A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries
Goal: The paper aims at the customization of supplier schedules upon the priority of key articles. It aims at the prediction of an appointment to a supplier based on the key aspects. The objective of this study is to investigate whether the machine learning algorithms can be used to predict the del...
Saved in:
Main Authors: | Anitha Palakshappa, Sumana Maradithaya, Charunayana V |
---|---|
Format: | Article |
Language: | English |
Published: |
Associação Brasileira de Engenharia de Produção (ABEPRO)
2025-01-01
|
Series: | Brazilian Journal of Operations & Production Management |
Subjects: | |
Online Access: | https://bjopm.org.br/bjopm/article/view/2040 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sub-suppliers model 4.0 and knowledge discovery in industry supply chain
by: Milena KRUMOVA, et al.
Published: (2024-02-01) -
Supply Strategy: A Quasi-Experiment on the Number And Location of Suppliers
by: André Luis de Castro Moura Duarte, et al.
Published: (2017-01-01) -
Selection and appointment of higher education leaders in Ethiopia: An assessment of implementation
by: Abebaw Yirga Adamu
Published: (2023-06-01) -
Selection and appointment of higher education leaders in Ethiopia: An assessment of implementation
by: Abebaw Yirga Adamu
Published: (2023-06-01) -
Design an intelligent model for suppliers productivity evaluation in sustainable supply chain
by: Majid Yarahmadi, et al.
Published: (2023-11-01)