Online Scheduling with Hard Deadlines

We study non-preemptive, online admission control in the hard deadline model: each job must either be serviced prior to its deadline or be rejected. Our setting consists of a single resource that services an online sequence of jobs; each job has a length indicating the length of time for which it needs the resource and a delay indicating the maximum time it can wait for the service to be started. The goal is to maximize total resource utilization. The jobs are non-preemptive and exclusive, meaning once a job begins, it runs to completion, and at most one job can use the resource at any time. We obtain a series of results, under varying assumptions of job lengths and delays.     

带强制工期的可中断单机排序问题

工件带强制工期,指工件必须在已给定的工期内完工,不得延迟.这种环境在实际应用中随处可见.如果工件过早提前完工,意味着工件还需要保管,将会产生额外费用.本文讨论了在单机上,加工带准备时间与强制工期的n个可中断工件,在机器可空闲条件下,确定一个工件排序,使得提前完工时间和最小.先考虑了问题的复杂性,通过奇偶划分问题归约,证明了其是NP-complete的.而后,讨论了加工时间相等的特殊情形,由于工件不允许延迟,问题可能会无可行排序,因此提出了—个多项式时间算法,既能判定可行性,又能针对可行问题获得最优排序.     

Scheduling Independent Tasks with Deadlines on Semi-identical Processors

Given m semi-identical processors which are parallel processors all working with the same speed but in different time intervals of availability and n independent tasks with deadlines, the problem of constructing a feasible pre-emptive schedule is examined. We present an O (nm log n) time algorithm to construct such a schedule whenever one exists. We show that the number of induced pre-emptions is proportional to the total number of processing intervals and deadlines.     

Minimizing the Makespan in Nonpreemptive Parallel Machine Scheduling Problem

A new n log n algorithm for the scheduling problem of n independent jobs on m identical parallel machines with minimum makespan objective is proposed and its worst-case performance ratio is estimated. The algorithm iteratively combines partial solutions that are obtained by partitioning the set of jobs into suitable families of subsets. The computational behavior on three families of instances taken from the literature provided interesting results.     

可换速平行机工件带起止值的抢先进度表

本文讨论可换速平行机工件带起止值的抢先进度表模型,给出了工件在可换速平行机上存在可行的抢先进度表的充要条件;给出了一个以Ｏ（ｍ~（７／３）ｎ~３＋ｂｌｏｇｂ）为界的算法来构造一个可行的抢先进度表．     

Nonpreemptive flowshop scheduling with machine dominance

Flowshop scheduling deals with processing a set of jobs through a set of machines, where all jobs have to pass among machines in the same order. With the exception of minimizing a makespan on two machines, almost all other flowshop problems in a general setup are known to be computationally intractable. In this paper we study special cases of flowshop defined by additional machine dominance constraints. These constraints impose certain relations among the job processing times on different machines and make the studied problems tractable.     

A discrete-time queueing system with optional LCFS discipline

We consider a discrete-time queueing system in which the arriving customers decide with a certain probability to be served under a LCFS-PR discipline and with complementary probability to join the queue. The arrivals are assumed to be geometrical and the service times are arbitrarily distributed. The service times of the expelled customers are independent of their previous ones. We carry out an extensive analysis of the system developing recursive formulae and generating functions for the steady-state distribution of the number of customers in the system and obtaining also recursive formulae and generating functions for the stationary distribution of the busy period and sojourn time as well as some performance measures.     

Nonpreemptive open shop with restricted processing times

A polynomial time algorithm was given by Fiala for the nonpreemptivem-processor open shop problem whenever the sum of processing times for one processor is large enough with respect to the maximal processing time. Here a special case where all processing times are from a bounded cardinality set of nonnegative integers is studied. For such a situation we give anO(nm) algorithm while the algorithm of Fiala works inO(n ² m ³) wheren is the number of jobs.     

Nonpreemptive Multi-Server Priority Queues

Hokstad recently published an approximate method for calculating the behaviour of an M/G/m queue. This note applies his results to the nonpreemptive priority situation with two priority classes having the same service-time distribution. Laplace transforms and the first two moments of the waiting-time distributions are given.     

Invariance relations in single server queues with LCFS service discipline

This paper is concerned with single server queues having LCFS service discipline. We give a condition to hold an invariance relation between time and customer average queue length distributions in the queues. The relation is a generalization of that in an ordinary GI/M/1 queue. We compare the queue length distributions for different single server queues with finite waiting space under the same arrival process and service requirement distribution of customer and derive invariance relations among them.This research was supported in part by a grant from the Tokyo Metropolitan Government. The latter part of this paper was written while the author resided at the University of California, Berkeley.     

On the Single-machine Scheduling Problem with Tardiness Penalties

The n-job, single-machine total tardiness problem is considered in this paper. A branching algorithm based on three theorems is proposed to generate a reduced set of candidate sequences. The computational results indicate that the proposed algorithm provides a smaller set of candidate sequences than the DP algorithm of Schrage and Baker.     

非强占优先权下的M/M/1排队

分析带有两个优先权的非强占M/M/1系统的性能,用补充变量法构造向量马尔可夫过程对此排队系统的状态转移方程进行分析,得到两类顾客在非强占优先权的队长联合分布的母函数,进一步讨论,得出了服务台被两类顾客占有和闲置的概率以及两类信元各自的平均队长.     

On Scheduling Some Transport Systems with Discrete-Time Passenger Arrivals

A transportation system is operated with one vehicle and N service points. At one terminal of the system passengers arrive in groups only at discrete points in time; at the other service points, riders enter steadily at constant rates. Vehicle travel times between adjacent service points are random variables. The problem addressed in this paper is that of devising the operating strategy which minimizes average waiting time for passengers of the system. Using different kinds of probabilistic analysis, we obtain optimal policy statements both when the discrete-time arrivals occur at fixed instants of equal spacing, and when these arrivals occur in Poisson fashion. Some specific applications are discussed.     

一类带核的平行机排序问题

研究了一类工件具有相似加工时间的带核的平行机排序问题,运用ＬＰＴ算法求解,得到ＬＰＴ算法界的精确估计并对问题的某些情形,给出了界紧的例子。     

分类数很大时的成组排序问题

成组排序具有深刻的实际应用背景,是近年来国外研究得较多的一个热点.已有的某些动态规划算法的复杂性随分类数的增长呈指数型增长趋势,本文用“归并”和解不超过四个新的子问题的方法把分类数较大时的问题转化为分类数较小时的相应问题,简化了问题的求解.     

Index Heuristics for Multiclass M/G/1 Systems with Nonpreemptive Service and Convex Holding Costs

We consider the optimal service control of a multiclass M/G/1 queueing system in which customers are served nonpreemptively and the system cost rate is additive across classes and increasing convex in the numbers present in each class. Following Whittle's approach to a class of restless bandit problems, we develop a Langrangian relaxation of the service control problem which serves to motivate the development of a class of index heuristics. The index for a particular customer class is characterised as a fair charge for service of that class. The paper develops these indices and reports an extensive numerical investigation which exhibits strong performance of the index heuristics for both discounted and average costs.     

关于一类自由作业机器排序问题

文章研究文［１］中提出的加工时间依赖于机器的自由作业排序问题。Ｍ．Ｄｏｒｏｒ在［１］中提出了一个算法（算法３．４）。最近，Ａ．Ｊ．Ｖａｋｈａｒｉａ、Ｂ．Ｃａｔａｙ［２］及项思明、唐国春［３］均指出Ｍ．Ｄｏｒｏｒ的算法不是最优的。项思明和唐国春提出对这类问题在机器连续加工情形下的一种求解方法，即将排序问题化成指派问题。本文对这种解法作了简化，并回答文［３］中提出的几个问题。     

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Concerning the problem that network congestion risk of computer network service system for some data frames having a full priority of transmission, a method about nonpreemptive limited-priority M/M/n/m queuing system model was proposed. Firstly, as the parameter r of limited-priority was introduced into the model, the data frame with full priority was converted to the one with limited priority. Secondly, in order to lower the risk of computer network service system and stabilize the network system further, the fairness among different priorities was studied in the model. Moreover, by making use of Total Probability Theorem, three results of the models, the average waiting time, the average dwelling time and the average queue length were obtained.     

Scheduling with few changes

In this work we consider scheduling problems where a sequence of assignments from products to machines – or from tasks to operators, or from workers to resources – has to be determined, with the goal of minimizing the costs (=money, manpower, and/or time) that are incurred by the interplay between those assignments. To account for the different practical requirements (e.g. few changes between different products/tasks on the same machine/operator, few production disruptions, or few changes of the same worker between different resources), we employ different objective functions that are all based on elementary combinatorial properties of the schedule matrix. We propose simple and efficient algorithms to solve the corresponding optimization problems, and provide hardness results where such algorithms most likely do not exist.