包装业ERP模型研究

在ERP基本原理的基础上对包装企业资源计划模型(ERP)进行了研究。针对包装企业的生产运营的特点，分析指出了企业的ERP总体模型和主题数据，并设计了包装企业ERP系统的软件结构。     

基于X列表的可重构ERP系统研究

为了从体系结构和管理机理更新的角度实现ERP的可重构性,建立了包括结构模型、过程模型、价值模型和分布式决策模型的X列表体系抽象层次结构.该模型能够通过初始化重构适应不同的企业环境,能够进行维护性动态重构以适应企业发展不同阶段上的环境变化,并能够支持企业内和企业间的集成与重构.给出了基于X列表的可重构ERP的软件系统架构.上述模型可以为新一代ERP软件系统的开发提供有力的理论支持.     

制造业ERP系统绩效评价的分阶段模式研究

目前已有的信息化指标体系难以同时兼顾处于不同信息化层次企业的信息化绩效评价的需要,针对此问题提出了制造业企业ERP系统实施中绩效评价的分阶段模式.基于分阶段思想,考虑到制造业ERP系统的实施应该遵循MRP/MPPⅡ/ERP/ERPⅡ等阶段,这几个阶段中企业信息化的深度和广度是不断加强的,因此相应地设计了各阶段的绩效评价指标体系,从而使之不断完备;并对该评价模式的功能特点进行了分析.     

ERP项目开发中的用户需求建模

阐述了在开发ERP系统中运用UML统一建模语言，采用Rational Rose建模工具，对用户的需求进行建模的过程。重点介绍了用户需求建模的意义、思想、方法，并通过我们所开发的实例说明建模的方法和过程。     

基于Web的企业资源计划(ERP)系统设计与实现

对ERP原理以及开发ERP系统的一些关键技术进行了研究.针对企业生产实际,提出了ERP系统总体设计方案,划分了ERP系统的功能模块,给出ERP各子系统数据流程图,开发出基于Web的企业资源计划系统.     

基于工作流技术的ERP系统研究及开发

针对传统ERP系统存在的流程固化、缺乏柔性等问题,将工作流技术引入到传统的ERP系统中,以组件技术和多层体系结构建立了一个业务流程动态可变的ERP系统.并通过实例分析了组件的构建过程.     

ERP绩效指标体系的建立及模糊评价

本文通过分析影响ERP绩效的三个主要因素(学习、流程和创新)，在结合ERP实施绩效所面临的内鄢约束和外部约束的基础上，提出了一个衡量ERP绩效的指标体系，并构建了一个适合对我国企业实施ERP绩效进行分析论证的模糊综合评判模型，为我国企业改善ERP实施效果提供了新的思路。     

ERP的发展、现状及展望

企业资源计划ERP已成为近期的热门话题，越来越多的企业已经开始采用MRPⅡ/ERP产品。本文作者就ERP发展历程，技术特点进行总结，对其发展进行展望，预示着未来随着ERP的完善，一种基于网络的全球化企业合作与虚拟企业运营的集成化企业管理系统必然产生。     

电子商务环境下企业资源计划(ERP)的新进展

分析了在电子商务环境下企业资源计划 (ERP)需求的新特点 ,并结合ERP发展和实际应用中存在的问题 ,论述了ERP与电子商务集成化的发展方向 ,提出了企业关系管理 (ERM )的基本框架和建立商业网络 (BN)的必要性。同时 ,还论述了ERP系统在网络化、模块化和智能化的发展方向和最新进展。     

一种面向可重构ERP系统的作业成本法

在对传统企业资源计划(ERP)中的成本方法和传统作业成本法的缺点进行分析的基础上,提出了一种面向可重构ERP系统的作业成本法.该方法建立在广义工作中心的动态可扩展结构基础之上,由将企业资源消耗分配到基本工作中心、将基本工作中心资源消耗分配到作业、将作业资源消耗分配到成本对象以及各级广义工作中心成本滚加计算等四个步骤组成.该方法继承了传统作业成本法面向过程的特点,能够支持过程重构驱动的ERP系统企业内和企业间重构,实现了最大程度降低过程结构成本.算例表明,与传统制造成本法和作业成本法相比,该方法能够为可重构ERP系统提供更有效、准确和集成化的成本信息和决策支持.     

ERP与现代管理思想及ERP的未来发展

阐述了企业资源计划（ERP）与其它现代管理思想之间的关系及其未来发展趋势。ERP与供应链管理（SCM）、业务流程重组（BPR）、JIT、Internet/电子商务等现代管理思想和信息技术之间是相辅相成、互为前提的,ERP与这些先进管理思想的融合成为ERP的未来发展趋势。     

Enterprise resource planning (ERP) operations support system for maintaining process integration

A successfully adopted and implemented enterprise resource planning (ERP) system does not automatically guarantee full benefits. It is important that ERP is operated as planned and thus provides the real-time information with a desired level of process integration. Any ERP system pushes a company toward full process integration and solves the fragmentation of information. However, the tight process integration involves operational issues that must be carefully managed. Thus, a conjecture can be made that a centrally coordinated support system is required to assist ERP users and administrators find problems, perform tedious validation and verification, and maintain the process integration of ERP with great consistency. This paper proposes an ERP operations support system (EOSS) that aims to achieve and maintain the process integration of ERP. EOSS monitors the operational status of process integration, prevents anomalies as early as possible and conducts repairs as soon as possible.     

Dynamic modulus simulation of the asphalt concrete using the X-ray computed tomography images

The objective of this study is to predict the dynamic modulus of asphalt mixture using both two-dimensional (2D) and three-dimensional (3D) Distinct Element Method (DEM) generated from the X-ray computed tomography (X-ray CT) images. The 3D internal microstructure of the asphalt mixtures (i.e., spatial distribution of aggregate, sand mastic and air voids) was obtained using the X-ray CT. The X-ray CT images provided exact locations of aggregate, sand mastic and air voids to develop 2D and 3D models. An experimental program was developed with a uniaxial compression test to measure the dynamic modulus of sand mastic and asphalt mixtures at different temperatures and loading frequencies. In the DEM simulation, the mastic dynamic modulus and aggregate elastic modulus were used as input parameters to predict the asphalt mixture dynamic modulus. Three replicates of a 3D DEM and six replicates of a 2D DEM were used in the simulation. The strain response of the asphalt concrete under a compressive load was monitored, and the dynamic modulus was computed. The moduli of the 3D DEM and 2D DEM were then compared with both the experimental measurements results. It was revealed that the 3D discrete element models successfully predicted the asphalt mixture dynamic modulus over a range of temperatures and loading frequencies. It was found that 2D discrete element models under predicted the asphalt mixture dynamic modulus.     

工作流技术在ERP系统中的应用

为了实现对业务过程的有效管理,增强企业的柔性和快速反应性,研究了工作流技术在ERP系统中的应用。在工作流管理系统和基于组件开发的基础上,设计了引入工作流技术的ERP系统体系结构。给出了相应的过程管理方法以及根据活动建立软件组件的方法,并详细讨论了这种面向过程应用的开发和实施方法。     

Calibration and verification of DEM parameters for dynamic particle flow conditions using a backpropagation neural network

The Discrete Element Method (DEM) requires input parameters to be calibrated and validated in order to accurately model the physical process being simulated. This is typically achieved through experiments that examine the macroscopic behavior of particles, however, it is often difficult to efficiently and accurately obtain a representative parameter set. In this study, a method is presented to identify and select a set of DEM input parameters by applying a backpropagation (BP) neural network to establish the non-linear relationship between dynamic macroscopic particle properties and DEM parameters. Once developed and trained, the BP neural network provides an efficient and accurate method to select the DEM parameter set. The BP neural network can be developed and trained for one or more laboratory calibration experiments, and be applied to a wide range of bulk materials under dynamic flow conditions.     

A strategy to determine DEM parameters for spherical and non-spherical particles

In Discrete element method (DEM) simulations the choice of appropriate contact parameters is significant to obtain reasonable results. Particularly, for the determination of DEM parameters for non-spherical particles a general straightforward procedure is not available. Therefore, in a first step of the investigation here, methods to obtain the friction and restitution coefficients experimentally for single particles [Polyoxymethylene (POM) spheres and quartz gravel] will be introduced. In the following, these predetermined DEM coefficients are used as initial values for the adjustment of bulk simulations to respective experiments. In the DEM simulations, the quartz gravel particles are represented by non-spherical particles approximated by clustered spheres. The best fit approximation of the non-spherical particles is performed automatically by a genetic algorithm. In order to optimize the sliding and rolling friction coefficients for DEM simulations, the static and dynamic angle of repose are determined from granular piles obtained by slump tests and rotating drum experiments, respectively. Additionally, a vibrating plate is used to obtain the dynamic bed height which is mainly influenced by the coefficient of restitution. The adjustment of the results of the bulk simulations to the experiments is conducted automatically by an optimization tool based on a genetic algorithm. The obtained contact parameters are later used to perform batch-screening DEM simulations and lead to accurate results. This underlines the applicability of the in parts automated strategy to obtain DEM parameters for particulate processes like screening.     

弹性DEM方法在杆系结构中的应用研究

基于颗粒离散元方法（DEM）,结合杆系结构的特点,提出了一种适于杆系结构问题分析的DEM模型。对颗粒元相应的质量和转动惯量计算公式进行了修正;通过能量等效原理推导了杆系DEM模型分析时弹簧接触刚度系数表达式;将瑞利阻尼引入到DEM方法之中,给出了阻尼常数计算公式并用算例进行了验证。将该方法应用于杆系结构弹性分析,包括静动力与几何非线性大变形问题的空间框架结构和网壳结构等多个算例,计算结果与有限元方法结果吻合良好。DEM方法的特点是将动力分析和几何非线性分析自动包含在运动方程的计算之中,不用组集刚度矩阵,无需迭代求解。杆系DEM模型非常适宜处理杆系结构大变形及动力非线性问题,尤其是在结构进入强非线性之后的模拟分析。