Proceedings of the 30th conference on Winter simulation
Simulation of the drug development process: a case study from the pharmaceutical industry
Proceedings of the 32nd conference on Winter simulation
Productivity improvement: shifting bottleneck detection
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Discrete event simulation for batch processing
Proceedings of the 38th conference on Winter simulation
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The main purpose of this paper is to introduce a new framework to more efficiently investigate the high-speed production line in order to find out improving scenarios which could reduce the bottleneck effect and increase the production line output. A pharmaceutical company named Exir in Tehran, Iran was chosen to study the framework applicability. The proposed methodology integrates the simulation model of the line and bottleneck detection methods. Bottleneck detection methods could detect machine bottleneck by using the simulation model outputs. The improving scenarios could be designed based on bottleneck detection results. These scenarios are run in simulation model and evaluated upon desired performance measurements such as average daily production. The results analysis indicates that the average daily production could be increased by 20%.