Job Scheduling and Workload Automation can be applied to a variety of businesses and industries. For example, online retailers can use job scheduling to automate the fulfillment process while also reducing labor costs associated with manual order processing. In addition, healthcare organizations can ut...
This paper addresses job-shop scheduling problems with deteriorating jobs, i.e. jobs whose processing times are an increasing function of their starting time. A simple linear deterioration is assumed and our objective is makespan minimization. We provide a complete analysis of the complexity of flow...
In contrast to job shop scheduling, some maintenance scheduling problems consider which activities to schedule within a planned maintenance period, rather than seeking to minimize the total time taken by the activities. The constraints on which parts may be taken out of service for maintenance at pa...
SchedulingLearning effectResource allocationTime complexityIn a recent paper (He et al. in J Comb Optim 33(2):626鈥 644, 2017), the authors considered single machine resource allocation scheduling with general truncated job-dependent learning effect. For the convex resource consumption function and ...
The job scheduling problem in a partitionable mesh-connected system in which jobs require square meshes and the system is a square mesh whose size is a power of two is discussed. A heuristic algorithm of time complexity O(n(log n+log p)), in which n is the number of jobs to be sche...
We show that finding minimum finish time preemptive and non-preemptive schedules for flow shops and job shops is NP-complete. Bounds on the performance of ... T Gonzalez,S Sahni - 《Operations Research》 被引量: 793发表: 1978年 The complexity of flow shop and job shop scheduling | ; ....
Job scheduling software automates IT processes whether batch jobs, scripts, or complex workflows, across your entire enterprise. Learn how a job scheduler can better help you define, manage, and monitor critical jobs.
We study scheduling problems with release times and rejection costs with the objective function of minimizing the maximum lateness. Our main result is a PT
Their algorithm can be applied to both of these sub cases, and the resulting time complexity becomes O(r6). In this section, we propose an algorithm based on DP with better time Case 3: Scheduling with α jobs We consider a more general case with α jobs consisting of a joint job J1,...
This paper investigates a scheduling model with certain co-existing features of serial-batching, dynamic job arrival, multi-types of job, and setup time. In this proposed model, the jobs of all types are first partitioned into serial batches, which are then processed on a single serial-batchin...