柔性物流技术在生产中的应用

东风汽车公司立足于自己特殊的地理环境及发展历程，经过30年的实践和探索，形成适合自身的物流组织，如：采用合理的计划实施多品种混流和同步化生产、对跨厂际零部件采用物流组织配送制等，运用MRP与JIT相结合的先进的自动化采集技术，建立管理信息系统，使企业的生产经营工作取得了同步的发展。     

Integrating scheduling and control functions in computer integrated manufacturing using artificial intelligence

Proper integration of scheduling and control in Flexible Manufacturing Systems will make available the required level of decision-making capacity to provide a flexibly-automated, efficient, and quality manufacturing process. To achieve this level of integration, the developments in computer technology and sophisticated techniques of artificial intelligence (AI) should be applied to such FMS functions as scheduling. In this paper, we present an Intelligent Scheduling System for FMS under development that makes use of the integration of two AI technologies. These two AI technologies — Neural Networks and Expert Systems — provide the intelligence that the scheduling function requires in order to generate goodschedules within the restrictions imposed by real-time problems. Because the system has the ability to plan ahead and learn, it has a higher probability of success than conventional approaches. The adaptive behavior that will be achieved contribute to the integration of scheduling and control in FMS.     

A methodology for investigating effects of cell size on operational flexibility in flexible manufacturing systems

There are two aspects to cell formation in flexible manufacturing systems, cell sizing or deciding on the optimum number of machines to be allocated to each cell, and then allocation of specific machines to each cell. Although the latter problem has been investigated extensively there is a paucity of published work on the former. This paper discusses the effects of cell sizing on operational flexibility.Operational flexibility is that aspect of flexibility that enables manufacturing systems to respond with speed and efficiency to changes in the manufacturing environment while maintaining an effective level of control.     

Lyapunov analysis of the approximate motion equations of flexible structures

In this paper, the effectiveness of the approximate motion equations of a flexible structure, obtained by the RitzKantorovich method, is analysed by using Lyapunov functions. The analysis, which is restricted to the case of a single flexible beam for the sake of simplicity, is carried out under the assumption that a partial dissipation is present, affecting only the first degrees of freedom of the system. By means of suitable Lyapunov functions, an overbounding estimate of the quadratic approximation error is determined as a decreasing function of the approximation order. The analysis is completed by considering the two ‘extreme’ cases: the theoretical absence of dissipation and the presence of structural dissipation, affecting all the infinite degrees of freedom.     

大碎石柔性基层沥青性能分析

用沥青大碎石柔性基层对旧路面进行补强，可以有效地提高路面的使用性能，减少反射裂缝的产生，延长道路的使用寿命。对沥青大碎石柔性基层用加德士AH-70、SBS改性沥青和MAC改性沥青分别进行试验，通过试验结果和经济性能对比分析，找到适合此结构的最佳沥青。     

Scheduling Optimization Modelling: A Case Study of a Woven Label Manufacturing Company

Production scheduling involves all activities of building production schedules, including coordinating and assigning activities to each person, group of people, or machine and arranging work orders in each workplace. Production scheduling must solve all problems such as minimizing customer wait time, storage costs, and production time; and effectively using the enterprise’s human resources. This paper studies the application of flexible job shop modelling on scheduling a woven labelling process. The labelling process includes several steps which are handled in different work-stations. Each workstation is also comprised of several identical parallel machines. In this study, job splitting is allowed so that the power of work stations can be utilized better. The final objective is to minimize the total completion time of all jobs. The results show a significant improvement since the new planning may save more than 60% of lead time compared to the current schedule. The contribution of this research is to propose a flexible job shop model for scheduling a woven labelling process. The proposed approach can also be applied to support complex production scheduling processes under fuzzy environments in different industries. A practical case study demonstrates the effectiveness of the proposed model.     

液压机本体柔性化设计相关技术的研究

针对液压机本体设计特点，在液压机本体CAD应用系统的开发中，引入了柔性化设计的概念，以Pro／E为建模后台、VB6．0为操作语言，研究了柔性化设计的相关技术，并提出了相关解决方案，并为以：Pro／E为后台的应用系统的开发提供了一种可行方案。     

阻燃性软质聚氨酯泡沫塑料的研制

以自制的聚醚多元醇为原料，加入经粉碎并表面处理的三聚氰胺和阻燃剂Ｔ２０１制得阻燃性软质聚氨酯泡沫塑料。系统地考察了配方中的两种阻燃剂用量，特种聚醚多元醇和泡沫密度对泡沫塑料阻燃性和物理性能的影响。     

基于中文陈述句灵活语序的Lambek演算

目前,自然语言处理已从句法、词法层面走向轻量级语义层面。针对中文陈述句的自然语言处理,传统Lambek演算无法解决中文陈述句灵活语序的问题,而现有的方法加入模态词、新连接词等后,又进一步增加了已经是NP-hard的Lambek演算的复杂性,因此并不适合计算机的相关处理。基于此,采用加标动词匹配的Lambek演算对中文陈述句灵活语序进行处理。加标动词匹配算法的时间复杂度低,使得计算机及其程序能有效地对中文陈述句灵活语序进行处理,并能通过Curry-Howard对应理论与λ-演算引入轻量级语义处理。     

柔性石墨纸轧机动刚度薄弱部位辨识与优化

借助谐响应分析辨识出柔性石墨纸轧机动刚度的薄弱环节,并利用灵敏度分析方法建立该环节的优化数学模型,进而实现对整机动刚度的提升。通过对各部件刚度提升前后的柔性石墨纸轧机进行模态分析,并对比各部件对整机固有频率的影响,辨识出薄弱部位为底座,故以底座为优化对象;将牌坊Y向共振频率对底座尺寸的灵敏度曲线拟合得出优化目标函数,以Y向共振频率为优化目标,质量为约束条件建立优化方程并求解;对比优化前后整机的动刚度,得出:在质量不增加的情况下,整机薄弱频率提升了24.1%,Y向振幅降低了15.9%。为提高优化效率提供了理论依据和参考。