An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems

This paper studies a design of a puzzle-based storage system. We developed an item retrieval algorithm for our system which has three advantages over the previous counterparts in the literature: (i) we can retrieve items from all sides of our storage system; (ii) the existence of only one empty cell...

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Main Authors: Ehsan Shirazi, Mohammad Zolghadr
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied System Innovation
Subjects:
Online Access:https://www.mdpi.com/2571-5577/4/2/38
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author Ehsan Shirazi
Mohammad Zolghadr
author_facet Ehsan Shirazi
Mohammad Zolghadr
author_sort Ehsan Shirazi
collection DOAJ
description This paper studies a design of a puzzle-based storage system. We developed an item retrieval algorithm for our system which has three advantages over the previous counterparts in the literature: (i) we can retrieve items from all sides of our storage system; (ii) the existence of only one empty cell in our system is sufficient to retrieve an item; and (iii) our algorithm never ends in deadlocks. The main feature of our algorithm is to prefer three moves to five moves in the process of moving the seized empty cell toward the optimal side of the requested item. The conventional view in the literature assumes that increasing the number of empty cells always reduces the number of movements required for retrieving items; however, our simulation results show that depending on the size of the puzzle and the number of the requested items, increasing empty cells might make the retrieval process more complicated.
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spelling doaj.art-083f9cd710a5441aa45faa595b1bf2242023-11-21T23:41:45ZengMDPI AGApplied System Innovation2571-55772021-06-01423810.3390/asi4020038An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage SystemsEhsan Shirazi0Mohammad Zolghadr1Department of Industrial and Management Systems Engineering, West Virginia University, Morgantown, WV 26506, USASchool of Business Administration, University of California Riverside, Riverside, CA 92521, USAThis paper studies a design of a puzzle-based storage system. We developed an item retrieval algorithm for our system which has three advantages over the previous counterparts in the literature: (i) we can retrieve items from all sides of our storage system; (ii) the existence of only one empty cell in our system is sufficient to retrieve an item; and (iii) our algorithm never ends in deadlocks. The main feature of our algorithm is to prefer three moves to five moves in the process of moving the seized empty cell toward the optimal side of the requested item. The conventional view in the literature assumes that increasing the number of empty cells always reduces the number of movements required for retrieving items; however, our simulation results show that depending on the size of the puzzle and the number of the requested items, increasing empty cells might make the retrieval process more complicated.https://www.mdpi.com/2571-5577/4/2/38puzzle-based storage systemswarehousing system designnovel algorithmsmaterial handlingagent-based modelingsimulation
spellingShingle Ehsan Shirazi
Mohammad Zolghadr
An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems
Applied System Innovation
puzzle-based storage systems
warehousing system design
novel algorithms
material handling
agent-based modeling
simulation
title An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems
title_full An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems
title_fullStr An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems
title_full_unstemmed An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems
title_short An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems
title_sort item retrieval algorithm in flexible high density puzzle storage systems
topic puzzle-based storage systems
warehousing system design
novel algorithms
material handling
agent-based modeling
simulation
url https://www.mdpi.com/2571-5577/4/2/38
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