Ortiz, C.; Quezada, L.; Oddershede, A. Industrial Process Management Model to Improve Productivity and Reduce Waste. Sustainability2024, 16, 1606.
Ortiz, C.; Quezada, L.; Oddershede, A. Industrial Process Management Model to Improve Productivity and Reduce Waste. Sustainability 2024, 16, 1606.
Ortiz, C.; Quezada, L.; Oddershede, A. Industrial Process Management Model to Improve Productivity and Reduce Waste. Sustainability2024, 16, 1606.
Ortiz, C.; Quezada, L.; Oddershede, A. Industrial Process Management Model to Improve Productivity and Reduce Waste. Sustainability 2024, 16, 1606.
Abstract
: One of the challenges facing operations management is the design, choice and imple-mentation of action plans adapted to the magnitude of the deviations of the variables of an industrial process. Making conscious and quick decisions is crucial to achieving im-provements in productivity. This will be achieved if the organization's internal and external communication model is strategically designed, considering specific cultural factors and the symmetry or asymmetry required in the communication model.
However, how do we organize ourselves and through what channels do we communicate within a production process to generate Big Data that combines data from technologies and the perception, comprehension and projection of experienced humans? Our purpose is to create an operations management model that facilitates the incorporation of technology, allows a prompt response to failures, and promotes the sustainability of processes, without losing sight of its alignment with the organizational strategy.
The developed model was implemented in an operations management team, following the guidelines of an action researcher methodology. This resulted in the design of an operations management model and a detailed methodology for its implementation, achieving sig-nificant improvements in the metrics of the current process, making it a success story.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
