scholarly journals A multi-objective optimization model for minimizing investment expenses, cycle times and CO2 footprint of an automated storage and retrieval systems

Transport ◽  
2019 ◽  
Vol 34 (3) ◽  
pp. 275-286 ◽  
Author(s):  
Miloš Rajković ◽  
Nenad Zrnić ◽  
Nenad Kosanić ◽  
Matej Borovinšek ◽  
Tone Lerher Lerher
Keyword(s):  
Optimization Model ◽  
Material Handling ◽  
Throughput Capacity ◽  
Simultaneous Optimization ◽  
Maximum Throughput ◽  
Nsga Ii ◽  
Cycle Times ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Automated Storage

A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: “investment expenses”, “cycle times”, “CO 2 footprint”) the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design

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 An approach for performance evaluation of SBS/RS with shuttle vehicles serving multiple tiers of multiple-deep storage rack

2020 ◽  
Vol 110 (11-12) ◽  
pp. 3241-3256
Author(s):  
Michael Eder
Keyword(s):  
Material Handling ◽  
Queueing System ◽  
Discrete Event ◽  
Calculation Model ◽  
Limited Capacity ◽  
Operating Characteristics ◽  
Cycle Times ◽  
Storage And Retrieval ◽  
Event Simulation ◽  
Retrieval Systems

Abstract This paper presents a method for determining the performance of shuttle-based storage and retrieval systems (SBS/RS) with tier-captive, single-aisle shuttles serving various numbers of tiers of multiple-deep storage. The use of this approach takes place in the design process of SBS/RS. The proposed approach considers the real operating characteristics of the shuttle and lifts. The basis of this calculation method is a continuous-time, open-queueing system with limited capacity. The cycle times of the lifts and shuttles, determined by a spatial value approach, can be used directly in the presented method with an assumed uniform distribution of storage locations and a probability-based model of storage depth. This approach is validated by a comparison with a discrete-event simulation. Finally, an example based on a system provided by a European material handling provider is presented to outline how this calculation model can be used for designing SBS/RS that fulfill predefined requirements. The result of this example is a decrease in the needed ground space with an increasing number of tiers served by each shuttle and with increasing storage depth.

Advanced Material Handling

1986 ◽  
Vol 39 (9) ◽  
pp. 1350-1355
Author(s):  
Jane C. Ammons ◽  
Leon F. McGinnis
Keyword(s):  
System Integration ◽  
Material Handling ◽  
Mechanical Design ◽  
Focal Point ◽  
Total System ◽  
Design Problems ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Automated Storage ◽  
And Control

With the advent of automation in manufacturing and warehousing, material handling is being seen as a focal point of total system integration and control. In contrast to mechanical design problems, this paper addresses current issues in the design and operation of material handling systems from an overall systems viewpoint. Topics reviewed include automated storage and retrieval systems, order picking, order sortation and accumulation, and transportation. The purpose is to overview essential issues, describe representative research, and identify critical needs for future study.

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

Development of Automatic Storage Retrieval System for Variable Loads

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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