scholarly journals Multi-shuttle AS/RS Dimensions Optimization Using a Genetic Algorithm – Case of the Multi-aisle Configuration

2021 ◽  
Author(s):  
wahiba FANDI ◽  
Sihem KOULOUGHLI ◽  
Latefa GHOMRI
Keyword(s):  
Genetic Algorithm ◽  
High Speed ◽  
Retrieval System ◽  
Single Cycle ◽  
Financial Investment ◽  
Storage And Retrieval ◽  
The Past ◽  
Retrieval Systems ◽  
Automated Storage

Abstract Over the past few years, automated storage and retrieval systems (AS/RSs) have been increasingly improving. It is worth mentioning that multi-shuttle storage/retrieval (S/R) machines were gradually introduced to the market some years ago. These machines, which possess a high speed of execution, are able to transport several pallets at a time during the same trip, as opposed to single-shuttle S/R machines which can carry only one pallet at a time. It should be noted that the installation of this type of system requires a significant financial investment, and therefore it is highly recommended that this system be well studied and designed prior to its installation. It is widely acknowledged that one of the most important objectives while designing an AS/RS is to achieve the shortest time for one single cycle. The present work aims at designing an AS/RS with optimal dimensions for the purpose of minimizing the time in a multi-cycle implementation. To do this, it was decided to consider a multi-aisle automated storage/ retrieval system (AS/RS) with a multi-shuttle S/R machine. In addition, a genetic algorithm (GA) was used for the optimization of the system.

The impact of an automated storage and retrieval system on public services

2001 ◽  
Vol 29 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Linda Shirato ◽  
Sarah Cogan ◽  
Sandra Yee
Keyword(s):  
Retrieval System ◽  
Storage System ◽  
Public Perceptions ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Start Up ◽  
Online Catalog ◽  
Automated Storage ◽  
Public Reaction ◽  
The Impact

In June 1998, the Bruce T. Halle Library opened on Eastern Michigan University’s campus and began using an automated storage and retrieval system for low‐use books and periodicals. Approximately one third of the library’s total collection was placed into this storage system, freeing floor space for many new activities in the library. This system, linked to the library’s online catalog, could retrieve items requested by a patron in less than ten minutes. While the Automated storage/retrieval systems (AS/RS) performed well, other start‐up problems of a new building and public perceptions of the AS/RS made its introduction a challenge. Planning, implementation, and public reaction and acceptance are discussed.

scholarly journals Integrated Optimization of Mixed Cargo Packing and Cargo Location Assignment in Automated Storage and Retrieval Systems

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Bin Lei ◽  
Zhaoyuan Jiang ◽  
Haibo Mu
Keyword(s):  
Genetic Algorithm ◽  
Heuristic Algorithm ◽  
Retrieval System ◽  
Packing Problem ◽  
Optimization Method ◽  
Integrated Optimization ◽  
Storage And Retrieval ◽  
Location Assignment ◽  
Automated Storage ◽  
Delivery Efficiency

To improve the delivery efficiency of automated storage and retrieval system, the problem of the integrated optimization of mixed cargo packing and cargo location assignment is addressed. An integrated optimization model of mixed cargo packing and location assignments with the shortest time for the stacker in a certain historical period is established and is transformed into a conditional packing problem. An improved hybrid genetic algorithm based on a group coding method is designed to solve the problem. When the initial population is generated, a new heuristic algorithm is designed to improve the convergence speed of the genetic algorithm considering the correlation and frequency of the goods outbound. A heuristic algorithm for a two-dimensional rectangular-packing problem is designed to determine whether a variety of goods can be mixed in packing. Taking actual data from an automated storage and retrieval system for an aviation food company as an example, the established model and design algorithm are verified and the influence of changes in the outbound delivery orders on the optimization result is analyzed. The results show that compared to the method of separate storage of goods based on cube-per-order index rules and a phased optimization method of mixed storage of goods, an integrated optimization method of mixed cargo packing and location assignment can improve the outbound delivery efficiency of the stacking machine by 11.43–25.98% and 1.73–5.51%, respectively, and reduce the cargo location used by 50–55% and 0–10%, respectively. The stronger the correlation of the goods leaving a warehouse, the greater the potential of the design method in this paper to improve the efficiency of the stacker.

Distribution Strategy in Storage and Retrieval System Based on Improved Genetic Algorithm

2011 ◽  
Vol 219-220 ◽  
pp. 795-798
Author(s):  
Xiang Dong
Keyword(s):  
Genetic Algorithm ◽  
Retrieval System ◽  
Storage System ◽  
Improved Genetic Algorithm ◽  
Distribution Strategy ◽  
Storage And Retrieval ◽  
Automated Storage ◽  
Optimization And Simulation ◽  
Production Automation ◽  
The Mathematical Model

Automated storage system has become a sign of enterprise production automation and management information. The design, optimization and simulation has become a key in modern logistics technologies. This paper studied the optimal cells distribution strategies and the storage and retrieval path optimization. Firstly, the distribution strategies are analyzed, then, the mathematical model is presented. An improved Genetic Algorithm is used to solve the model. The approach is finally illustrated by a practical example.

scholarly journals Automatic Storage and Retrieval System using the Optimal Path Algorithm

2020 ◽  
Vol sceeer (3d) ◽  
pp. 125-133
Author(s):  
Hanan Hameed ◽  
Abdulmuttalib Rashid ◽  
Kharia Al Amry
Keyword(s):  
Mobile Robots ◽  
Autonomous Navigation ◽  
Retrieval System ◽  
Optimal Path ◽  
Time Of Arrival ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Robot Systems ◽  
Simulation Results ◽  
Automated Storage

The demand for application of mobile robots in performing boring and extensive tasks are increasing rapidly due to unavailability of human workforce. Navigation by humans within the warehouse is one among such repetitive and exhaustive task. Autonomous navigation of mobile robots for picking and dropping the shelves within the warehouse will save time and money for the warehousing business. Proposing an optimization model for automated storage and retrieval systems by the goals of its planning is investigated to minimize travel time in multi-robot systems. This paper deals with designing a system for storing and retrieving a group of materials within an environment arranged in rows and columns. Its intersections represent storage locations. The title of any subject is indicated by the row number and the column in it. A method was proposed to store and retrieve a set of requests (materials) using a number of robots as well as one receiving and delivery port. Several simulation results are tested to show this improvement in length of path and time of arrival.

scholarly journals Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms

2013 ◽  
Vol 2013 ◽  
pp. 1-17 ◽  
Author(s):  
Kuo-Yang Wu ◽  
Sendren Sheng-Dong Xu ◽  
Tzong-Chen Wu
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Algorithms ◽  
Flexible Manufacturing ◽  
Pso Algorithm ◽  
Optimal Scheduling ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Machine Simulation ◽  
Automated Storage ◽  
Working Distance

We investigate the optimal scheduling of retrieval jobs for double-deep type Automated Storage and Retrieval Systems (AS/RS) in the Flexible Manufacturing System (FMS) used in modern industrial production. Three types of evolutionary algorithms, the Genetic Algorithm (GA), the Immune Genetic Algorithm (IGA), and the Particle Swarm Optimization (PSO) algorithm, are implemented to obtain the optimal assignments. The objective is to minimize the working distance, that is, the shortest retrieval time travelled by the Storage and Retrieval (S/R) machine. Simulation results and comparisons show the advantages and feasibility of the proposed methods.

scholarly journals The study on the automated storage and retrieval system dependability

2021 ◽  
Vol 23 (4) ◽  
pp. 709-718
Author(s):  
Konrad Lewczuk
Keyword(s):  
Retrieval System ◽  
Storage Systems ◽  
Simulation Software ◽  
Storage And Retrieval ◽  
Logistics Systems ◽  
Retrieval Systems ◽  
Factors Influencing ◽  
Master System ◽  
Automated Storage ◽  
Technical Reliability

Automated storage systems have become the basis of warehouse logistics. The article presents a discussion on the reliability and dependability of Automated Storage and Retrieval Systems (ASRS), which are perceived as solutions with high technical reliability. Still, their role in the dependability of the entire warehouse system is to be discussed. The concepts of reliability and dependability in logistics systems like ASRS are defined, and a literature review in this area is presented. On this basis, the factors influencing the dependability of ASRS are discussed in a way not present in the discussion on this topic so far. Then, the ASRS simulation model (based on FlexSim simulation software) is presented. The model tests the influence of ASRS configuration and assigned resources on the dependability of the warehouse as a master system. The summary includes observations on defining the reliability and dependability of ASRS.

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