压梗机润辊系统优化研究与设计

SY232压梗机的润辊装置存在设计缺陷，压辊全表面无法得到有效清洁，造成压辊积垢、粘料、烟梗堆积、撮梗等现象，导致烟梗碎损、压梗厚度不均等，影响设备的工作效率。研发设计压梗机润辊系统，自动化调节和控制润辊雾化水，使压梗均匀、设备运行稳定，为烟梗的薄压薄切提供设备保障，实现精细化润辊的目的。     

100T液压机主缸密封结构标准化改造研究

在100T液压机工作过程中，出现主油缸渗油现象，且有掉压问题，从而影响到设备的正常工作。设备主缸密封件改造后，设备能力达到原有状态和性能，主缸密封性能、缸口密封性能提高，进而使保压性能得到改善。     

瓶盖压不紧故障分析及处理

我厂啤酒灌装设备是原民主德国纳格玛公司产BF60·2灌酒压盖机,使用几年后,压盖系统时常出现个别压盖头压不紧盖,甚至连瓶带起的故障,几经维修人员检修,均未彻底解决。为此我们专门对压盖头进行了分析,终于查清故障原因,使压盖恢复正常。     

河南新机召开钢球设备新品推介及订货会

日前，河南新机股份有限公司在河南省新乡市召开了2005年度钢球设备新品推介及订货会，与会代表有150多人，行业知名企业悉数到会；集中推出了新机股份公司近年研制开发的11种新品，如大规格钢球加工设备：3M7790、3M7760、3M799和3M7980、3MX7980钢球光球机，3M7746卧式钢球机及老设备的升级产品，体现了新机股份公司产品研发的实力。     

铁路车辆转向架轮对压装设备的调整改造

轮对压装设备是铁路车辆制造企业中转向架工艺必备的专用设备,改造预压装小车定位调整装置,解决轮对预压装中容易出现的压装故障和压装质量问题。     

气液增压技术的单字轮VIN号码压字设备研究

乘用车多采用气动刻划式设备在车身的易观察部位刻上持久性的标识。介绍一种利用气液增压技术的单字轮旋转VIN号码压字机,通过对单个字符压字力进行精确控制,解决普通液压压字机压字深浅不一致的问题,避免字符缺陷。     

PKZZ 2000压床的压杆、球垫和蜗轮内套易损坏的原因及其解决方法

本文对民主德国的PKZZ 2000双曲轴压床的压杆、球垫和蜗轮内套易损坏的原因和损坏的机理,通过对其材质、加工精度、装配关系及间隙大小和设备操作、润滑油质等进行综合分析后认为:压杆与球垫之间的不正常磨损,首先是从粘着磨损开始的,随后发展到磨粒磨损,最后是在两种磨损的反复作用下将蜗轮内套拉断。根据磨损的原因和机理,将压杆、球垫和蜗轮内     

日立建机Bauma展示会取得圆满成功

卡特彼勒公司在上海2004中国国际工程机械、建材机械、工程车辆及设备博览会(简称BAUMA-CHINA2004)上展示了门类众多的优质产品和增值服务，并特别强调卡特彼勒在中国市场拓展业务的承诺。卡特彼勒的展品以“卡特彼勒，信赖之选”为主题，突出展示其受欢迎的300系列挖掘机和一批筑路设备，其中包括140H平地机、PM565路面冷刨机、CB534压实机、BB781摊铺机。     

结构调整拓展市场空间

石油工程机械公司四机厂为中国石油海洋工程有限公司制造了国内首套2000HP型海洋酸化压裂机组,成功填补了我国在海洋酸化压裂橇装设备研制方面的空白。 今年初,石油工程机械公司四机厂获得委内瑞拉6套大配套不压井产品的生产订单,产品包括陆用和湖用两种。 不压井作业装备,是在井口有压力的工况下,不放喷、不处理压力进行作业的特殊装备,能有效避免常规压井施工对油气藏储层产生的损伤，降低生产成本，提高油气采收率。     

桂平水电厂高压气机控制流程完善

桂平航运枢纽分公司水电厂于2004年完成计算机监控改造,但水电厂高压气系统近年经设备改造后,才投入自动运行万式.在运行中发现高压气机故障时,上位机有时无任何故障信号;有时高压气机不能正常建压;两台高压气机频繁切换启动打气等一系列问题.通过时所出现的问题及气机PLC控制流程的分析研究,提出相应的解决方案及对气机PLC控制...     

Recent network design techniques using evolutionary algorithms

As social systems based on computer networks are more complicated, the optimization problems in network systems have been drawing the attention of many related researchers. Recently, genetic algorithms (GAs) have achieved a great advancement in related research fields, such as combinatorial optimization, multiobjective optimization, and so on. In this paper, we consider hybrid GAs (called spanning tree-based GAs) for difficult-to-solve network design problems inherent in industrial engineering and computer communication networks, such as degree-constrained minimum spanning tree problems, capacitated minimum spanning tree problems, fixed charge transportation problems, network topological design problems, and so on.     

Maximizing production rate and workload smoothing in assembly lines using particle swarm optimization

Particle swarm optimization (PSO) one of the latest developed population heuristics has rarely been applied in production and operations management (POM) optimization problems. A possible reason for this absence is that, PSO was introduced as global optimizer over continuous spaces, while a large set of POM problems are of combinatorial nature with discrete decision variables. PSO evolves floating-point vectors (called particles) and thus, its application to POM problems whose solutions are usually presented by permutations of integers is not straightforward. This paper presents a novel method based on PSO for the simple assembly line balancing problem (SALBP), a well-known NP-hard POM problem. Two criteria are simultaneously considered for optimization: to maximize the production rate of the line (equivalently to minimize the cycle time), and to maximize the workload smoothing (i.e. to distribute the workload evenly as possible to the workstations of the assembly line). Emphasis is given on seeking a set of diverse Pareto optimal solutions for the bi-criteria SALBP. Extensive experiments carried out on multiple test-beds problems taken from the open literature are reported and discussed. Comparisons between the proposed PSO algorithm and two existing multi-objective population heuristics show a quite promising higher performance for the proposed approach.     

A genetic algorithm based heuristic for two machine no-wait flowshop scheduling problems with class setup times that minimizes maximum lateness

Machine scheduling problem has been extensively studied by researchers for many decades in view of its numerous applications on solving practical problems. Due to the complexity of this class of scheduling problems, various approximation solution approaches have been presented in the literature. In this paper, we present a genetic algorithm (GA) based heuristic approach to solve the problem of two machine no-wait flowshop scheduling problems that the setup time on the machines is class dependent, and the objective is to minimize the maximum lateness of the jobs processed. This class of machine scheduling problems has many practical applications in manufacturing industry, such as metal refinery operations, food processing industry and chemical products production processes, in which no interruption between subsequent processes is allowed and the products can be grouped into families. Extensive computation experiments have been conducted to evaluate the effectiveness of the proposed algorithm. Results show the proposed methodology is suitable to be adopted for the development of an efficient scheduling plan for this class of problems in real life application.     

Indicators of Local Housing Affordability: Comparative and Spatial Approaches

This paper focuses on the measurement of local housing affordability problems. A number of different housing market indicators are offered that help identify the magnitude and nature of housing affordability problems and their geographic distribution. This interest is prompted by the predominance of housing affordability problems and the severity of the problems for many of the lowest income renter households. In addition, there is significant policy interest in "the national goal that every American family be able to afford a decent home in a suitable environment" (National Affordable Housing Act of 1990). This paper develops measures of the spatial distribution of affordability problems and implements measures of the mismatch between the demand and supply of housing affordable to the lowest income households.     

An integrated distribution routing model in multi-supply center system

A distribution routing problem with time constraint is one of the important problems in distribution and supply center management. This research is concerned with an integrated distribution routing problem for multi-supply centers based on improved genetic algorithm and graphical user interface (GUI)-type programming. In this research, we proposed a method based on a three-step approach: in step 1 a sector clustering model is developed to transfer the multi-supply center problem to single supply center problems which are easier to be solved; in step 2 we developed a vehicle routing model with time constraints and in step 3 we developed a GA-TSP model which can improve the vehicle routing schedules. The objective of the problem is to minimize the logistic cost for a set of customers without being tardy or exceeding the capacity or travel time of the vehicles. For computational purpose, we developed a GUI-type computer program according to the proposed methods and the sample outputs show that the proposed method is very effective on a set of standard test problems, and it could be potentially useful in solving the distribution routing problems.     

Characterizing the Real Roots for P,A, and F with Applications to Environmental Remediation and Home Buying Problems

Historically, work on multiple roots for the internal rate of return (PW = 0) equation focuses on tests for the root's uniqueness and interpreting the meaningfulness of computed roots. Instead, this article starts with problems that consist of P, A, and F cash flows. Then for all possible values of these cash flows, this article develops the boundary conditions for no, single, and multiple real roots of either positive or negative sign.

The results of characterizing these roots are applied to two examples as a foundation for conclusions about those multiple root problems and hypotheses about other problems with multiple roots. The first example is an important class of resource development projects that may require significant expenditures for environmental remediation at the conclusion of operation. The second example of buying versus leasing a home is often used to demonstrate the value of economic analysis to students.     

对甘肃高耗能行业发展的建议

从甘肃省高耗能行业发展的现状及问题出发,主要分析了电耗水平高、产业集中度低、企业转型缓慢这些影响高耗能行业发展的原因,在此基础上结合对甘肃高耗能行业发展优势的分析,提出了进一步发展高耗能行业的建议,为解决高耗能行业发展中遇到的问题提供了思路。     

Tabu search for minimizing total tardiness in a job shop

This paper presents a tabu search approach to minimize total tardiness for the job shop scheduling problem. The method uses dispatching rules to obtain an initial solution and searches for new solutions in a neighborhood based on the critical paths of the jobs. Diversification and intensification strategies are suggested. For small problems the solutions’ quality is evaluated against optimal solution values and for large problems the tabu search performance is compared with two heuristics proposed in the literature.     

A fast method for analysing and improving complex software processes

This paper presents a simple, fast method (or management tool) for the analysis and improvement of software-intensive complex products and systems (CoPS) called software analysis-software improvement (SA-SI). The tool relies on outside intervention, rapid data collection and structured in-company workshops. The distinctive feature of the method is that it focuses on the 'soft', human side of the software development process and examines and compares formal (or rational) processes ('what should be') with real, actual practices ('what is'), in order to identify problems, their causes and strategies for improvement. The tool complements existing formal approaches by delivering a 'bottom up', grass roots, practitioner view of real processes in action. The purpose of SA-SI is to help overcome the severe problems of measuring, analysing and improving performance in large scale, complex software projects. An illustrative case example (Company X) is used to show how the tool is applied and how it confronts the problem of actual/real processes differing from ideal/formal processes. It also shows how SA-SI is used to identify process 'hot spots'(severe problems), analyse their causes and identify solutions. The paper provides guidance on typical problems encountered in running SA-SI and how to overcome them. It also shows how the tool has been modified and extended to deal with other complex domains and innovation management issues. Although SA-SI cannot be a substitute for a change programme, it can play a useful part in complementing ongoing improvement activities. From a research perspective, the method helps link up studies from the organisational development and software fields and assists in 'closing the loop' between innovation research and business practice.