双液注浆锚管加固在渗水软弱围岩浅埋偏压隧道中的应用

通过乌坑坝隧道北京端左线冲沟地段的施工实例，介绍渗水软弱围岩浅埋偏压隧道地表双液注浆锚管加固的施工方法，并对加固效果及其优缺点进行分析．     

虚拟机软件在中职网络教学和实训中的应用

随着全国中等职业学校计算机技能大赛的举办,中职学校网络实训环境发生了改变,虚拟机软件在网络教学中得到了广泛的应用.通过虚拟机软件可以建立虚拟化的实训环境,模拟真实的计算机系统.使用虚拟机软件既可以克服教学资源和设备不足的困难,又可以解决实训时长不足,完成真实环境难以实现的实训任务,保证网络教学和实训的顺利进行.     

IMPROVING THE DELIVERY OF SPECIAL EDUCATION AND RELATED SERVICES IN PUBLIC SCHOOLS

The utility of organizational behavior management (OBM) for improving the delivery of special education and related services in public school districts was investigated in three experimental studies. Each study employed a multiple baseline design to judge the efficacy of an OBM intervention on service delivery problems common to most public school organizations. The problems and OBM interventions were: (1) expanding the range of functioning of school psychologists through performance feedback; (2) training special service teams to develop valuable individual education programs (IEPs) with a behavioral, in-service training program; and (3) ensuring the implementation of a special education resource room program by means of program consultation. All interventions were implemented by public school program managers and staff. In each study, the particular intervention resulted in improvement in service delivery performance. Results of the studies are discussed within the context of the recently enacted legislation for the education of handicapped children and in terms of generality to mental health, business, and industrial settings.     

Study of the behaviour of flexible production systems using neural nets

Owing to high development and acquisition costs, production systems require very detailed analysis for pre-design specifications, and an adjustment in operating philosophies. Detailed simulation models are one of the most important instruments to achieve this goal; normally the simulator must be custom-built, based on an accurate study of the specific industrial problem. The proposed management and economical analysis uses mathematical meta-models obtained from experimental designs produced by the simulator; today the detail level and precision required is very high, so these kinds of meta-model operate very close to their limit. Here we present a new methodology based on artificial neural networks that produces new types of meta-models which can correctly represent complex industrial systems. In this work we propose an application of this methodology together with a detailed analysis of the model development phase to highlight the potential of this instrument.     

Validity and reliability of proposed framework of manufacturing excellence in the Indian industry

This article presents the findings of the empirical study of proposed framework of manufacturing excellence (ME) in the Indian industry. The study includes companies from five major sectors, namely automobile, process, machines and equipment, electronics and components and textile. Responses from 90 companies were analysed to explore the validity and reliability of the proposed framework of ME in Indian industry. The developed questionnaire is outlined along with the results obtained from the analysis of the data from the Indian industry. The framework shows high level of reliability and validity.     

Multi-objectives exception management model for semiconductor back-end environment under turnkey service

On-time delivery is the need for customer satisfaction which is a critical factor in the survival of the semiconductor industry. The on-time-delivery performance of the whole semiconductor turnkey service depends on the performance of the back-end factories. Unfortunately, undesirable and inevitable production variations make it difficult to maintain and improve a factory's performance and more objectives such as cycle time, throughput rate and the due-date accuracy need to be simultaneously considered. This paper presents an exception management model in order to compromise the contradicting needs of delivery accuracy, throughput rate and cycle time. The exception model can be divided into three parts: (1) an integrated performance index is proposed to compromise multiple performance measures; (2) an AWDL (available WIP deviation level) determination model is designed to gather proper AWDLs for triggering exceptions and (3) a WIP correction action is proposed to make abnormal WIP levels back to normal levels as soon as possible. To evaluate the proposed WIP exception management model, a simulation model is constructed and experiments are then conducted. The simulation results show that the proposed model helps back-end factories to set proper exception triggering conditions, reduce uncertainty occurrences and achieve better performances on due dates.     

Adaptive agent-based manufacturing control and its application to flow shop routing control

The manufacturing industry is currently facing unprecedented challenges from changes and disturbances. The sources of these changes and disturbances are of different scope and magnitude. They can be of a commercial nature, or linked to fast product development and design, or purely operational (e.g. rush order, machine breakdown, material shortage etc.). In order to meet these requirements it is increasingly important that a production operation be flexible and is able to adapt to new and more suitable ways of operating. This paper focuses on a new strategy for enabling manufacturing control systems to adapt to changing conditions both in terms of product variation and production system upgrades. The approach proposed is based on two key concepts: (1) An autonomous and distributed approach to manufacturing control based on multi-agent methods in which so called operational agents represent the key physical and logical elements in the production environment to be controlled – for example, products and machines and the control strategies that drive them and (2) An adaptation mechanism based around the evolutionary concept of replicator dynamics which updates the behaviour of newly formed operational agents based on historical performance records in order to be better suited to the production environment. An application of this approach for route selection of similar products in manufacturing flow shops is developed and is illustrated in this paper using an example based on the control of an automobile paint shop.     

Key success factors when implementing a green-manufacturing system

This study proposes a three-layer assessment model to evaluate the performance of a green-manufacturing system (GMS) and identify the key success factors of its real-world implementation. The top layer of the model includes three dimensions – green design, green-manufacturing process and green packaging. The second and third layers include ten strategic subjects and 74 assessment factors, respectively. The weights in each layer are collected via a questionnaire and calculated using the analytical network process (ANP). Based on the ANP, the five key success factors for implementing the GMS in a company are proportion of non-toxic materials, compliance with eco-ordinances, proportion of biodegradable materials, environmental pollution per product and extent of process pollution. The practicality of the proposed model is demonstrated by evaluating three companies that produce similar products and share similar business models. The proposed model provides a valuable reference for real-world implementation of the GMS.     

采用汇文系统实现统编工作的探索

统一编目工作是促进图书馆业务工作自动化与标准化的重要技术,笔者从采用汇文系统进行统编工作的实践尝试中,探讨了统编工作中存在的一些实际问题,并提出了解决方案.     

基于价值链理论培育制造企业的核心竞争力

针对培育制造企业的核心竞争力与其生存和发展的关系问题,利用价值链分析方法,将企业整体从创造价值角度进行了有序分解,使企业能够清楚地分析到其创造价值的各个活动及相互关系,从价值增值环节培育企业的核心竞争力,为制造企业培育核心竞争力提供参考。