Inventory replenishment decision model for the supplier selection problem using metaheuristic algorithms
In supply chain management, fast and accurate decisions in supplier selection and order quantity allocation have a strong influence on the company's profitability and the total cost of finished products. In this paper, a novel and non-linear model is proposed for solving the supplier selection...
Main Authors: | Avelina Alejo-Reyes, Elias Olivares-Benitez, Abraham Mendoza, Alma Rodriguez |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2020-01-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2020107?viewType=HTML |
Similar Items
-
An Improved Grey Wolf Optimizer for a Supplier Selection and Order Quantity Allocation Problem
by: Avelina Alejo-Reyes, et al.
Published: (2020-08-01) -
Vendor managed inventory control system for deteriorating items using metaheuristic algorithms
by: Masoud Rabbani, et al.
Published: (2018-01-01) -
Nature-inspired metaheuristic scheduling algorithms in cloud: a systematic review
by: Sandeep Kumar Bothra, et al.
Published: (2021-08-01) -
Why Tuning the Control Parameters of Metaheuristic Algorithms Is So Important for Fair Comparison?
by: Anezka Kazikova, et al.
Published: (2020-12-01) -
Improved Initialization Method for Metaheuristic Algorithms: A Novel Search Space View
by: Qian Li, et al.
Published: (2021-01-01)