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.

Automated storage and active cleaning for multi-material digital-light-processing printer

2019 ◽  
Vol 25 (5) ◽  
pp. 864-874 ◽  
Author(s):  
Christopher-Denny Matte ◽  
Michael Pearson ◽  
Felix Trottier-Cournoyer ◽  
Andrew Dafoe ◽  
Tsz Ho Kwok
Keyword(s):  
Material Handling ◽  
Storage System ◽  
Digital Light Processing ◽  
Content Type ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Cleaning Solution ◽  
Multiple Materials ◽  
Automated Storage ◽  
Compact Design

PurposeThe purpose of this paper is to introduce a novel technique for printing with multiple materials using the DLP method. Digital-light-processing (DLP) printing uses a digital projector to selectively cure a full layer of resin using a mask image. One of the challenges with DLP printing is the difficulty of incorporating multiple materials within the same part. As the part is cured within a liquid basin, resin switching introduces issues of cross-contamination and significantly increased print time.Design/methodology/approachThe material handling challenges are investigated and addressed by taking inspiration from automated storage and retrieval systems and using an active cleaning solution. The material tower is a compact design to facilitate the storage and retrieval of different materials during the printing process. A spray mechanism is used for actively cleaning excess resin from the part between material changes.FindingsChallenges encountered within the multi-material DLP technology are addressed and the experimental prototype validates the proposed solution. The system has a cleaning effectiveness of over 90 per cent in 15 s with the build area of 72 inches, in contrast to the previous work of 50 per cent cleaning effectiveness in 2 min with only 6 inches build area. The method can also hold more materials than the previous work.Originality/valueThe techniques from automated storage and retrieval system is applied to develop a storage system so that the time complexity of swapping is reduced from linear to constant. The whole system is sustainable and scalable by using a spraying mechanism. The design of the printer is modular and highly customizable, and the material waste for build materials and cleaning solution is minimized.

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.

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 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.

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

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

Relocation and Storage Assignment Strategies Evaluation in a Multiple-deep Tier-captive Automated Vehicles Storage and Retrieval System with Undetermined Retrieval Sequence

2021 ◽  
Author(s):  
Jakob Marolt ◽  
Nenad Kosanić ◽  
Tone Lerher
Keyword(s):  
Retrieval System ◽  
Discrete Event ◽  
Nearest Neighbour ◽  
Throughput Performance ◽  
Storage And Retrieval ◽  
Event Simulation ◽  
Retrieval Systems ◽  
Storage Assignment ◽  
And Storage

Abstract This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RS) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock-keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual command cycle time assessment of nine different storage and relocation assignment strategies combinations in the simulation model. The results of a simulation study for (i) Random, (ii) Depth-first and (iii) Nearest neighbour storage and relocation assignment strategies combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold and sixfold deep AVS/RS outperform systems with fewer depths by utilising Depth-first storage and Nearest neighbour relocation assignment strategies.

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