Filtrar por:
Tipo de publicación
- Artículo (5)
- Objeto de congreso (1)
Autores
- Adefris Teklewold (2)
- Amsal Tarekegne (1)
- Dagne Wegary Gissa (1)
- Francisco Pinto (1)
- Jose Crossa (1)
Años de Publicación
Editores
- Dr D. Pylarinos (1)
Repositorios Orígen
Tipos de Acceso
- oa:openAccess (6)
Idiomas
- eng (6)
Materias
- CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA (5)
- CROSS-BREEDING (4)
- HYBRIDS (3)
- HETEROSIS (2)
- MAIZE (2)
Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
6 resultados, página 1 de 1
Modular ontology to support manufacturing SMEs toward industry 4.0
ZAIDA ANTONIETA MORA ALVAREZ OSCAR HERNANDEZ URIBE RAMON ALBERTO LUQUE MORALES LEONOR ADRIANA CARDENAS ROBLEDO (2023, [Artículo])
Industry 4.0 (I4.0) implementation is a hot topic among manufacturing organizations to reach smart factory status and integrate a fully connected ecosystem. Achieving such a transition presents notable challenges for Small and Medium Enterprises (SMEs) since they often face resource and skilled personnel limitations. This study developed a domain ontology to represent various stages of maturity toward I4.0 implementation. Ontology provides a tool for SMEs to self-assess in situations of machines, processes, and factories for the dimensions of control, integration, and intelligence. This study focused on the identification of classes and relationships according to I4.0 implementation situations in the context of a manufacturing setting, the reuse of ontologies related to the domain of observations to model situations, and the creation and validation of the ontology through the information obtained from the questionnaires applied to SMEs. Finally, the ontology delivers a tool to understand SMEs' current state concerning I4.0 implementation and plan based on informed decisions about the maturity state and the technology required to advance to the next stage in their manufacturing processes.
This study was partially supported by the grants CONAHCYT-CIATEQ CVU 899567 and 162867 and CONAHCYT SNI.
We express our gratitude to Teresa Novales Hernandez for the library support.
Domain ontology Industry 4.0 SMEs Smart factory SPARQL Semantic web INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS
Performance evaluation and identification of highland quality protein maize hybrids in Ethiopia
Adefris Teklewold (2022, [Artículo])
Quality Protein Conventional Maize CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PROTEIN QUALITY CROSS-BREEDING HYBRIDS
Adefris Teklewold (2022, [Artículo])
Grain Yield Quality Protein Maize CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROSS-BREEDING INBRED LINES HETEROSIS PROTEIN QUALITY HYBRIDS
Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
Rodomiro Ortiz Paulino Pérez-Rodríguez Osval Antonio Montesinos-Lopez Jose Crossa (2023, [Artículo])
Potato Traits Cross-Validation Breeding Data CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEAST SQUARES METHOD POTATOES ENVIRONMENT PLANT BREEDING
High Throughput-Phenotyping at CIMMYT: Experiences and needs
Francisco Pinto (2021, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING PROGRAMMES GENETIC GAIN CROSS-BREEDING TECHNOLOGY YIELD POTENTIAL FIELD EXPERIMENTATION