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2022 | OriginalPaper | Chapter

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

Authors : Daeli Franco-Quispe, Diana Yauri-Tito, Jhonatan Cabel-Pozo, Carlos Raymundo

Published in: Human Interaction, Emerging Technologies and Future Systems V

Publisher: Springer International Publishing

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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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Metadata
Title
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
Authors
Daeli Franco-Quispe
Diana Yauri-Tito
Jhonatan Cabel-Pozo
Carlos Raymundo
Copyright Year
2022
Book
Human Interaction, Emerging Technologies and Future Systems V

Print ISBN: 978-3-030-85539-0

Electronic ISBN: 978-3-030-85540-6

Copyright Year: 2022

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

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