Resumen
New technologies, increasing competition, and changing consumer preferences in the food manufacturing sector have forced companies to generate customized products in dynamic demand and thus remain competitive in the market. As a result, companies have had to rethink their processes and product designs to optimize their manufacturing operations. In addition, moving from a conventional production model to processes supported by intelligent systems to generate efficiency improvements in the demand planning and productivity in their activities is necessary. This paper aims to introduce the development of an integrated model of lean 4.0 practices, demand forecasting using SARIMAX and DSS in a manufacturing SME. In addition, a literature review allowed identifying the variables that would be affected, such as inventory,
waste, obsolete products, and productivity. Finally, a case study in the food manufacturing sector is
considered to validate the model. The results will be presented through a visual analytics dashboard to
streamline plant team decision-making.
waste, obsolete products, and productivity. Finally, a case study in the food manufacturing sector is
considered to validate the model. The results will be presented through a visual analytics dashboard to
streamline plant team decision-making.
Título traducido de la contribución | Un modelo productivo que combina los principios Lean e Industria 4.0 para mejorar la productividad de las pequeñas y medianas empresas (PYMES) del sector manufacturero de alimentos del Perú |
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Idioma original | Inglés estadounidense |
Título de la publicación alojada | A Production Model That Combines Lean And Industry 4.0 Principles To Enhance The Productivity Of Small And Medium-Sized Enterprises (SMEs) In Peru’s Food Manufacturing Sector |
Editores | David Herberger |
Lugar de publicación | Leibniz, Hannover, Germany |
Editorial | Publish-Ing - Leibniz Universitat Hannover |
Páginas | 139 - 150 |
Número de páginas | 11 |
Volumen | CPSL 2023 - 2. Hannover : publish-Ing., 2023 |
Edición | S. 139-80 |
ISBN (versión digital) | 2701-6277 |
ISBN (versión impresa) | 2701-6277 |
DOI | |
Estado | Publicada - 15 dic. 2023 |
Serie de la publicación
Nombre | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 2 |
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Editorial | Leibniz Universitat Hannover : publish-Ing., 2023, S. 139-80 |
ISSN (versión impresa) | 2701-6277 |
ISSN (versión digital) | 2701-6277 |
Palabras Clave
- Lean 4.0
- Demand Forecasting
- Food Manufacturing Sector