Applying Clustering Methods to Develop an Optimal Storage Location Planning-Based Consolidated Picking Methodology for Driving the Smart Manufacturing of Wireless Modules
Picking operations is the most time-consuming and laborious warehousing activity. Managers have been seeking smart manufacturing methods to increase picking efficiency. Because storage location planning profoundly affects the efficiency of picking operations, this study uses clustering methods to pr...
Guardado en:
Autores principales: | Tzu-An Chiang, Zhen-Hua Che, Ching-Hung Lee, Wei-Chi Liang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4c9bcd9ea31647fb8b76b2b0aea55f57 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Location-aware Mobile Services for a Smart City: Design, Implementation and Deployment
por: Calderoni,Luca, et al.
Publicado: (2012) -
Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method
por: Geng Niu, et al.
Publicado: (2021) -
Sport Location-Based User Clustering With Privacy-Preservation in Wireless IoT-Driven Healthcare
por: Qiyun Zhang, et al.
Publicado: (2021) -
A Survey of the Literature on Order-Picking Systems by Combining Planning Problems
por: Amir Reza Ahmadi Keshavarz, et al.
Publicado: (2021) -
A bayesian approach to inferring the genetic population structure of sugarcane accessions from INTA (Argentina)
por: Pocovi,Mariana Inés, et al.
Publicado: (2015)