TY - GEN
T1 - 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
AU - Franco-Quispe, Daeli
AU - Yauri-Tito, Diana
AU - Cabel-Pozo, Jhonatan
AU - Raymundo, Carlos
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - DDMRP
KW - Delivery time
KW - Make-to-Order
KW - Manufacturing
KW - PDCA
UR - https://www.scopus.com/pages/publications/85115615859
U2 - 10.1007/978-3-030-85540-6_155
DO - 10.1007/978-3-030-85540-6_155
M3 - Contribución a la conferencia
AN - SCOPUS:85115615859
SN - 9783030855390
T3 - Lecture Notes in Networks and Systems
SP - 1209
EP - 1217
BT - Human Interaction, Emerging Technologies and Future Systems V - Proceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and the 6th IHIET
A2 - Ahram, Tareq
A2 - Taiar, Redha
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021
Y2 - 27 August 2021 through 29 August 2021
ER -