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Manufacturing Process Coordination through Visual Analytics Tools

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PUPR_CEAH_SJU_FA22_MME_Alex Concepción_Article (676.7Kb)
PUPR_CEAH_SJU_FA22_MME_Alex Concepción_Poster (564.6Kb)
Date
2022
Author
Concepción, Alex Jaime
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Abstract
This research project was focused on the identification of requirements and the design of a software application toolset, which facilitates and improve the coordination of pharmaceutical manufacturing production steps. The objective was to increase the percentage of successfully completed production batches as established in the production plan. This improvement will be achieved by providing the real time generated knowledge that will enable take faster, accurate and reliable actions based on data. In order to create this new software application tool set, the DMADV[1] methodology was used. DMADV is an important Design for Six Sigma methodology used for developing a new or substantially innovate product, service, or process. The term DMADV stands for the five main steps in the process; Define, Measure, Analyze, Design and Validate. This research project will provide the framework and tools to a new assisted way, to coordinate the manufacturing process using a DMADV developed application toolset. Key Terms ⎯ DMADV, Knowledge based actions, Operational Intelligence, Plan Attainment.
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http://hdl.handle.net/20.500.12475/1787
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