信息确定每个采场执行的工序,且不同工序按照不同的资源配置规...     

也谈软件项目进度管理

项目进度管理是信息化项目管理中至关重要的部分,包括活动定义、活动排序、资源估算、活动历时估算、项目计划和控制等多个过程.本文结合笔者在参与实施国内某电力公司的电力协同办公项目建设中的实践工作,分析和总结了在进度管理方面所获得的一些经验教训:如出现工作任务不明确、项目计划不实际、资源状况不清晰、资源分配不合理、进度滞后等一系列实际问题;以及笔者在此项目中所采取的解决办法:如工作任务分解、资源平衡、类比法、周例会监控制度等进度管理方面的相关措施;以及从这些措施的实施过程以及效果中所获得的宝贵经验和深刻教训总结.     

Application of Innovative Critical Chain Method for Project Planning and Control under Resource Constraints and Uncertainty

This research proposes an innovative critical chain method (ICCM) for project planning and control under resource constraints and uncertainty. An improved genetic algorithm is developed to identify the critical chain and to obtain the optimal start time of each activity under the most optimistic duration of each activity and resource constraints. Furthermore, a feeding buffer is added in an insert point in order to deal with uncertainties. The benefits of applying this ICCM are demonstrated in an example project.     

Linear versus Network Scheduling: A Critical Path Comparison

Linear scheduling methods provide an alternative way of scheduling repetitive projects, to the commonly used network methods. Critical path identification is a major attribute for both methods; therefore, it is very important for practitioners to understand the function of the two methods in this area. The present paper compares the critical path of the recently developed Kallantzis-Lambropoulos repetitive project model against the network scheduling critical path method (CPM), aiming at delving into and pointing out the differences and similarities between them. Initially, the rules for transforming the linear project into an equivalent CPM network are proposed. Then, the rules are applied on a sample linear project. Due to the additional constraint for maintaining resource continuity that the linear method takes into account, the critical paths vary. The constraint is subsequently removed from selected activities and comparison is repeated; the critical paths then coincide. In order to validate the findings and ensure impartiality of results, a random linear project generator is developed. A group of twenty-five random linear projects and their equivalent networks is produced. Their critical paths are analyzed, compared and classified. Conclusions support that the proposed comparison could be beneficial to users of linear scheduling methods, while the random project generator can serve other related research.     

Quality Indices for Aluminum Alloy Castings: A Critical Review

Several indices are available in the literature to assess the structural quality of cast Al alloys, especially Al-7 pct Si-Mg alloys that are based on tensile test results. Some of these indices, most notably the one developed by Drouzy et al., provide a number that necessarily does not have a physical meaning, whereas the others are a measure of what fraction of the expected tensile performance is achieved. These indices are analyzed in depth, their similarities and shortcomings are discussed in detail, and recommendations are made.     

Permutation-Based Particle Swarm Optimization for Resource-Constrained Project Scheduling

In the light of particle swarm optimization (PSO) which utilizes both local and global experiences during search process, a permutation-based scheme for the resource-constrained project scheduling problem (RCPSP) is presented. In order to handle the permutation-feasibility and precedence-constraint problems when updating the particle-represented sequence or solution for the RCPSP, a hybrid particle-updating mechanism incorporated with a partially mapped crossover of a genetic algorithm and a definition of an activity-move-range is developed. The particle-represented sequence should be transformed to a schedule (including start times and resource assignments for all activities) through a serial method and accordingly evaluated against the objective of minimizing project duration. Experimental analyses are presented to investigate the performances of the permutation-based PSO. The study aims at providing an alternative for solving the RCPSP in the construction field by utilizing the advantages of PSO.     

Critical Success Factors for Different Project Objectives

The identification of key factors for construction project success enables appropriate allocation of limited resources. Most of the related past work only identified critical success factors for construction projects in general. The present study seeks to distinguish these factors according to the project objectives of budget, schedule, and quality. The analytic hierarchy process is adopted to determine the relative importance of success-related factors. A hierarchical model for construction project success is presented. Sixty-seven success-related factors are considered. These factors are grouped under four main project aspects, namely, project characteristics, contractual arrangements, project participants, and interactive processes in the hierarchical model for project success. A questionnaire was developed to facilitate systematic data collection in this study. Experts with an overall average of 20 years of experience in the construction industry were invited to participate in the survey. Critical success factors addressing budget performance, schedule performance, quality performance, and overall project success are identified. Some pertinent findings of the study are discussed. Comparisons with findings of previous studies using neural network approach are also presented.     

Probability of Project Completion Using Stochastic Project Scheduling Simulation

This paper introduces a software, Stochastic Project Scheduling Simulation (SPSS), developed to measure the probability to complete a project in a certain time specified by the user. To deliver a project by a completion date committed to in a contract, a number of activities need to be carried out. The time that an entire project takes to complete and the activities that determine total project duration are always questionable because of the randomness and stochastic nature of the activities’ durations. Predicting a project completion probability is valuable, particularly at the time of bidding. The SPSS finds the longest path in a network and runs the network a number of times specified by the user and calculates the stochastic probability to complete the project in the specified time. The SPSS can be used by a contractor: (1) to predict the probability to deliver the project in a given time frame and (2) to assess its capabilities to meet the contractual requirement before bidding. The SPSS can also be used by a construction owner to quantify and analyze the risks involved in the schedule. The benefits of the tool to researchers are: (1) to solve program evaluation and review technique problems; (2) to complement Monte Carlo simulation by applying the concept of project network modeling and scheduling with probabilistic and stochastic activities via a web based Java Simulation which is operateable over the Internet, and (3) to open a way to compare a project network having different distribution functions.     

Integrated Simulation System for Construction Operation and Project Scheduling

Simulation modeling is important in predicting the productivity of construction operations and the performance of project schedules. It would be desirable if operation and project models are vertically integrated in practice. However, existing discrete event simulation systems do not allow integrating operation and project models. This paper introduces an integrated simulation system named “Construction Operation and Project Scheduling” (COPS). COPS analyzes the productivity of construction operations as well as the performance of a project schedule individually and jointly. It creates operation models, maintains these models in its operation model library, conducts sensitivity analysis with different resource combinations, finds the optimal resource combination that satisfies the user’s requirements relative to hourly production and hourly cost of the operation, feeds this information into a project schedule, and executes stochastic simulation-based scheduling. A case study is presented to demonstrate this integrated simulation system.     

Fluid Flow in Hydrocyclones: A Critical Review

A critical assessment is presented for the existing fluid flow models and the flow measurement techniques used for hydrocyclone classifiers. The basic nature of flow and the measurement techniques are analyzed and a detailed discussion is presented on the empirical, semi-empirical and the Navier-Stokes equation based flow models available in the literature. The existing equations describing turbulence and pressure drop are also critically reviewed.     

A Review and Critical Analysis of Philosophical Counseling.

Psychologists are increasingly encountering philosophers in independent practice who use philosophy to help individuals or groups work through practical problems. An overview of the diverse expressions of the philosophical counseling movement is provided, including scope of practice, methods, training curriculum, codes of ethics, and evidence of effectiveness. The field is critically analyzed: Philosophical counseling is not currently a viable alternative to mental health treatment. Carefully conducted and appropriately focused philosophical counseling may, however, help some individuals or groups. To clarify whether philosophical counseling may benefit a particular individual with a given problem, psychologists (and potential clients) thus need to carefully evaluate individual philosophical counselors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)