Simulation Model of a Quality Control Laboratory in the Pharmaceutical Industry EVALUATED
In the last decades the pharmaceutical industry has been through many changes, as a result of increased competition, patents expiration and increased drug quality standards requirements. In order to compete against peers, drug manufacturer started to be more concerned on achieving operational excellence through the optimization of all process involved in drug manufacturing. During its development, a drug must be constantly monitored with laboratory tests. In this scenario, quality control laboratories are critical components in drug manufacturing, and inefficiencies in laboratory management can have a major impact on the overall supply chain service level. The aim of this thesis is to build a Discrete Event Simulation model of a Quality Control laboratory. To achieve this objective, a generic framework for information treatment and organization was built. In particular, information coming from different databases was organized into a single one that was used as input to a discrete event simulation model. The proposed model represents in detail the work flow of a quality control laboratory and it is intended as a support tool for planning, scheduling and decision making. The model was validated using real data, and it resulted effective to estimate performance parameters such as, system throughput, equipment usage rate, system responsiveness and tasks processing times. Furthermore, the simulation model was tested with an alternative scheduling policy to evaluate how modifications on the system may improve its performance.
Novembro 2, 2016, 10:30
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