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.     

谈材料存货的期末计量

介绍了目前材料存货的期末计量方法,分析了其存在的问题并提出了改善的建议。     

浅谈如何合理利用土地资源——以山西省节约与集约利用土地为例

介绍了节约与集约利用土地的含义,通过对山西省土地节约与集约利用的研究,提出了有效利用土地资源的具体措施。     

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.     

苏联的战争目标与战后"冷战"的形成

二战中,苏联主要的战略目标是与盟国合作打败法西斯集团,并利用战胜之势为苏联的安全构筑势力范围,但势力范围的确定只是苏联的一个低层次的目标,它的深层考虑是通过苏联控制的势力范围,建立与资本主义对立的社会主义体系,从而确保苏联的国家安全及社会主义制度的安全.苏联目标与美国目标本质上的对立,使战后美苏不可能有真诚的合作,因而战后美苏冷战也是不可避免的.     

一种Cr─Mo─V冷轧辊钢回火工艺参数的研究

利用光学显微镜和电子显微镜对一种Cr－Mo－V冷轧辊钢淬火后的回火组织进行了观察．通过Hollomon关系式建立了该钢回火参数曲线，并在此基础上，建立了等效回方程，为该钢的热处理参数的选择提供必要的理论依据和试验依据．