A genetic algorithm for the generalised sequencing problem for automated storage and retrieval systems

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.

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

Abstract and Applied Analysis ◽

10.1155/2013/634812 ◽

2013 ◽

Vol 2013 ◽

pp. 1-17 ◽

Cited By ~ 1

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.

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Multiple products management system with sensors array in automated storage and retrieval systems

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/297/1/012052 ◽

2018 ◽

Vol 297 ◽

pp. 012052

Author(s):

Supachai Vongbunyong ◽

Perawat Roengritronnachai ◽

Savanut Kongsanit ◽

Chawisa Chanok-owat ◽

Pongsakorn Polchankajorn

Keyword(s):

Management System ◽

Storage And Retrieval ◽

Multiple Products ◽

Retrieval Systems ◽

Sensors Array ◽

Automated Storage

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Development of Automatic Storage Retrieval System for Variable Loads

Jurnal Sains dan Teknologi Industri ◽

10.24014/sitekin.v18i1.11587 ◽

2021 ◽

Vol 18 (1) ◽

pp. 99

Author(s):

Afzeri Tamsir

Keyword(s):

Data Storage ◽

Integrated System ◽

Numerical Control ◽

Storage And Retrieval ◽

Retrieval Systems ◽

Speed Up ◽

Automated Storage ◽

Warehousing Systems ◽

And Storage ◽

Carrier Element

Automated Storage and Retrieval Systems (ASRS) have been widely used in warehousing systems to speed up load movements and save storage space. ASRS is an integrated system that is equipped with a controller and arm for the collection and storage of goods. This paper discusses the results of developing a system for taking and storing goods for various loads. The prototype element consists of a mechanism for retrieving, placing and application for data collection into the database. In this research, the design and development of ASRS was carried out to be applied in the storage of products of various sizes which is suitable for small size industries. The development process includes investigating features that have been developed in the ASRS, operating procedures, hardware selection and software development in accordance with the mechanism designed. Numerical control which moves the carrier element with high resolution is applied to be able to place the load in a changing position. Development and testing is carried out to ensure the performance of the tool runs well and the data storage that includes the identification and size of the load can be recorded properly.

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