Document Type
Research Paper
Publication Date
2018
Abstract
In this study, we present an analytical model based tool that can estimate critical performance measures from a pre-defined shuttle-based storage and retrieval system (SBS/RS) design. SBS/RS is relatively a new automated storage and retrieval technology and mostly used for mini-load material handling. In this study, we develop an open queuing network model based tool estimating critical performance measures: the mean travel time of lifts/shuttles, utilization of lifts/shuttles, amount of energy consumption and energy regeneration per transaction, waiting times and number of jobs waiting in queues, etc., from a pre-defined SBS/RS design. By the developed tool, one can evaluate an SBS/RS design’s performance promptly by changing the input design parameters (e.g., distance between two adjacent bays/tiers, velocity of vehicles, acceleration/deceleration of vehicles, number of tiers, number of bays, number of aisles, arrival rates, weight of totes, etc.) in these systems.
Publication Title
Progress in Material Handling Research
Recommended Citation
Yetkin Ekren, Banu; Akpunar, Anil; and Lerher, Tone, "A Performance Calculator for Shuttle-based Storage and Retrieval System Design" (2018). 15th IMHRC Proceedings (Savannah, Georgia. USA – 2018). 18.
https://digitalcommons.georgiasouthern.edu/pmhr_2018/18
Included in
Industrial Engineering Commons, Operational Research Commons, Operations and Supply Chain Management Commons
Comments
Paper 28