scholarly journals Novel Implementation of Multiple Mathematical Models in Automated Storage and Retrieval Warehouse Systems by Using Optimization Algorithms

2021 ◽  
Author(s):  
Mahdi Yousefi Nejad Attari ◽  
Ali Ala ◽  
Ensiyeh Neyshabouri Jami
Keyword(s):  
Supply Chain ◽  
Mathematical Models ◽  
Storage System ◽  
Population Based ◽  
Analysis Method ◽  
Distribution Centers ◽  
Storage And Retrieval ◽  
Essential Components ◽  
Automated Storage ◽  
Made In

Abstract Warehouses and distribution centers are among the essential components in the supply chain, and their management is crucial. In the classifications made in the literature, warehouse management methods and distribution centers are divided into manual and machine forms. This system has advantages over previous systems, such as increased flexibility, accuracy, and order preparation speed. In this project, this storage system is called an automatic reverse storage system (ARWS). In this research, a complete and comprehensive explanation about the automatic reverse storage system and its components and their relationship with each other is provided. The following are mathematical models related to ordering items, assigning items to shelves, and completing orders and routing. For validation, the proposed models for small-size problems have been carefully solved with GAMS software. Then, to select the appropriate metaheuristic method, the landscape analysis method has been used. Hence using the analysis method, population-based methods were selected. Taguchi is used to determining the parameters of this method, and its results are presented.

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.

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 Automated Stacker Cranes: A Two-Step Storage Reallocation Process for Enhanced Service Efficiency

Processes ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 2
Author(s):  
Bashir Salah ◽  
Mohammed Alnahhal ◽  
Rafiq Ahmad
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Computer Control ◽  
Value Added ◽  
Distribution Centers ◽  
Automated Manufacturing Systems ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
A Value ◽  
Automated Storage

Automated storage and retrieval systems (AS/RS) play a key role in improving the performance of automated manufacturing systems, warehouses, and distribution centers. In the modern manufacturing industry, the term (AS/RS) refers to various methods under computer control for storing and retrieving loads automatically from defined storage locations. Using an (AS/RS) is not considered a value-added activity. Therefore, the longer (AS/RS) travels, the more expensive the warehousing process becomes. This paper presents an algorithm for minimizing total travel distance/time between input/output (I/O) stations. The proposed algorithm is used to manage the storage and retrieval orders on warehouse shelves in class-based storage on the storage racks. It contains two steps: the first step is to evacuate some storage compartments (locations) near the I/O station; in the second step, some tote bins are reallocated to compartments closer to the I/O station. Among the features of this algorithm are mechanisms that determine the number of reallocated tote bins, which tote bins to reallocate, and in which direction (toward the I/O station or away from it). A simulation model using R software developed specifically for this purpose was used to validate the suggested method. Based on the results, the new method can reduce the service time per order by about 10% to 20%, depending on parameters like the number of orders and the height of the storage rack.

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.

Slotting Optimization Algorithm of the Stereo Warehouse

2013 ◽  
Vol 756-759 ◽  
pp. 1371-1376
Author(s):  
Jun Hui Wu ◽  
Tong Di Qin ◽  
Jie Chen ◽  
Hui Ping Si ◽  
Kai Yan Lin ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Mathematical Models ◽  
Optimization Algorithm ◽  
Retrieval System ◽  
Storage And Retrieval ◽  
Simulation Calculation ◽  
Optimization Simulation ◽  
Optimization Management ◽  
Automated Storage ◽  
The Stability

In order to solve the problem of slotting optimization management with automated storage and retrieval system (AS / RS), the genetic algorithms of the slotting optimization process with stereo warehouse were discussed. The process of the slotting optimization was designed by the real-number coding. The mathematical models of the slotting optimization and cargo shipping time were built, and the simulation calculation of the models was done. The stability of the shelf and the efficiency of the accessing goods were significantly improved by the optimization simulation of the distribution of cargo space, after optimizing the storage order. The algorithms of the slotting optimization with stereo warehouse could effectively enhance the frequency of the stock in & out, increasing the revenue.

It Is Everywhere

2016 ◽  
pp. 311-339
Author(s):  
Alexis Braun Marks ◽  
Eric Owen
Keyword(s):  
Retrieval System ◽  
Lessons Learned ◽  
High Density ◽  
Storage And Retrieval ◽  
Response Planning ◽  
Automated Storage ◽  
Made In ◽  
Future Outbreak

In early 2012, mold was found on materials stored in the high-density automated storage and retrieval system (ASRS) at Eastern Michigan University, with remediation beginning in late 2013. This chapter will outline the timeline of discovery and eventual remediation of the mold infestation. The authors will discuss the stakeholders within the library and other offices on campus involved with the response planning for closure, cleanup, and reopening of the ASRS, as well as the development of processes for collection intake to mitigate a future outbreak. The chapter will conclude with lessons learned, takeaways for other institutions, and how Eastern Michigan University is moving forward to protect the investment made in the collection.

It Is Everywhere

2018 ◽  
pp. 1515-1544
Author(s):  
Alexis Braun Marks ◽  
Eric Owen
Keyword(s):  
Retrieval System ◽  
Lessons Learned ◽  
High Density ◽  
Storage And Retrieval ◽  
Response Planning ◽  
Automated Storage ◽  
Made In ◽  
Future Outbreak

In early 2012, mold was found on materials stored in the high-density automated storage and retrieval system (ASRS) at Eastern Michigan University, with remediation beginning in late 2013. This chapter will outline the timeline of discovery and eventual remediation of the mold infestation. The authors will discuss the stakeholders within the library and other offices on campus involved with the response planning for closure, cleanup, and reopening of the ASRS, as well as the development of processes for collection intake to mitigate a future outbreak. The chapter will conclude with lessons learned, takeaways for other institutions, and how Eastern Michigan University is moving forward to protect the investment made in the collection.

scholarly journals Automation Forklift System untuk Penyimpanan Produk pada Gudang Berbasis Labview

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Gun Gun Maulana ◽  
Hendy Rudiansyah ◽  
Salwa Nahlya Tazkia
Keyword(s):  
Storage System ◽  
Object Identification ◽  
Stepper Motor ◽  
Average Error ◽  
Work Safety ◽  
Storage And Retrieval ◽  
Color Sensor ◽  
Multilevel Storage ◽  
Automation Technology ◽  
Made In

One of the functions of the warehouse is to store finished products. Stored products will be grouped based on the same type of material or goods, with boxes that have been marked in color or other codes in accordance with the specified classification. In the warehousing system, vertical storage helps in maximizing the use of warehouse areas. Storage of goods that are still manual with the aid of a forklift also has a high risk of damage due to work equipment accidents. The application of automation technology to the warehousing system is needed because it allows the storage and retrieval of products to run more easily and regularly than done manually. This study aims to create an automatic multilevel storage system as a solution to improve work safety and facilitate workers in storing finished products. This system is made in the form of an elevator with a rack containing 12 cells. The elevator is driven by a stepper motor to move in the direction of the X, Y, and Z axis and is controlled through an Arduino Mega 2560 microcontroller. Object identification is carried out by the TCS 3200 color sensor and the infrared obstacle sensor to read the height of the object. In this study,  prototype storage and lifter systems have been achieved as movers for storing boxes on shelves. The results showed success in shipping boxes according to the intended address, but there were still average error values on the x-axis motion of 0.125%, and on the z-axis of 0.11%.   Keywords— Arduino Mega 2560; Forklift; Labview; Sensor TCS 3200; Warehouse

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