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Related Experiment Video

Updated: Oct 13, 2025

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy.

Lei Deng¹, Lei Chen¹, Jingjie Zhao²

¹School of Information, Beijing Wuzi University, Beijing, China.

|November 15, 2021

Summary

This summary is machine-generated.

Modern warehouses benefit from faster order processing using parallel processing policies. However, sequential policies can outperform parallel ones below a critical transaction rate, especially with fewer shuttles.

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Published on: February 6, 2014

Area of Science:

Operations Research
Industrial Engineering
Logistics Management

Background:

Warehouse order processing speed is critical for modern logistics.
Autonomous storage and retrieval systems (AS/RS) often use parallel processing.
Shuttle-based compact storage systems (SBCSS) traditionally assume sequential policies.

Purpose of the Study:

To model and analyze a single-tier SBCSS using a parallel processing policy.
To compare the performance of parallel versus sequential processing policies.
To identify optimal system configurations for throughput time minimization.

Main Methods:

Modeling the SBCSS as a semi-open queueing network with class switching.
Utilizing a fork-join queueing network to represent parallel shuttle and transfer car movement.
Validating the analytical model against simulation data.
Conducting numerical experiments and analyzing a real-world case study.

Main Results:

The analytical model accurately estimates system performance.
A critical transaction arrival rate and depth/width ratio exist, below which sequential policy is superior.
The advantage of sequential policy diminishes with increased shuttle numbers, arrival rates, and depth/width ratios.
An optimal depth/width ratio of 1.75 minimizes expected throughput time.

Conclusions:

Parallel processing is recommended for SBCSS when the number of shuttles exceeds 2 or the transaction arrival rate is above 24 per hour.
The choice between parallel and sequential policies depends on specific system parameters and operational demands.
Optimizing the depth/width ratio is crucial for enhancing throughput time in real-world SBCSS applications.