Scheduling project networks with resource constraints and time windows
Annals of Operations Research
Simulation-based constraint generation with applications to optimization of logistic system design
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Production-distribution planning in supply chain considering capacity constraints
Computers and Industrial Engineering - Supply chain management
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
A classification of predictive-reactive project scheduling procedures
Journal of Scheduling
Simulation optimization for industrial scheduling using hybrid genetic representation
Proceedings of the 40th Conference on Winter Simulation
Scheduling Algorithms
A survey of dynamic scheduling in manufacturing systems
Journal of Scheduling
Robotics and Computer-Integrated Manufacturing
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We consider the problem of determining schedules for make-to-order production of companies that manufacture special purpose glasses. Due to sensitive raw materials and high quality specifications, scheduling is affected by disturbances arising from stochastic processing times and stochastic scrap rates. Scarce machine capacities, limited availability of transportation equipment, and technical or organizational temporal constraints lead to a complex planning problem. Hence, discrete-event simulation is valuable for analyzing the impact and robustness of alternative schedules, but it fails in efficiently guiding the search for optimal control parameters. In order to overcome this drawback, we propose a simulation-based optimization approach that relies on coupling simulation and optimization through a relaxation-based schedule generation procedure. Schedules are generated employing a mixed-integer programming model for which input parameters and additional constraints are iteratively derived using a simulation model. We evaluate our approach considering real-world instances and present preliminary computational results indicating its effectiveness.