A Model of Cloud-Based Enterprise Resource Planning (ERP) for Small and Medium Enterprise

Cloud Computing is an uprising technology in the rapid growing IT world. The adaptation of cloud computing is increasing in very large scale business organizations to small institutions rapidly due to many advanced features of cloud computing, such as SaaS, PaaS and IaaS service models. So, nowadays, many organizations are trying to implement Cloud Computing based ERP system to enjoy the benefits of cloud computing. To implement any ERP system, an organization usually faces many challenges. As a result, this research has introduced how easily this cloud system can be implemented in an organization. By using this ERP system, an organization can be benefited in many ways;especially Small and Medium Enterprises (SMEs) can enjoy the highest possible benefits from this system.

Impacts of water resource planning on regional water consumption pattern: A case study in Dunhuang Oasis, China

Water resources are critical for the existence and development of oases in endorheic basins.Thus,to enable sustainable development,it is fundamentally important to understand how to allocate and use these resources in a reasonable way.We therefore simulated and analyzed changes in water consumption pattern within the Dunhuang Oasis of China under three scenarios using a system dynamic model that corresponds to different water consumption pattern.This was done to assess the impacts of regional water resource planning(comprehensive planning of the rational use of water resource and protection of ecosystem services in the Dunhuang Basin)on water consumption pattern within the Dunhuang Oasis.The first of these,Scenario 1,is a baseline in which the status quo is maintained,while Scenario 2 incorporates the comprehensive effects of agricultural water-saving irrigation measures with an inter-basin water diversion project,and Scenario 3 focuses on ecological rehabilitation.In the baseline Scenario 1,the total water consumption within the Dunhuang Oasis increased progressively while agricultural water consumption remained extremely high and threatened overall ecological security.In contrast,Scenario 2 would decrease agricultural water consumption by almost 5.30×10^7 m^3 following the implementation of water-saving practices.The additional water allocated from an inter-basin water diversion project would play an important role in alleviating ecological strain on the oasis.Finally,in Scenario 3,the total irrigated land must be decreased to 20.6×10^3 hm^2 by 2025 assuming that water supply for ecosystem restoration would be at least 50%of the total consumption.Although water resource planning plays a very important role in alleviating the ecological water crisis within the oasis,it is necessary to consider the suitable scale of oasis with regard to current water consumption pattern.

Research on Technic Realization of Flexible Enterprise Resource Plan

Based on the theory of dynamic enterprise model （DEM）, this paper focuses on describing the technic realization methods of DEM and its application in flexible enterprise resource plan （ERP） system. The complete and systematical description of various business activities in enterprises, quick response to business changes and the demanding adjustments are achieved with the conformation of the dynamic enterprise model platform and the utilization of the dynamic enterprise system model. Mass customization production is truly used in the implementation and development of ERP software.

Research on Prediction of Enterprise Human Resource Demand and Supply Based on Gray Model

As the knowledge-intensive enterprise, the core competence of software enterprise is to master human resources of knowledge. But the unique human resource characteristic of software enterprise res^cts the management. While it develops rapidly, there is great waste for human resource cost. By using the prediction model of human resources for software enterprise, the paper proposes the human resource strategic planning system model of software enterprise. The paper applies grey prediction to make empirical research on requirements of human resource for software enterprises, and uses Markov chain to analyze supply of human resources. According to the prediction results, the paper adjusts the imbalanced supply and demand, and proposes the human resources planning.

Cyber-physical Integrated Planning of Distribution Networks Considering Spatial-temporal Flexible Resources

The rapid development of cyber technology and the increase of flexible resources have transformed the distribution network into a cyber-physical distribution system,while the accompanying multidimensional uncertainties have brought new planning challenges.In this paper,an innovative approach is proposed to effectively leverage distributed resources while considering the impact of cyber-physical coupling in distribution network planning.A cyber-physical integrated planning model of the distribution network is proposed,considering the effects of spatial-temporal flexible resources and multi-network coupling.Specifically,a three-layer optimization model is established and analyzed by the simulate anneal-particle swarm optimization algorithm.The upper layer achieves the optimization of the location and configuration of energy storage systems and smart terminal units.The middle layer optimizes the data load migration strategy using spatial-temporal flexible resources to solve the voltage exceeding problem caused by high penetration of distributed power access,while the lower layer optimizes the cyber side communication topology,improving the convergence speed and control performance of the distribution network.Then,the optimization model is analyzed iteratively with objective functions including total planning cost,operation excess loss and distributed control performance.Finally,the effectiveness and economy of the proposed planning scheme is verified and compared to traditional methods.

Energy storage resources management:Planning,operation,and business model

With the acceleration of supply-side renewable energy penetration rate and the increasingly diversified and complex demand-side loads,how to maintain the stable,reliable,and efficient operation of the power system has become a challenging issue requiring investigation.One of the feasible solutions is deploying the energy storage system(ESS)to integrate with the energy system to stabilize it.However,considering the costs and the input/output characteristics of ESS,both theinitial configuration process and the actual operation process require efficient management.This study presents a comprehensive reviewof managing ESs from the perspectives of planning,operation,and business model.First of all,in terms of planning and configuration,it is investigated from capacity planning,location planning,as well as capacity and location combined planning.This process is generally the first step in deploying ESS.Then,it explores operation management of ESS from the perspectives of state assessment and operation optimization.The so-called state assessment refers to the assessment of three aspects:The state of charge(SOC),the state of health(SOH),and the remaining useful life(RUL).The operation optimization includes ESS operation strategy optimization and joint operation optimization.Finally,it discusses the business models of ESS.Traditional business models involve ancillary services and load transfer,while emerging business models include electric vehicle(EV)as energy storage and shared energy storage.

On the Decision Structures and Knowledge Discovery for ANP Modeling

This paper proposes an integrative framework for network-structured analytic network process (ANP) modeling. The underlying rationales include: 1) creating the measuring items for the complex decision problems;2) applying factor analysis to reduce the complex measuring items into fewer constructs;3) employing Bayesian network classifier technique to discover the causal directions among constructs;4) using partial least squares path modeling to test the causal relationships among the items-constructs. The proposed framework is implemented for knowledge discovery to a case of high-tech companies’ enterprise resource planning (ERP) benefits and satisfaction in Hsinchu Science Park,Taiwan. The results show that the proposed framework for ANP modeling can reach a satisfactory level of convergent reliability and validity. Based on the findings, pragmatic implications to the ERP venders are discussed. This study has shed new light on the long neglected, yet critical, issue on decision structures and knowledge discovery for ANP modeling.

Research on SAP Business One Implementation Risk Factors with Interpretive Structural Model

The possible risk factors during SAP Business One implementation were studied with depth interview. The results are then adjusted by experts. 20 categories of risk factors that are totally 49 factors were found. Based on the risk factors during the SAP Business One implementation, questionnaire was used to study the key risk factors of SAP Business One implementation. Results illustrate ten key risk factors, these are risk of senior managers leadership, risk of project management, risk of process improvement, risk of implementation team organization, risk of process analysis, risk of based data, risk of personnel coordination, risk of change management, risk of secondary development, and risk of data import. Focus on the key risks of SAP Business One implementation, the interpretative structural modeling approach is used to study the relationship between these factors and establish a seven-level hierarchical structure. The study illustrates that the structure is olive-like, in which the risk of data import is on the top, and the risk of senior managers is on the bottom. They are the most important risk factors.

低轨星座传感器资源调度的自主任务规划建模方法

低轨星座传感器资源的优化调度是复杂多约束下的任务规划问题,为了满足多个运动目标全程跟踪与监视的资源实时优化调度需求,提出一种星上自主快速求解的规划模型.在对自主任务规划问题进行详细建模的基础上,考虑各项约束条件与优化因素,将原问题转化成简易的0-1线性整数规划模型,并构建多目标跟踪试验场景对所提方法进行了仿真验证.仿真结果表明,基于简易规划模型的资源调度可实现多目标的全程跟踪与监视.

基于自然资源统一管理的地表基质模型、分类及调查研究

基于自然资源统一管理的需要,自然资源部提出了“地表基质”的概念,并组织开展典型地区地表基质试点调查工作。目前,地表基质三级分类体系仍未形成统一认识和标准,严重制约着地表基质数据调查、野外填图、成果应用等工作。鉴于此,通过辨析地表基质内涵,明确了地表基质的理论意义和应用价值,综合考虑国土城镇空间、生态空间和农业空间规划的数据利用需求,建立了基于调查-分类-应用的地表基质垂向空间层次模型,可实现与岩石、砾质、土质、泥质4类地表基质数据的有机结合,进而提出三级分类体系方案。该方案以《地表基质分类方案(试行)》二级类型为基础,与现有分类体系充分衔接,并以现有的研究基础和现行技术标准为依据,在命名上遵守自然科学术语从先的惯例,通过科学编号,形成具有科学性、统一性、操作性、应用性和规范性的三级体系,具有应用的可行性,可为开展地表基质理论研究和调查应用提供借鉴和参考。

基于DPSIR模型的梁子湖流域水资源承载力评价与保护策略

水资源承载力评价是“双评价”的重要内容,是国土空间规划的前提和基础。如何全面量化测度水资源承载力并对接国土空间规划进行区域空间格局优化,是梁子湖流域社会经济可持续发展中亟待解决的问题。本文选取社会、经济、生态多维度评价指标,以Arc GIS为平台,通过构建DPSIR评价模型,对梁子湖流域2020年水资源承载力进行评价并将评价结果进行空间落位。研究结果表明,基于DPSIR模型构建的梁子湖水资源承载力评价体系中,驱动力子系统权重占比最大,人为调控对水资源承载力具有较大影响。流域2020年水资源承载力总体居于良好水平,各城市之间由于社会经济发展水平的不同以及地形地貌差异,其水资源承载力也存在显著区域差别,水资源承载力高的区域,应以保护为主,水资源承载力较高的区域,应保护与开发并举,水资源承载力较低的区域,要以污染防治,控制规模为主。通过探索梁子湖流域水资源承载力从评估框架到保护实施的技术方法,以期为流域国土空间规划与生态保护提供参考。

基于全局资源优化模型的炼化一体化应用

炼化企业的生产计划优化是决定企业经营效益的核心业务环节,炼化企业通常会对企业生产全流程进行建模,并采用非线性优化算法对模型进行求解,以获取最优加工方案。采用全局资源优化模型系统对典型炼化一体化企业的生产加工总流程进行进行划分,将资源、炼油、化工、公用工程等生产流程以板块形式进行划分,并通过约束汇总模块对所有约束进行集成,形成炼化一体化全局资源优化模型。采用非线性优化算法求解测算加工负荷、物料流向、原料和产品保本价等不同测算方案,并进行效益分析,验证了该模型的可靠性,同时也为企业的生产计划编制和生产经营优化决策提供数据支撑,助力企业提升经济效益。

计及源-荷不确定性及需求侧响应的多主体综合能源系统两阶段鲁棒优化配置

基于峰谷电价差的需求侧负荷参与调度,是实现源荷平衡和促进可再生能源消纳的重要策略。为应对源-荷不确定性对电源容量管理带来的挑战,该文提出了一种考虑源-荷不确定性及需求侧响应的多主体综合能源系统两阶段鲁棒优化配置策略。在第一阶段,优化计算风电、光伏和储能的容量配置;第二阶段,规划风电、光伏、储能和燃气轮机的实际出力。模型综合考虑了多类型多负荷需求响应约束,并通过引入不确定性调节参数来表征源-荷不确定性的波动程度;同时,采用整数变量将原模型转化为混合整数线性优化问题,并利用双层列生成循环算法。仿真结果表明,所提策略能够灵活计算微电网电源配置方案及出力工况,为多源微网的电源容量配置策略和激发需求侧与电网之间灵活互动提供了理论支撑。

马尔科夫模型在企业人力资源供给预测中的应用

基于马尔科夫过程,建立了企业人力资源供给预测模型,通过具体历史数据的收集,找出组织过去人事变动的规律,由此推断未来的人事变动趋势。以某电厂作为模型的实际应用案例对算法进行了验证。

兼容需求侧资源的负荷预测新方法

提出一种兼容需求侧资源的负荷预测新方法,其基本思路为"自上而下细分负荷,自下而上叠加计算"。该方法的主要步骤为确定预测范围、对用户进行分类、识别各类用户的各种需求侧资源、定量分析预测期内各类用户各种需求侧资源对负荷的影响效果,通过多层次叠加技术测算得到预测区域内考虑需求侧资源的最大负荷。基于此,构建考虑需求侧资源的负荷预测模型。以某110 kV变电站中某条线路的覆盖范围为仿真算例,结果表明,考虑需求侧资源影响后电网规划中的负荷预测结果显著降低。

面向企业资源计划全生命周期的建模方法及工具

目前应用于企业资源计划系统建模的方法和工具存在较大缺陷。为此,提出了面向企业资源计划全生命周期的建模方法及相应的工具系统,支持企业资源计划系统需求分析、设计、实施等各阶段模型的灵活构造,并通过映射关系实现模型之间的转换与追溯。给出了企业资源计划全生命周期的建模方法支持企业资源计划业务元模型。通过分析企业资源计划全生命周期的建模需求,探讨企业资源计划全生命周期的建模方法的建模体系与建模过程。企业资源计划全生命周期的建模方法采用片段作为模型的基本组织单位,采用内容对象和图形对象作为模型信息的基本组织单位,支持对建模框架和模型内容的动态配置与扩展,并提供了基于可扩展标记语言的模型转换语言,为将模型数据自动转化为输出文档和程序源代码提供了支持手段。

区域卫生资源分布优化建模

目的:建立区域卫生资源分布优化模型,探讨优化机制,解决区域卫生资源在空间分布上的最优分配及最优利用问题。方法:以课题组卫生资源优化部署理论研究为基础,针对区域卫生资源分布的优化问题,采用运筹学方法,以卫生资源的有效服务半径为保障半径,以保障负荷为约束条件,按照“划区治疗,就近收治”原则,构建分布优化模型。结果:构建了区域卫生资源分布优化模型,获得区域卫生资源分布优化机制。结论:模型构建合理,解决了区域卫生资源分布的最优分配及最优利用问题。

基于公共信息模型的电网企业资产管理信息模型及应用

从复杂信息系统建设的规律出发,基于IEC 61970/61968的公共信息模型(CIM),阐释了资产信息模型理论,分析了电力系统资源与资产的区别;提出了电力信息建模的原则和方法,并据此扩展资产信息模型,包括资产基础模型和工作模型,其中资产基础模型详尽描述了设备台账对象,而工作模型概括了主要设备维修活动涉及的基础数据;介绍了资产模型的各种应用,如用于资产数据库设计、资产分类与编码设计,并理清资产与功能位置的关系、资产管理与物资和财务管理的关联集成。

平原河网城市水资源综合规划防洪校核研究

为了研究城市水资源综合规划中各类涉水规划对防洪的影响,分析了平原河网区城市的洪涝特性及洪涝灾害形成原因,提出了适用于平原河网区城市水资源综合规划的防洪安全校核计算方法.以太仓市水资源综合规划防洪安全校核计算为实例,根据该市土地利用特点和下垫面特性,分别建立相应的产汇流模型,计算不同规划条件下的河网洪水位,计算结果可以为制定满足太仓市防洪安全要求的水资源综合规划方案提供依据.