A Novel Hybrid Artificial Intelligence Based Methodology for the Inventory Routing Problem
In this paper, a new hybrid method including simulation optimization and artificial intelligence based simulation is created to solve the inventory routing problem (IRP) in which three different routing strategies are evaluated for uneven demand patterns including intermittent, erratic, and lumpy de...
Main Authors: | Aslı Boru, Ayşe Tuğba Dosdoğru, Mustafa Göçken, Rızvan Erol |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-05-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/11/5/717 |
Similar Items
-
Demand forecasting for job order products in highly technological and emerging industries
by: McFarland, Ian Christopher
Published: (2012) -
Modeling transportation supply and demand forecasting using artificial intelligence parameters (Bayesian model)
by: Arabi Mehrdad, et al.
Published: (2018-01-01) -
A Library Review Study: Conceptual Model for Maritime Inventory-Routing Problem
by: Ali Nazemi, et al.
Published: (2017-11-01) -
Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies
by: Jože M. Rožanec, et al.
Published: (2021-07-01) -
An Optimization Model and Solution Algorithms for the Vehicle Routing Problem With a “Factory-in-a-Box”
by: Junayed Pasha, et al.
Published: (2020-01-01)