Order Fulfillment Improvement Model Applying MRP, SLP with Digital Twins and Standardization Integrated with Poka Yoke in a Company in the Metalworking Sector
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Peña-Mendoza, Luis EnriqueAlvarez-Arteaga, José Luis
Coila-Ruiz, Cintya Rosmeri
Zarate-Muñoz, Eros
Issue Date
2026-01-01Keywords
Digital TwinsMetalworking industry
On Time Delivery
Process Standardization
Smart Manufacturing
System Poka Yoke
Metadata
Show full item recordPublisher
Springer Science and Business Media B.V.Journal
Mechanisms and Machine ScienceDOI
https://doi.org/10.1007/978-3-032-11791-5_43Abstract
The metalworking industry plays a fundamental role in the global economy. In this context, manufacturing companies in the metalworking sector with the Engineer to Order (ETO) and Make to Order (MTO) strategies have experienced significant growth in the industrial field. However, these companies face considerable challenges, one of them being delays in order delivery. These delays are due to multiple factors, including defective products, material shortages, and excessive travel times due to an inefficient distribution of work areas. In response to this problem, a model is proposed that integrates tools such as MRP (Material Requirements Planning), SLP (Systematic Design Planning) with Digital twins for plant redistribution, and process standardization techniques with Poka Yoke. The implementation of these tools seeks to optimize the production chain, reduce manufacturing times, and improve operational efficiency. The development of this model is measured with the On Time Delivery indicator, which seeks to go from 89% to 96%. This work not only seeks to address the specific challenges of the study company but aspires to become a replicable model to solve production flow difficulties and improve punctuality in the delivery of orders throughout the metalworking industry.Type
http://purl.org/coar/resource_type/c_6501Rights
http://purl.org/coar/resource_type/c_f744Language
engISSN
2211-0984EISSN
2211-0992ae974a485f413a2113503eed53cd6c53
https://doi.org/10.1007/978-3-032-11791-5_43
Scopus Count
Collections
