适合柔性生产的调度技术

具有竞争力的生产组织要求精益化和柔性的数据处理方法，用于订单计划的制订以及订单的执行。现代生产调度技术严格遵循企业流程，并有效支持所有生产后勤工作部门的应用者。其结果是低成本、经改善的供货能力和员工更高的积极性。     

制造业车间作业计划与调度研究

基于车间作业计划( Production Activity Control,PAC)是企业生产计划的最终环节,且其对制造领域里的经营管理效率起着支撑作用,因此针对当前企业存在的诸多问题,在系统分析了作业的特点以及对PAC编制的来源及过程的总结基础上,科学地归纳出制造业领域的车间作业计划(PAC)与调度流程,并给出了相应...     

柔性制造系统生产中的零件分批算法

根据ＦＭＳ资源、加工任务、零件工艺提出了零件分批算法，该算法在零件交货期的束下，以机床负荷平衡为目标，搜索零件集合，找出最合适的零件组合形成零件加工批。此算法为简化ＦＭＳ的动态调度和提高系统生产率创造了条件。仿真结果表明分批算法是行之有效的。     

Flexible Mixed-Integer Programming Formulations for Production Scheduling Problems

We present an approach to modeling practical dynamic production planning problems with product sequencing considerations that yields a significant reduction in the number of required binary variables over traditional approaches and improves the structure of special ordered sets which can be exploited in state-of-the-art mixed integer programming codes. In addition, the variable definition enables the modeler to develop a wide variety of objective functions, thus facilitating model development and interpretation.     

An Artificial Intelligence Approach to the Scheduling of Flexible Manufacturing Systems

Scheduling in a flexible manufacturing system (FMS)must take into account the shorter lead-time, the multiprocessing environment, the flexibility of machine tools, and the dynamically changing states. The scheduling approach described in this paper employs a knowledge-based system to carry out the nonlinear planning method developed in artificial intelligence. The state-space process for plan-generation, by either forward- or backward-chaining, can handle scheduling requirements unique to the FMS environment. A prototype of this scheduling system has been implemented on a LISP machine and is applied to solve the scheduling problem in flexible manufacturing cells. This scheduling method is characterized by its knowledge-based organization, symbolic representation, state-space inferencing, and its ability for dynamic scheduling and plan revision. It provides a foundation for integrating intelligent planning, scheduling, and machine learning in FMSs.     

Troughput Rate Maximization In Flexible Manufacturing Cells

A flow control method is presented which maximizes throughput rate in a flexible cell operating in a stochastic environment. Cell status is observed at discrete points in time and associated flow control plans are developed using a linear programming model. The flow control plans are then implemented using simple dispatching rules. The performance of the proposed discrete time control method is evaluated via comparison to other methods using hypothetical cell operations. Further research issues are discussed.     

印刷生产系统中柔性制造集成策略研究

论述了柔性印刷生产系统的整体设计方案和主要技术,提出了一套适宜印刷生产系统的柔性制造集成策略。该策略将JDF技术、多Agent系统和柔性制造系统的研究成果应用于印刷生产系统中的柔性制造集成的设计与开发中,保证了策略的可行性。     

模具企业生产调度管理系统的研究

为适应模具企业新的生产方式,本文提出了一种结合合同网协议、GPGP协同机制和TAEMS任务描述语言的任务分配和调度方法,并建立层/级结构的整体框架和各级调度策略.该方法从整体的角度分析问题,提高了调度结果的一致性和优化性.初步的验证表明该方法是有效的.     

基于OPC的柔性制造单元控制信息系统设计与实现

柔性制造单元的控制信息系统是整个柔性制造单元的核心,为使得该系统具有很好的开放性、柔性、和集成性,本文设计了基于OPC的柔性制造单元控制信息系统,最后对OPC服务器程序的开发做了具体介绍。     

A Three Phased Approach To Final Exam Scheduling

A multi-phase examination scheduling process applicable to large university settings in general and SUNY at Buffalo (SUNYAB) in particular is proposed. Each scheduling phase is considered an integral part of the overall scheduling process and solved independently. Phase one of scheduling process is wth the assignment of examinations to exam blocks (each containing one or more exams). The objective of this phase is to minimize the number of students taking more than one exam in the same exam block. The problem is solved using a variation of the quadratic assignment problem. Phase two of the scheduling process uses the results from phase one as input. The exam blocks are assigned to exam days in such a way that some measure of students' comfort is maintained. Phase two of the scheduling process is formulated as a set covering problem with an extra constraint. Phase three of the scheduling process which is involved wt h the assignment of exam blocks to exam periods in each day and optimal ordering of exam days is solved heuristically using a traveling salesman problem as part of solution procedure. The performance of the algorithms devised for the multi-phase scheduling process are tested both in terms of quality of the solutions obtained and the computer time to generate these solutions.     

Evaluating Flexible Manufacturing Systems

Many firms are considering Flexible Manufacturing Systems (FMS) as a means for increasing productivity, quality and profitability. In this paper a methodology for properly comparing and evaluating FMS's is presented, The appropriate financial criteria are presented. Mathematical models of different FMS's are presented. The important stochastic variables are determined. The principles of stochastic dominance, risk preference and the value of information; and a decision analysis cycle are used to evaluate the FMSY     

Monotonicity in Optimal Policy of a Flexible Manufacturing Cell Feeding Several Production Lines

This paper deals with an optimal part selection problem tominimize the expected cost, in an automated manufacturing system in which a flexible manufacturing cell produces different parts for several production lines. The optimal control problem is formulated as an undiscounted semi-Markov decision process. Properties of the optimal policy are analyzed. Moreover, sufficiency conditions are derived for the optimal policy to be of control iimit type.     

HgCdTe分子束外延柔性制造技术研究

报道了近年来在ＨｇＣｄＴｅ分子束外延柔性制造技术研究中取得的初步结果,并对面临的任务进行了讨论。研究表明：ＨｇＣｄＴｅ分子束外延薄膜具有很好的组分均匀性、表面形貌、电学参数以及组分可重复性。用分子束外延ＨｇＣｄＴｅ薄膜成功地研制出了３２×３２红外焦平面器件。     

Models for Understanding Flexible Manufacturing Systems

The basic features of flexible manufacturing systems are reviewed and models for determining the production capacity of such systems are developed. These models show the desirability of a balanced work load, the benefit of diversity in job routing if there is adequate control of the release of jobs (a job shop can be better than a flow shop), and the superiority of common storage for the system over local storage at machines. The models are extended to allow for material handling delays between machines and for unreliable machines. It is also shown that production capacity models can be used to develop good approximations to the mean number of jobs in the system for given job arrival rates and machine utilizations.     

流程制造业生产作业计划模式研究

生产作业计划的制定在企业中占有重要的地位，ＭＲＰⅡ已被广泛应用。本文试图通过一个案例介绍一种在流程制造业更为有效的生产计划模式－过程流计划（ＰＦＳ）。     

全能制造系统及其任务调度

在分析全能体的自制性和协作性的特点的基础上,指出全能制造系统具有递阶控制系统的全局优化特性和协同控制系统的抗干扰能力,同时摒除了递阶控制系统的刚性和协同控制系统的大信息流通量的问题。给出并分析了基于全能制造系统的ＰＲＯＳＡ体系结构,提出并研究了在全能制造系统中如何通过辅助全能和合同网协议,共同实现任务高度的全局最优性和柔性的方法。     

改进遗传算法解决柔性作业车间调度问题

柔性作业车间调度问题是经典作业车间调度问题的扩展,它允许工序在多台机器中的任意一台上加工.针对柔性作业车间调度问题的特点,提出一种扩展的基于工序的编码及其主动调度的解码机制,并设计一种初始解产生机制和两种有效的交叉和变异操作.为了克服传统遗传算法早熟和收敛慢的缺点,设计了精英解保留策略和子代产生模式结合的改进遗传算法应用于该调度问题.最后运用提出的算法求解基准测试问题验证算法的有效性.     

Efficient Implementation of Johnson's Scheduling Algorithm

An efficient implementation of Johnson's algorithm for n job two machine scheduling problem has been developed. Computational complexity of the proposed scheduling algorithm is O (nlogn).     

FMS统计过程控制技术的研究

对统计过程控制技术在柔性控制系统中的应用进行了研究，主要研究内容包括：适用于多品种、小批量生产的质量控制图；基于神经网络的质量控制图异常模式自动识别技术。     

加工回转体零件的柔性制造系统

概述了柔性制造系统的组成、各部分功能以及维护等方面的内容,为了解认识FMS提供了背景知识,旨在推广FMS的应用范围.