国有大型存续企业生产管理的BPR研究

针对长庆局(国有大型存续企业)生产管理中缺乏“智能”、“柔性”、“系统”的现状,将现代项目管理思想引入企业BPR项目中,并具体利用决策结构模型、WBS和工作流技术,研究提出了一种新的基于项目管理的业务流程重组模式。以“生产动态信息管理流程”为释例,解释了该模式在长庆局项目中的具体效用,也为类似国有大型存续企业的BPR决策提供了一种参考。     

六西格玛项目选择的TOPSIS方法

依据六西格玛管理理论和多属性决策理论,提出了一种六西格玛项目选择的TOPSIS方法。在分析六西格玛项目选择的特点的基础上,按照系统性、可行性、多目的性、实用性的原则,构建了项目选择的决策指标体系;给出了项目选择的TOPSIS方法的计算步骤;通过一个算例说明了给出方法的应用。     

灾后重建项目的管理决策研究

强烈地震给人民生命财产带来重大损失,灾后重建工作任务急且十分繁重。管理者需要对重建工作做出全面科学的决策,按照以人为本、科学规划、统筹兼顾、分步实施、自力更生、国家支持、社会帮扶的方针,对投入的巨大人力、物力资源进行合理分配,以实现其最大效益。文章运用系统建模思想和统筹计划方法对这一问题进行了理论探讨,从灾后重建的全局角度出发,建立了重建项目的优先排序和满足资源总限量的项目决策数学模型,在理论上为重建工作的合理统筹规划提供了支持,以期对决策者有所启迪和帮助。     

大型公益项目全寿命周期过程集成模型及其支撑条件研究

大型公益项目管理全寿命周期过程集成是指从项目决策、规划设计、实施、运行维护、结束等阶段的项目过程集成。本文以实现项目全寿命周期目标体系为目的,以系统观点、过程观点及价值工程思想为指导,研究了从项目策划、规划设计、实施到运营的全过程集成管理,及其不同阶段不同任务之间的相互关系和作用,建立了大型公益项目全寿命周期过程集成模型,并讨论了大型公益项目全寿命周期过程集成的支撑条件,实现项目全寿命周期的平衡与和谐,提高了项目投资效益和社会公益服务功能,从而提高了大型公益项目的价值。     

实物期权的项目投资组合决策优化研究

基于项目投资决策的可延迟性特征,将实物期权的决策灵活性思想引入到企业的投资组合决策中,建立了基于实物期权的0-1整数规划模型.模型以项目的期权价值而非净现值最大化作为投资组合项目选择的标准,通过项目组合投资时机的灵活安排,实现了项目组合的总投资价值最大化.     

武器装备系统级研制工作程序设计概述

开展项目策划、保障项目有序进行是研制工作程序设计目的,国家军用标准《质量管理体系要求》通过更新换版对项目工作策划和决策提出了新的要求,但落实该标准以指导武器装备系统级项目控制与策划仍需要进一步分析。文章通过分析《质量管理体系要求》,研究武器装备系统级项目工作程序设计,以体系设计方法对项目工作中的各项内容展开分析,为一般武器装备系统级项目工作的设计策划提供借鉴。     

利用决策理论加强创业中心管理工作

企业孵化器20世纪50年代起源于美国。孵化器在将科技资源迅速、高效地转变为社会生产力,培育中小科技企业成功创业和迅速成长,加速地区和国家产业结构调整,发展高新技术产业,改造传统产业,盘活资产存量,培养新的经济增长点,创造新的就业机会等方面已显现出其独特的功能与潜力。本文试从决策理论角度阐述,分析如何进行程序化决策和非程序化决策以加强创业中心管理工作。     

浅谈新时期工会劳动保护工作的必要性

在新的时期,工会劳动保护工作总的思路是：以邓小平理论、“三个代表”重要思想和科学发展观为指导,认真贯彻劳动安全卫生法律法规等,围绕“组织起来,切实维权”的总要求,突出“以人为本”创建和谐社会的理念,从而确立了以“安全发展”促进“可持续发展”的方针和“预防为主、群防群治、群专结合、依法监督”的原则。“以人为本”、“安全发展”的实质就是要在社会发展的各项活动中,强化劳动保护工作,全面推进工会劳动保护工作,     

论高职院校中政治思想教育工作的发展分析

高职院校政治思想教育发展既要遵循学生自身素质发展规律,又要不断强化追求真理、创新知识、培养人才和服务社会的大学理念,坚持科学的发展观,促进高等教育和谐发展。本文以当代高职院校政治思想教育发展的基本原则入手,找出当代高校学生思想教育发展中存在的问题,分析加强政治思想教育发展的重要意义,进一步得出提高高职院校政治思想教育发展的基本原则的有效途径。     

基于实数编码遗传算法的项目组合规模决策

指出了应用二进制编码遗传算法进行项目组合选择的局限性,提出利用实数编码代替二进制编码进行项目组合规模决策.借鉴双赌论选择遗传算法的思想建立了基于实数编码的项目组合规模决策遗传算法,最后通过算例探讨了实数编码和二进制编码两种遗传算法在项目组合决策中的优劣.     

A review of methods,techniques and tools for project planning and control

The purpose of this article is to provide a brief review of methods and techniques developed for the most commonly studied decision-making problems in project planning and control over the last decade. These problems involve project representation, project scheduling, resource allocation, risk analysis, time and cost performance evaluation, time, cost, and cash flow forecasting, optimal timing of control points, and corrective action decision-making. We also review recent tools developed for project planning and control. The emphasis is on recent contributions, but several older yet important works are also cited. Our analysis shows an increasing attention to the stochastic nature of projects in planning and control decision and processes. Recent attention has also been put at improvements in existing project control techniques as well as developing new methods to automate data collection, process, and generate more integrated project plan. More importantly, our review highlights an important shift in the project planning and control research field, which has been largely dominated by the project scheduling literature in the past, as short term and reactive decision-making bring new challenges and opportunities to project organisations and researchers.     

Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach

Considering the key issues involved in environmental-friendly disposal of end-of-life (EOL) computer, its supply chain should be designed to incorporate the key dimensions of reverse logistics. An important managerial decision-making activity undertaken by reverse logistics managers is selection of feasible projects that could be completed according to the resources available. The reverse logistics project selection is a multi-criteria decision-making (MCDM) problem. While the experience and expertise of reverse logistics managers could work out for small sized projects, it might not be fruitful for multiple-criteria large sized reverse logistics in arriving at a proper decision related to selection of projects. The reverse logistics projects involve interdependencies among the criteria and the candidate reverse logistics projects. In this paper, a combination of analytical network process (ANP) and zero one goal programing (ZOGP) is used as solution methodologies to deal with the above problem. The ANP is used to determine the degree of interdependence among the criteria and candidate reverse logistics projects, while ZOGP permits the consideration of resource limitations and other constraints in arriving at the solution. The hybrid approach using ANP and ZOGP provides a realistic representation of the problem related to the selection of feasible reverse logistics for EOL computers.     

三峡工程的决策和实践

长江三峡工程是当今世界特大型多目标的水利枢纽工程，规模宏大，工程技术问题难度很大。经过近70年的规划、论证、决策以及10年的工程建设实践，工程建设取得了重大进展，论证和决策的结论基本准确，有些问题如泥沙问题、环境问题和移民问题尚待在以后的运行中经受考验。文章论述了三峡工程的科学决策及实践。     

Fuzzy Multi-criteria Decision Making for Decision Support in Port CapacityUpgrade

In many port capacity upgrade projects, choosing a supplier of equipment is a complicated decision, project managers must consider many criteria to choose a supplier to ensure the project is completed on time, optimal in terms of benefit and cost. Therefore, selecting the equipment supplier in this project is a multi-criteria decision-making process. The multi-criteria decision-making (MCDM) model is applied in many fields to select the optimal solution, but there are very few studies using the MCDM model to support project managers in evaluating and selecting optimal solutions in port capacity upgrade project. In this research, the authors combine Fuzzy Analytic Network Process model and Weighted Aggregated Sum Product Assessment concepts to develop a decision support system in port capacity upgrade project. The scientific and practical contribution of this study is to successfully propose a decision support model in a fuzzy environment. The results of the study will be a useful guideline to assist decision makers in port capacity upgrading projects in Taiwan as well as in other countries around the world.     

A real option based model for the valuation of patent protected technological innovation projects

Decision Tree Analysis and Internal Rate of Return, do not properly consider uncertainty and flexibility, which are crucial for both valuating a project and the related decision-making process. Usually, uncertainty and managerial flexibility have been regarded as a factor that needs to be reduced; nevertheless, Real Option analysis recognizes that both may generate value, since both allow managers to decide on the investment on a project as time unfolds. This research proposes the development of a model and a tool based on real options that supports decision-makers in the valuation process of uncertain projects. The model originally developed by Schwartz and later adapted and modified by Ernst et al. is used as a baseline for the tool. The objective is to develop an easier-to-use-tool for decision-makers to valuate patent protected technological innovation projects which uses fewer variables than the actual model. The expected users are Technology Transfer Offices, which can support the decision-making process of investing on risky projects for its further commercialization. The main results of the model are the probability distribution of the project value and the percentage of times that profit is generated, which are critical factors when deciding to invest in a technological project.     

Environmental management system provides tools for delivering on environmental impact assessment commitments

Involving citizens in public decision-making has become increasingly important over the last three decades. Distrust of government, academia, and big business; citizen activism; changing values and legislative requirements have converged to feed a growing demand from citizens to be involved. A dilemma arises when public managers try to communicate project plans with citizens using ‘rational’ models of problem-solving, where citizens express reactions to projects as judgments based on individual values. The fit of a project with one's values is the basis of most individual decision-making, and is at the heart of citizens' choice to become involved. Solving this dilemma involves moving outside limited rational models and entering the messy world of values.     

Synthesis of quantitative and qualitative evidence for accident analysis in risk-based highway planning

Accident analysis involves the use of both quantitative and qualitative data in decision-making. The aim of this paper is to demonstrate the synthesis of relevant quantitative and qualitative evidence for accident analysis and for planning a large and diverse portfolio of highway investment projects. The proposed analysis and visualization techniques along with traditional mathematical modeling serve as an aid to planners, engineers, and the public in comparing the benefits of current and proposed improvement projects. The analysis uses data on crash rates, average daily traffic, cost estimates from highway agency databases, and project portfolios for regions and localities. It also utilizes up to two motivations out of seven that are outlined in the Transportation Equity Act for the 21st Century (TEA-21). Three case studies demonstrate the risk-based approach to accident analysis for short- and long-range transportation plans. The approach is adaptable to other topics in accident analysis and prevention that involve the use of quantitative and qualitative evidence, risk analysis, and multi-criteria decision-making for project portfolio selection.     

Reconciling engineer-to-order uncertainty by supporting front-end decision-making

This paper presents the dynamics of engineer-to-order (ETO) practice through Integration Definition for Function Modelling (IDEF) practice. The paper describes and defines how an ETO manufacturer utilised IDEF-QA in order to manage project uncertainties within the tendering process. The research is conceptualised through an empirical action research approach, involving an active role in the assessment of the ETO process. The paper revisits the use of IDEF, showcasing an assessment of output quality. It also suggests a road map for resource uncertainty within ETO, specifically when scoping the supply chain for ETO projects. The paper then presents an IDEF Quality Assessment model for improving the tendering process of ETO, and it examines the importance of evaluating project behaviour for supporting new future projects. The principal contribution is in how a structured approach provides IDEF with a quality assessment of resources, thereby consolidating and establishing a relationship for highlighting the uncertainties experienced by ETO manufacturers within the decision-making process.     

Use and effectiveness of health impact assessment in the energy and natural resources sector in the United States, 2007 – 2016

Decisions made in the energy and natural resources sector can affect public health. This report reviews the characteristics and assesses the effectiveness of health impact assessments (HIAs) conducted in this sector. A total of 30 HIAs conducted in 14 states in the United States were identified using a targeted literature search. Five HIAs illustrative of the different source and sub-sector categories, and with identifiable impacts on decision-making processes were selected for review. An existing conceptual framework (Wismar) was used to assess the effectiveness of the five selected HIAs on decision-making related to non-renewable energy, renewable energy, mining, and energy conservation. The 30 HIAs were performed for a variety of projects and assessed health impacts ranging from metabolic disorders to community livability. Eight of the 30 reports were incorporated into environmental impact assessments. All five selected HIAs were generally effective and raised awareness of the health effects of the projects being assessed; four were directly effective and led to changes in final project decisions. Their variable effectiveness may be related to the extent of community engagement and consideration of equity issues, differences in the details and quality of monitoring and evaluation plans devised as part of the HIA process, and whether the outcomes of monitoring and evaluation are reported.