AVAILABILITY ANALYSIS OF THE QUEUEING SYSTEM GI/PH/I WITH SERVER BREAKDOWNS

In the existing literature of Repairable Queueing Systems (RQS), i.e., queueing systems with server breakdowns, it is almost all assumed that interarrival times of successive customers are independent, identically exponentially distributed. In this paper, we deal with more generic system GI/PH/1 with server's exponential uptime and phase-type repair time. With matrix analysis theory, we establish the equilibrium condition and the characteristics of the system, derive the transient and stationary availability behavior of the system.     

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.     

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。     

MARKOV DECISION PROGRAMMING-THE FIRST PASSAGE MODEL WITH DENUMERABLE STATE SPACE

In this paper,we discuss MDP with discrete time parameter-the firstpassage model with denumerable state space.Under assumption A in this paper,we prove that an ε(>0)-optimal stationary policy exists.To find an ε-optimalstationary policy,an algorithm of policy improvement iteration and a method ofsuccessive approximations are given.     

中国管理会计发展及对策

介绍了管理会计在我国的发展状况,阐述了未来我国发展管理会计时应注意的一些问题,探讨了我国管理会计的发展方向,并针对我国管理会计存在的问题提出了相应的对策.