FROM MANUFACTURING SCHEDULING TO SUPPLY CHAIN COORDINATION：THE CONTROL OF COMPLEXITY AND UNCERTAINTY

With time-based competition and rapid technology advancements, effective manufacturingscheduling and supply chain coordination are critical to quickly respond to changing marketconditions. These problems, however, are difficult in view of inherent complexity and variousuncertainties involved. Based on a series of results by the authors, decomposition and coordination byusing Lagrangian relaxation is identified in this paper as an effective way to control complexity anduncertainty.A manufacturing scheduling problem is first formulated within the job shop context withuncertain order arrivals, processing times, due dates, and part priorities as a separable optimizationproblem. A solution methodology that combines Lagrangian relaxation, stochastic dynamicprogramming, and heuristics is developed. Method improvements to effectively solve large problemsare also highlighted. To extend manufacturing scheduling within a factory to coordinate autonomicmembers across chains of suppliers, a decentralized supply chai     

Subset threshold autoregression

We develop in this paper an efficient way to select the best subset threshold autoregressive model. The proposed method uses a stochastic search idea. Differing from most conventional approaches, our method does not require us to fix the delay or the threshold parameters in advance. By adopting the Markov chain Monte Carlo techniques, we can identify the best subset model from a very large of number of possible models, and at the same time estimate the unknown parameters. A simulation experiment shows that the method is very effective. In its application to the US unemployment rate, the stochastic search method successfully selects lag one as the time delay and five best models from more than 4000 choices. Copyright © 2003 John Wiley & Sons, Ltd.     

《高等数学》学习方法探讨

从高等数学的知识体系及其学习的特点与基本要求入手,论述了学习高等数学的基本方法,即阐述了如何接收信息、如何消化材料和所学知识如何运用等问题。     

分布控制型供应链的多层规划模型研究

研究分布控制型供应链的生产、配送与库存决策问题,通过分析成员的独立决策行为,针对供应链系统上下层之间所具有的Stackelberg博弈特征,建立多层规划模型,最后利用交互式多层模糊算法进行求解.     

需求特征对供应链中企业资源再利用的影响分析

为了了解需求因素对供应链中企业资源再利用的影响,选取工业园上下游企业的相互联系为分析背景,建立企业间的供应链模型,研究了需求不确定性σ和需求弹性k对供应链中企业资源再利用的影响.模型仿真结果表明:对存在物料供需关系的2个企业来说,随着主产品需求不确定性σ的不断增大,2个企业的总利润π呈不断下降的趋势,销售损失和库存成本增加,企业资源再利用受到阻碍;随着弹性因子k的不断增大,需求批量与供给批量差距呈现出一种先减小后增大的趋势,总利润π减小,对企业资源再利用起到了负面的影响,阻碍其发展.     

矩阵链性的组合性质及其应用

通过对矩阵链性的研究,给出若干组合性质,并介绍它们在计数问题中的一些应用.     

连锁经营引领我国的流通现代化

介绍了连锁经营的起源与发展,对连锁经营如何引领我国的流通现代化进行了探讨。     

链式输送竹片软化机研究

简述了链式输送竹片软化机的设计指导思想和设计方案，重点介绍软化机的构成，参数的确定以及它的优点。     

关于严格循环权位移的一个问题

给出了一个内射单侧权位移,其权序列空间H~2(β)≠H~∞(β),但对任意φ(z)属于H~∝(β),其部分和序列按算子范数收敛于φ(z).从而否定回答了Shields在文献[1]中的第12问题.     

基于像素特征的路面裂缝图像自适应滤噪

分析了破损路面图像的像素点区域特征，针对不同区域提出加权邻域滤波和自适加权中值滤波算法。其权值是通过对图像中区域特征的推理得到的，所以算法中能根据图像的区域特征自适应的进行滤波。试验表明，本算法能够有效滤除噪声，并具有很好的细节保护能力。