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A Model for the Control and Monitoring of Supply Chain Indicators

  • Conference paper
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2nd EAI International Conference on Smart Technology

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

In the current competitive environment, companies are pushed to develop strategies to achieve operational excellence in pursuit of growth and profitability. A supply chain focuses primarily on reducing costs by optimizing its processes, achieving a service level that meets the required quality standards. Managing the success of the supply chain is considered an essential activity in any organization. Then, the effectiveness and efficiency of the supply chain can be determined through a performance measurement system focused especially on logistics processes. The proposal established in this research consists of a system that integrates auxiliary techniques in decision-making with the aim of establishing performance indicators within the supply logistics process. In addition, this system incorporates fuzzy logic in order to establish more realistic and robust metrics and with the ability to feed back indicators under uncertain environments or with a lack of information. The presented system is cyclical and adaptive, which includes techniques based on AHP, SCOR, and Fuzzy Logic, and they support the decision-maker in any environment, stage, or process of the supply chain by determining through projections if the objectives planted in the improvement plans have been achieved. Additionally, it identifies the attributes that impact on the supply chain and those that represent areas of opportunity to improve.

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Authors and Affiliations

  1. Universidad Autónoma de Nuevo León, Ciudad Universitaria, San Nicolás de los Garza, Nuevo León, México

    Loraine Sanchez-Jimenez, Tomás E. Salais-Fierro & Jania A. Saucedo-Martínez

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  1. Loraine Sanchez-Jimenez
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  2. Tomás E. Salais-Fierro
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  3. Jania A. Saucedo-Martínez
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Editors and Affiliations

  1. Universidad Autónoma de Nuevo León, Ciudad, Mexico

    Francisco Torres-Guerrero

  2. Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Mexico

    Leticia Neira-Tovar

  3. Fundación Universitaria Konrad Lorenz, Bogotá, Colombia

    Jorge Bacca-Acosta

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Sanchez-Jimenez, L., Salais-Fierro, T.E., Saucedo-Martínez, J.A. (2023). A Model for the Control and Monitoring of Supply Chain Indicators. In: Torres-Guerrero, F., Neira-Tovar, L., Bacca-Acosta, J. (eds) 2nd EAI International Conference on Smart Technology. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-07670-1_9

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  • DOI: https://doi.org/10.1007/978-3-031-07670-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07669-5

  • Online ISBN: 978-3-031-07670-1

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