Computer job scheduling is often performed with little understanding of the formal properties of the jobs being scheduled. One reason for this is that optimal solutions for job scheduling on computers are difficult to obtain if the job stream has mixed objectives, i.e., it consists of some jobs whose turnaround time has to be minimized and others whose deadlines must be met. A practical algorit...

Job shop scheduling (JSS) is a problem which involves an assignment of a set of tasks to the machines in a predefined sequence in order to optimize one or more objectives considering job performance measures of the system. It’s a multi-objective, multi-criteria optimization problem. A job shop environment consists of ‘n’ jobs. Each job has a given machine routine in which some machines could be...

Job shop scheduling problems play an important role in both manufacturing systems and industrial process for improving the utilization of resources, and therefore it is crucial to develop efficient scheduling technologies. The Job shop scheduling problem, one of the best known production scheduling problems, has been proved to be NP-hard. In this paper, we present a parallel and agent-based loc...

1 In this paper we study hierarchical job scheduling strategies for clusters of workstations. Our approach uses two-level scheduling: global scheduling and local scheduling. The local scheduler refines the scheduling decisions made by the global scheduler, taking into account the most recent information. In previous work, we explored the First Come First Served (FCFS), the Shortest Job First (S...

The batch processing machines (BPMs) have the ability to process more than one job together (called a batch). So the scheduling problem of the BPMs concerns not only the priorities of the jobs obtaining the processing service of a BPM, but the number of the jobs processed together on them. According to diverse classified criteria (such as the number of the BPMs and the job families), the schedu...

We present a variant of Pfair scheduling, which we call early-release fair (ERfair) scheduling. Like conventional Pfair scheduling, ERfair scheduling algorithms can be applied to optimally schedule periodic tasks on a multiprocessor system in polynomial time. However, ERfair scheduling di ers from Pfair scheduling in that it is work conserving. As a result, average job response times may be muc...

In this paper we study specially structured two stage flow shop scheduling problem with jobs in a string of disjoint job blocks having sequence independent setup times separated from processing times each associated with their respective probabilities including job weightage. In flow shop scheduling optimization of elapsed time may not always result in optimization of utilization time. Here, th...

This research introduces three heuristic algorithms for solving job-shop scheduling problems, job-shop scheduling problems with multi-purpose machines, and open-shop scheduling problems. All these algorithms are based on the particle swarm optimization algorithm, and generate solutions that belong to the class of parameterized active schedules via their specific decoding procedures. Comparison ...

O-Hoon Kwon*, Jong Kim*, SungJe Hong*, and Sunggu Lee** *Dept. of Computer Science and Engineering **Dept. of Electronic and Electrical Engineering Pohang University of Science and Technology San 31 Hyoja Dong, Pohang 790-784, KOREA Phone : +(82)-562-279-2257, Fax : +(82)-562-279-2299 E-mail : [email protected] Abstract As application areas that have real-time requirements become diverse and p...

In most real production environment, schedules are usually inevitable with the presence of a variety of unexpected disruptions. Thus it is necessary to develop predictive/reactive schedules which can absorb disruptions while maintaining high shop performance. In this paper, a robust predictive/reactive scheduling method is developed for solving job shop scheduling in dynamic environment. It con...