Improve the orders picking in e-commerce by using WMS data and BigData analysis
The primary purpose of the research is the improvement of the orders picking process without additional investments for the software, employees, tool and inventories. For problem-solving, the data about picking is exported and preprocessed from WMS. The BigData analysis and product clustering in Tab...
Main Authors: | Lorenc Augustyn, Burinskiene Aurelija |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2021-01-01
|
Series: | FME Transactions |
Subjects: | |
Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922101233L.pdf |
Similar Items
-
Order-Picking Efficiency in E-Commerce Warehouses: A Literature Review
by: Yi Li, et al.
Published: (2022-12-01) -
Intelligent Warehouse Picking Improvement Model for e-Logistics Warehouse Using Single Picker Routing Problem and Wave Picking
by: Dida Diah Damayanti, et al.
Published: (2022-06-01) -
Performance Evaluation of Nosql-Cassandra over Relational Data Store-Mysql for Bigdata
by: Sangeeta Gupta, et al.
Published: (2015-10-01) -
Clusterix-Like BigData DBMS
by: Vadim A. Raikhlin, et al.
Published: (2020-02-01) -
Blockchain and Bigdata to Secure Data Using Hash and Salt Techniques
by: AlSelami Fudhah A.
Published: (2022-04-01)