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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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Authors
Franco-Quispe, Daeli
Yauri-Tito, Diana
Cabel-Pozo, Jhonatan
Raymundo, Carlos
Issue Date
2022-01-01
Keywords
DDMRP
Delivery time
Make-to-Order
Manufacturing
PDCA

Metadata
Show full item record
Publisher
Springer Science and Business Media Deutschland GmbH
Journal
Lecture Notes in Networks and Systems
URI
http://hdl.handle.net/10757/657862
DOI
10.1007/978-3-030-85540-6_155
Additional Links
https://www.springerprofessional.de/en/production-planning-and-control-model-to-increase-on-time-delive/19647978
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.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/embargoedAccess
Language
eng
Description
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ISSN
23673370
EISSN
23673389
ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-85540-6_155
Scopus Count
Collections
Ingeniería Civil

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