scholarly journals REDUCING PICKER BLOCKING IN A HIGH-LEVEL NARROW-AISLE ORDER PICKING SYSTEM

2018 ◽  
Author(s):  
Teun van Gils ◽  
An Caris ◽  
Katrien Ramaekers
Keyword(s):  
Order Picking ◽  
High Level ◽  
Picker Blocking ◽  
Picking System

Quantifying picker blocking in a bucket brigade order picking system

2015 ◽  
Vol 170 ◽  
pp. 862-873 ◽  
Author(s):  
Soondo Hong ◽  
Andrew L. Johnson ◽  
Brett A. Peters
Keyword(s):  
Order Picking ◽  
Bucket Brigade ◽  
Picker Blocking ◽  
Picking System

A note on picker blocking models in a parallel-aisle order picking system

2013 ◽  
Vol 45 (12) ◽  
pp. 1345-1355 ◽  
Author(s):  
Soondo Hong ◽  
Andrew L. Johnson ◽  
Brett A. Peters
Keyword(s):  
Order Picking ◽  
Picker Blocking ◽  
Picking System

scholarly journals Simulation Model for a Semi-automated Retail Order Picking System Under Uncertainty

2021 ◽  
pp. 759-767
Author(s):  
Sawssen Souiden ◽  
Audrey Cerqueus ◽  
Xavier Delorme ◽  
Jean-Lucien Rascle
Keyword(s):  
Simulation Model ◽  
Order Picking ◽  
Picking System

Routing Optimization of High-Level Order Picking Truck Based on Swarm Intelligent Algorithm

2011 ◽  
Vol 101-102 ◽  
pp. 414-417
Author(s):  
Yi Qiang Wang ◽  
Chao Fu ◽  
Ming Yang Ma ◽  
Lin Bin Wang
Keyword(s):  
Optimization Problem ◽  
Order Picking ◽  
Intelligent Algorithm ◽  
Swarm Optimization ◽  
Intelligent Algorithms ◽  
Operation Efficiency ◽  
Routing Optimization ◽  
High Level ◽  
The Mathematical Model ◽  
Level Order

In order to improve the operation efficiency of order picking trucks in the warehouse, the mathematical model of the routing optimization problem is established. Then PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) are used to solve the model. Experimental results show that both of them have good overall search ability and astringency. The operation efficiency is improved to a great extent by using swarm intelligent algorithms.

Sign in / Sign up

Export Citation Format

Share Document