dc.creatorOchoa-González, Olmedo
dc.creatorCoronado Hernández, Jairo Rafael
dc.creatorMacías-Jiménez, Mayra
dc.creatorRomero-Conrado, Alfonso R.
dc.date.accessioned2020-10-30T16:44:10Z
dc.date.available2020-10-30T16:44:10Z
dc.date.created2020-10-30T16:44:10Z
dc.date.issued2020
dc.identifierOchoa-González O., Coronado-Hernández J.R., Macías-Jiménez M.A., Romero-Conrado A.R. (2020) Quality Improvement in Ammonium Nitrate Production Using Six Sigma Methodology. In: Saeed K., Dvorský J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science, vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_15
dc.identifier978-3-030-47678-6
dc.identifierhttps://hdl.handle.net/20.500.12585/9519
dc.identifierhttps://link.springer.com/chapter/10.1007/978-3-030-47679-3_15
dc.identifier10.1007/978-3-030-47679-3_15
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio Universidad Tecnológica de Bolívar
dc.description.abstractSix sigma has been used in different industries to reach operational excellence. However, in the chemical industry, the application of this methodology is limited. This research presents an implementation of the six sigma method for ammonium nitrate (AN) content optimization in condensate production for a fertilizer company in Colombia. The paper aims to determine the levels for input variables in the process, to meet desirable standards for condensate quality in terms of ammonium nitrate content. Based on the DMAIC steps implementation, it was possible to establish the main variables affecting the condensate quality and their optimal levels to reach an ammonium nitrate content below 15,000 ppm. These results demonstrate the impact that a six sigma project may have on operational effectiveness and quality improvement for meeting the customer requirements.
dc.languageeng
dc.publisherCartagena de Indias
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourceLecture Notes in Computer Science book series (LNCS, volume 12133)
dc.titleQuality Improvement in Ammonium Nitrate Production Using Six Sigma Methodology


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