基于BP神经网络预测制造企业安全库存的研究

设置安全库存的目的在于预防需求或供应方面不可预料的波动,避免造成生产或供应中断。运用BP神经网络建立R公司原材料安全库存预测模型,再进行Matlab函数仿真,从人工智能的角度预测原材料库存,从而减少企业库存,降低企业制造成本,提高竞争力。     

装备制造企业库存模式研究与软件实现

为了解决装备制造企业的高效库存管理问题，通过对制造业企业库存管理实际情况的调研与分析，提出了“广义库存”的管理思想，包含短周期生产模式下的库存存储策略、三类物料划分及其在库存盘点、期初数据处理中的应用等内容；设计并编程实现了库存管理信息系统，在大重集团减速机厂实施和应用中取得了满意的效果。     

B公司MTS库存策略的研究与应用

库存的有效管理一直是企业运营管理的一个重要部分。在需求不确定的环境下,库存的有效管理会面临挑战。本文从化工企业B公司运营管理中,总结出MTS库存策略作为有效的实际操作方法来做为库存策略,可以达到优化库存的目标。     

B公司MTS库存策略的研究与应用

库存的有效管理一直是企业运营管理的一个重要部分。在需求不确定的环境下,库存的有效管理会面临挑战。本文从化工企业B公司运营管理中,总结出MTS库存策略作为有效的实际操作方法来做为库存策略,可以达到优化库存的目标。     

计算机在库存管理中的应用

应用计算机网络环境，开发计算机在库存管理中的应用，从而实现库存管理的现代化。本文通过一个具体实例，介绍了建立库存管理模型的过程，及应用面向对象技术的开发方法。     

供需链中的结盟企业库存管理

供需链中核心企业与结盟企业在风险分担和库存信息上存在不对称，在提货时存在“局部利益最大化”问题，核心企业仅能通过提货量控制结盟企业库存。结加存管理包括根据外部事件及反馈信息进行结盟企业库存维护和利用提货量来控制结盟企业库存，本文建立了结盟企业库存维护的形式化模型和库存控制的随机模型，并提出了一种层次型混合算法。     

ABC分类法在机械制造企业中的应用

ABC分类法是物流库存成本控制中一种比较经济合理的常用方法。在库存管理中,应用ABC分类法符合"抓住关键的少数"、"突出重点"的原则,以此做好库存物品的重点管理和安排,可以提高保管效率。当今机械制造企业的库存管理具有产品标准化程度低、库存批量小、品种多的特点。通过对C公司库存管理的调查研究,提出了实施ABC分类法能提高机械制造企业库存管理水平的作用。     

数字化车间工具库存管理系统研究

构建数字化车间,是实现多品种批量定制生产的需要和制造数字化的基础。系统研究在数字化车间环境下如何通过科学有效的工具库存管理,提高生产系统的快速响应能力、降低工具库存成本。系统开发前期分析了工具库存管理流程,提取了数字化车间生产过程中工具库存管理的共性,建立了统一库存管理模型,并设计了编码体系和系统数据库。在此基础上设计开发了系统,并结合生产实际阐述了系统工作原理与流程,验证了设计模型的有效性。     

基于数据库的库存管理系统的研究

分析了库存管理在企业中的重要作用,着重介绍了库存基本信息管理、入库管理、出库管理、库存统计和汇总等模块.在数据库及网络技术应用基础上,库存管理人员及时把握每日进、出、存库存动态,不仅使次数频繁的入库、发料、库存数据备份、更改和查询等得以顺利进行,而且库存数据通过企业网络可以实时通畅地传递到企业各所需部门,对库存进行了规范化和集成化管理.     

装备维修器材多级库存控制优化研究

分析了军队装备维修器材库存控制现状,借鉴供应链管理环境下的多级库存优化控制思想,采用联合库存管理和多级库存优化控制策略,对维修器材库存进行了优化控制.     

谈如何加强行政事业单位国有固定资产的管理

事业单位的固定资产管理，应实行“统一领导、归口管理”的办法。应当严格遵守并规范执行国家有关的法律、法规。必要建立固定资产内部控制制度，切实管好，用好固定资产，保证固定资产的安全和完整。文中从建全行政事业单位固定资产管理体制、考评机制和信息化管理三方面进行了论述。     

基于信息论的零件编码定量评估

零件分类编码中，码位取值符号所反映的信息量与该符号出现的概率分布有内在联系。以Shannon信息论为基础，建立了将编码作为信源的模型。该模型保留了能用数学描述的形式因素，使用信息熵定量地度量编码符号和码位的信息量。求解出了符号种数固定时的信息量最大值及其编码方案，并举例说明了该方法在注塑机零件分类编码系统中的应用。     

企业数字化档案信息安全管理研究

信息资源数字化产生的大量电子文件及声像档案成为档案馆馆藏十分重要的组成部分,如何保障数字化档案信息的安全成为企业档案管理的重要课题。首先分析企业数字化档案信息安全面临的各种威胁因素,接着从硬件设施、信息安全保障技术和管理策略三个方面提出信息安全保障措施,最后结合中冶南方工程公司对数字化档案信息实现安全保护的实践进行探讨。     

基于固定量双仓模型的刀具库存管理系统

在论述库存控制模型———固定量双仓模型的基础上,设计了刀具库存管理系统,并分析了该系统的结构和模块功能,最后提出了该系统实现的具体方法和技术。     

基于Web Service的设备管理信息系统

针对唐山钢铁企业设备管理存在的地域分散、设备数量大、类型繁多、信息流程复杂等问题，提出了基于Web Service的设备管理系统EMIS。描述了web service的基本原理和功能，通过分析EMIS与企业管理信息系统各模块之间的信息流程关系，阐述了使用Web Service技术的必要性和EMIS的功能及3层分布式体系结构，重点介绍了Web Service的实现机制及Web环境下统计报表的输出等关键技术。     

Security systems of point-of-sales devices

Security is a systematic issue which covers product design, implementation, logistic, manufacture and management. With the exponential growth of electronic business in recent years, the security of e-payment which is an important part of e-supply chain management (eSCM), becomes a critical issue. A large amount of payment in transactions is made via POS (point of sales) devices. The security of the POS system has its own specialties. However, few research papers focus on POS device security. This paper provides comprehensive investigation into security on POS devices. Firstly, it offers first-hand information on hardware and design of physical security. In particular, attacks, countermeasures and practical implementation are studied. Secondly, secure key management and security management in manufacture are investigated. Further research directions have been discussed according to the authors’ analysis.     

Environmentally conscious design by using fuzzy multi-attribute decision-making

Products affect the environment at many points in their life cycles. Once a product moves from the drawing board into the production line, its environmental attributes are largely fixed. Many researchers focus on developing intelligent systems to provide a variety of design and manufacturing information to help designers make environmentally conscious decisions. However, in the early design stage, not all the information available is precise. A large amount of information, especially that which is based on designer experience, is fuzzy in nature. This paper presents an innovative method, namely, green fuzzy design analysis (GFDA), which involves simple and efficient procedures, to evaluate product design alternatives based on environmental consideration using fuzzy logic. The hierarchical structure of environmentally conscious design indices was constructed using the analytical hierarchy process (AHP), which includes five aspects: (1) energy, (2) recycling, (3) toxicity, (4) cost, and (5) material. After weighting factors for the environmental attributes are determined, the most desirable design alternative can be selected based on the fuzzy multi-attribute decision-making (FMADM) technique. The benefit of using such a technique is to effectively solve the design problem by capturing human expertise .     

利用计算机系统提高存货管理核算水平

存货由于品种繁多,金额较大,手工核算效率低,准确性和及时性差,通过采用ERP系统大大提高了核算和管理水平,保证了信息的及时性和准确性.     

Environmentally conscious design by using fuzzy multi-attribute decision-making

Products affect the environment at many points in their life cycles. Once a product moves from the drawing board into the production line, its environmental attributes are largely fixed. Many researchers have focused on developing intelligent systems to provide a variety of design and manufacturing information to help designers make environmentally conscious decisions. However, in the early design stage, not all the information available is precise. A large amount of information, especially those that are based on designer experience, is fuzzy in nature. This paper presents an innovative method, namely green fuzzy design analysis (GFDA), which involves simple and efficient procedures to evaluate product design alternatives based on environmental consideration using fuzzy logic. The hierarchical structure of environmentally conscious design indices was constructed using the analytical hierarchy process (AHP), which include five aspects: (1) energy, (2) recycling, (3) toxicity, (4) cost, and (5) material. After weighting factors for the environmental attributes are determined, the most desirable design alternative can be selected based on the fuzzy multi-attribute decision-making (FMADM) technique. The benefit of using such a technique is to effectively solve the design problem by capturing human expertise.     

Environmentally conscious design by using fuzzy multi-attribute decision-making

Products affect the environment at many points in their life cycles. Once a product moves from the drawing board into the production line, its environmental attributes are largely fixed. Many researchers have focused on developing intelligent systems to provide a variety of design and manufacturing information to help designers make environmentally conscious decisions. However, in the early design stage, not all the information available is precise. A large amount of information, especially those that are based on designer experience, is fuzzy in nature. This paper presents an innovative method, namely green fuzzy design analysis (GFDA), which involves simple and efficient procedures to evaluate product design alternatives based on environmental consideration using fuzzy logic. The hierarchical structure of environmentally conscious design indices was constructed using the analytical hierarchy process (AHP), which include five aspects: (1) energy, (2) recycling, (3) toxicity, (4) cost, and (5) material. After weighting factors for the environmental attributes are determined, the most desirable design alternative can be selected based on the fuzzy multi-attribute decision-making (FMADM) technique. The benefit of using such a technique is to effectively solve the design problem by capturing human expertise.