One-machine rescheduling heuristics with efficiency and stability as criteria
Computers and Operations Research
Evaluation and comparison of production schedules
Computers in Industry - Special issue on advances in computer integrated production in honour of professor C.L. Moodie's retirement
An experimental benchmarking of two multi-agent architectures for production scheduling and control
Computers in Industry - Special issue on intelligent manufacturing systems
Automatic simulation model generation for simulation-based, real-time shop floor control
Computers in Industry
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
Multi-agent coordination and control using stigmergy
Computers in Industry
Dynamic rescheduling that simultaneously considers efficiency and stability
Computers and Industrial Engineering
A hybrid genetic algorithm for the job shop scheduling problems
Computers and Industrial Engineering
Production scheduling and rescheduling with genetic algorithms
Evolutionary Computation
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Dynamic scheduling of emergency department resources
Proceedings of the 1st ACM International Health Informatics Symposium
Disruption-driven resource rescheduling in software development processes
ICSP'10 Proceedings of the 2010 international conference on New modeling concepts for today's software processes: software process
Analyzing supply chain operation models with the PC-algorithm and the neural network
Expert Systems with Applications: An International Journal
Dynamic resource scheduling in disruption-prone software development environments
FASE'10 Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering
Proceedings of the Winter Simulation Conference
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The paper proposes a simulation-based evaluation technique for the testing, validation and benchmarking of rescheduling methods. Dynamic and stochastic scheduling problems with possible scheduling environments are presented. Based on our review of the related literature, frequently applied rescheduling approaches for solving dynamic and stochastic job-shop scheduling problems are analyzed. Schedule evaluation techniques, related measures, and simulation-based schedule evaluation solutions are also introduced and categorized. Certain stability-oriented evaluations of periodic and hybrid rescheduling methods are described for both single- and multi-machine (job-shop) cases. Finally, an industrial application of the proposed method is presented.