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Production Planning and Control Model to Increase On-Time Deliveries Through Demand-Driven MRP and PDCA in a Make-to-Order Environment of Non-primary Manufacturing Industry

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Human Interaction, Emerging Technologies and Future Systems V (IHIET 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 319))

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Abstract

In recent years, production environments have gone from predictable to dynamic, therefore factors such as delivery time and a high percentage of customer satisfaction have become fundamental criteria for this new environment. Production planning and control (PPC) systems must be aligned with the new objectives of the manufacturers, however, the most popular PPC don’t satisfy their needs. This is how this article proposes a PPC model based on the Demand-Driven MRP system supported by the stages of the PDCA cycle so that it can perform optimally in dynamic environments such as make-to-order manufacturing models. As a result of the simulation in the case study, 100% compliance with deliveries on time was obtained and a reduction in lead time by 50.33%. Therefore, it is concluded that the proposed model is applicable and beneficial in this context.

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Authors and Affiliations

  1. Ingenieria Industrial, Universidad Peruana de Ciencias Aplicadas, Prolongacion Primavera 2390, Lima, 15023, Peru

    Daeli Franco-Quispe, Diana Yauri-Tito & Jhonatan Cabel-Pozo

  2. Direccion de Investigacion, Universidad Peruana de Ciencias Aplicadas, Prolongacion Primavera 2390, Lima, 15023, Peru

    Carlos Raymundo

Authors
  1. Daeli Franco-Quispe
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  2. Diana Yauri-Tito
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  3. Jhonatan Cabel-Pozo
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  4. Carlos Raymundo
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Corresponding author

Correspondence to Carlos Raymundo .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Campus du Moulin de la Housse, Université de Reims Champagne Ardenne GRESPI, Reims Cedex, France

    Redha Taiar

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Franco-Quispe, D., Yauri-Tito, D., Cabel-Pozo, J., Raymundo, C. (2022). Production Planning and Control Model to Increase On-Time Deliveries Through Demand-Driven MRP and PDCA in a Make-to-Order Environment of Non-primary Manufacturing Industry. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_155

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  • DOI: https://doi.org/10.1007/978-3-030-85540-6_155

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85539-0

  • Online ISBN: 978-3-030-85540-6

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