The role of work-in-process inventory in serial production lines
Operations Research
Buffer allocation in unreliable production lines using a knowledge based system
Computers and Operations Research
Simulation optimization methodologies
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation optimization: a survey of simulation optimization techniques and procedures
Proceedings of the 32nd conference on Winter simulation
Integrating optimization and simulation: research and practice
Proceedings of the 32nd conference on Winter simulation
Panel: simulation optimization: future of simulation optimization
Proceedings of the 33nd conference on Winter simulation
Productivity improvement: shifting bottleneck detection
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Productivity improvement: throughput sensitivity analysis using a single simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Operator-paced assembly line simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Optimal buffer allocation in finite closed networks with multiple servers
Computers and Operations Research
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Allocating buffers in manufacturing systems is one of easiest ways to improve the throughput of the system, as changes can be implemented quickly and the initial cost of the change is low. Yet, while an increase in the buffer size usually increases the throughput, it often also increases the work in progress and the makespan, therefore increasing the inventory and the time to the customer. Subsequently, the trade off between the throughput, the work in progress, and the makespan are of significant research interest. This paper describes a general prediction model of these performance measures for different buffer size increases based on only a single simulation. A fully automated implementation of the simulation analysis and prediction model for manufacturing systems of any size and complexity is available. The method can be used for flow shops, job shops, and serial or parallel systems.