A production rescheduling expert simulation system
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Publication:1577764
DOI10.1016/S0377-2217(99)00381-1zbMath1024.90033MaRDI QIDQ1577764
Publication date: 27 August 2000
Published in: European Journal of Operational Research (Search for Journal in Brave)
disturbancecombinatorial optimizationartificial neural networkdispatching rulesexpert knowledgejob shop reschedulingproduction rescheduling expert simulation system
Deterministic scheduling theory in operations research (90B35) Production models (90B30) Neural networks for/in biological studies, artificial life and related topics (92B20)
Related Items (8)
Reducing simulation models for scheduling manufacturing facilities ⋮ Decision making algorithm for a class of two‐level manufacturing systems ⋮ An approach to predictive-reactive scheduling of parallel machines subject to disruptions ⋮ Architecture of manufacturing scheduling systems: literature review and an integrated proposal ⋮ A survey of dynamic scheduling in manufacturing systems ⋮ Single hoist cyclic scheduling with multiple tanks: A material handling solution ⋮ Using MLP networks to design a production scheduling system ⋮ Polychromatic sets and its application in simulating complex objects and systems
Uses Software
Cites Work
- Simulated annealing: A tool for operational research
- ``Neural computation of decisions in optimization problems
- A block approach for single-machine scheduling with release dates and due dates
- Sequencing jobs on a single machine with a common due data and stochastic processing times
- On the minimization of the weighted number of tardy jobs with random processing times and deadline
- One-machine rescheduling heuristics with efficiency and stability as criteria
- Scheduling under a common due-date on parallel unrelated machines
- A knowledge-based controller with fuzzy reasoning used in process control
- An expert neural network system for dynamic job shop scheduling
- Dynamical Neural Network Approach to the Job-shop Scheduling
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