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Conceptual Model for Measuring Complexity in Manufacturing Systems

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Proceedings of Third International Conference on Sustainable Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1404))

Abstract

Conceptual models have proven to be a technique that, from a point of view of the transmission of an idea, facilitates the elaboration of a coherent structure to support the visualization and understanding of a process. The objective of this article is to design a model that supports the application of mathematical models, providing relevant, structured and organized information and helping manufacturing decision makers with a greater procedural understanding. Methodologically, three views were constructed, one physical, functional and the other informational, in order to have clarity of the elements and characteristics in the measurement of complexity, from a subjective perspective with the complexity index (CXI) method and objectively with the Shannon’s entropy model. The findings provide answers to the hypotheses raised, which corroborate that the conceptual models support and ensure a greater understanding and comprehension for the measurement of complex scenarios. At the same time, the structured elaboration of a hybrid model based on heuristics of complexity indexes and entropic measurements is evidenced.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Grupo de Investigación Ciptec, Fundacion Universitaria Tecnológico Comfenalco, Cartagena, Colombia

    Germán Herrera Vidal

  2. Universidad Lomas de Zamora, Lomas de Zamora, Argentina

    Germán Herrera Vidal

  3. Universidad de la Costa, Barranquilla, Colombia

    Jairo Rafael Coronado-Hernández & Andrea Carolina Primo Niebles

Authors
  1. Germán Herrera Vidal
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  2. Jairo Rafael Coronado-Hernández
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  3. Andrea Carolina Primo Niebles
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Corresponding author

Correspondence to Germán Herrera Vidal .

Editor information

Editors and Affiliations

  1. Department of Computer Science, CHRIST (Deemed to be University), Bengalore, Karnataka, India

    Ramesh Chandra Poonia

  2. Department of Computer Science and Engineering, Manipal University, Jaipur, Rajasthan, India

    Vijander Singh

  3. Faculty of Computing and Informatics, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  4. Data Science Research Group, National University of La Pampa, Santa Rosa, Argentina

    Mario José Diván

  5. Department of Computing, East Tennessee State University, Johnson City, TN, USA

    Mohammed S. Khan

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Vidal, G.H., Coronado-Hernández, J.R., Niebles, A.C.P. (2022). Conceptual Model for Measuring Complexity in Manufacturing Systems. In: Poonia, R.C., Singh, V., Singh Jat, D., Diván, M.J., Khan, M.S. (eds) Proceedings of Third International Conference on Sustainable Computing. Advances in Intelligent Systems and Computing, vol 1404. Springer, Singapore. https://doi.org/10.1007/978-981-16-4538-9_19

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