Automated Storage System Research Articles

Automated Storage and Retrieval System for Warehouse

Manual picking and retrieval of items from storage locations can be time-consuming, leading to delays in order fulfillment. This can negatively impact customer satisfaction and the overall responsiveness of the supply chain. In addition, manual data entry and tracking systems are prone to human errors, resulting in discrepancies between recorded and actual inventory levels. This can lead to stockouts, overstocking, and difficulties in maintaining accurate inventory records. Therefore, a fully automated storage and retrieval system is proposed to tackle this problem. The overall system consists of infrared sensor as presence of item stored, LEDs indicator, warehouse model with compartments and stepper motors act as actuator to pick and place the item. This project aims to automate the storage and retrieval system with the assist of monitoring system for accurate tracking of inventory and space savings. The use of Programmable Logic Controller (PLC) in this project is a good representation of integrated automation technology in automated storage system design. Furthermore, monitoring system connected to a web-based system will be used to remotely monitor and operate the facility. Implementing an Automated Storage and Retrieval System (ASRS) in the warehouse can address these challenges by automating the storage, retrieval, and tracking of inventory.

The SPES target ion source automated storage system

At the SPES (Selective Production of Exotic Species) facility, intense Radioactive Ion Beams (RIBs) are produced by the interaction of a 40 MeV proton beam with a multi-foil uranium carbide target employing the Isotope Separation On-Line (ISOL) technique. The Target Ion Source (TIS) unit constitutes the core of the isotope production process. TIS units are replaced on a periodic basis during operation to maintain high performance. An automated storage system has been designed to accept highly radioactive TIS units and house them during a cooling period prior to decommissioning. The system is conceived to meet strict functional and safety requirements. Its peculiar design allows for improved reliability and availability during critical operations, as well as minimization of staff exposure to ionizing radiation during maintenance tasks. This contribution describes the design and control architecture of the Temporary Storage System (TSS). The equipment is part of a structured framework of remote manipulation, consisting of various machines interlocked with the Access Control System (ACS) and the Machine Protection System (MPS).

A design framework for shuttle-based automated storage systems

Shuttle-based automated storage systems are blooming in modern companies as well as research interest in these systems due to their high storage density, flexibility, and short cycle time. This study aims to introduce a novel design framework exploring different layout configurations affecting system performance under three main dimensions: racks, material handling vehicles, and buffer areas. This taxonomy supports the definition of a standard notation and increases the awareness of future industrial and academic research regarding variant design configurations. A review of the literature reveals the state-of-art and existing gaps.

Smart food grain storage system using Internet of Things (IoT): A Review

India is one of the largest producers of food grains in the world. The country has a diverse agricultural sector that produces a wide range of crops, including rice, wheat, maize, pulses (such as lentils and chickpeas), and oilseeds. Rice and wheat are considered essential for ensuring food security in India. India has an extensive network of food grain storage infrastructure to cater to its significant agricultural production. The storage infrastructure in India is primarily managed by the Food Corporation of India (FCI), state government agencies, and private sector entities. Some of food grain storage infrastructure in India are warehouses, covered storage structures (silos), mandi storage facilities (temporarily store grains) and strategic reserve (buffer stock for food security). Private sector entities are increasingly investing in the modern storage facilities including temperature-controlled warehouses and automated storage systems, to improve storage capacity and reduce post-harvest losses. India faces challenges in effectively managing and maintaining the quality of stored food grains. Issues such as inadequate storage capacity, insufficient maintenance, lack of proper pest control measures, and logistical constraints contribute to post-harvest losses. The government and other stakeholders are continuously working on improving storage infrastructure and implementing technological solutions to address these challenges that tiggers for spoilage, mold growth, insect infestation and excessive drying. The real time monitoring and controlling of these factor during the storage period is a cumbersome task and needs advanced techniques. In this aspect Internet of Things (IoT) offers numerous benefits to food grain storage systems including real-time monitoring, early warning systems, optimal environmental conditioning, energy efficiency, inventory management, traceability and predictive analytics. By leveraging IoT technology, the industry can improve storage practices, reduce losses, ensure food safety, and enhance the overall efficiency of grain storage operations.

Design and Development of a Model Smart Storage System

Food security has become a global major problem, due to the rapid increase in population growth. This has necessity the development of an effective agricultural products’ storage system, to alleviate the problem of food wastage. This study was embarked upon to develop a prototype of universal smart storage system for farm products, by using the internet of thing (IoT). The storage structure consists of four principal constituents which were; the power source, storage chamber, central processing system, and peripheral component interconnect (PCI) heater and PCI fan. The developed model was tested at a pre-set temperature and relative humidity of 32C and 62% RH respectively. The results revealed that the developed system had an efficiency of 85%. Though, the smart model had a failure rate of 15%, this smart prototype is a major breakthrough in the production of automated storage system for agricultural products.

Multiple-Rack Strategies Using Optimization of Location Assignment Based on MRCGA in Miniload Automated Storage and Retrieval System

This paper aimed to introduce multiple-rack strategies in miniload automated storage and retrieval systems (AS/RSs), which included first fit (FF) and best fit (BF) assignment methods based on a matrix real-coded genetic algorithm (MRCGA) in the storage and retrieval process. We validated the probability occurrence of item sizes as a contributory factor in multiple-rack strategies, and compared their capacities, utilization of units and space by equal probabilities or the 80/20 law. According to the analytical methods, BF showed a reduction of more than 11.2% than FF on travel distance, and Type B-FF, Type B-BF and Type C-BF were better able to meet high-density requirements. These strategies provide diversified storage and retrieval solutions for the manufacturing and express delivery industry.

Simulacijska studija RCS/R-sistema sa nekoliko robota koji opslužuju jednu branu stanicu

Robot-based compact storage and retrieval systems (RCS/RS) are fully automatic storage systems operated by robots from above. Therein, goods are stored in plastic bins stacked on each other, resulting in a 'Last-In-First-Out' storage strategy within each stack. This ensures very high degrees of space utilization. If containers located further down the stack are required, the robots relocate those stored above the required one. RCS/R-systems can typically be found in e-commerce, the pharmaceutical industry, and food or spare parts trade. Besides the system parameters, many other factors, such as the number of robots or the grid size, influence the system's behavior. This paper focuses on the system's throughput and the optimum number of operating robots. A discrete event simulation (DES) in the SIMIO simulation program gained insights into design variants and operating modes.

Research on the Tray-type Shuttle Crank Connecting Rod-parallelogram Mechanism Jacking System

Pallet shuttle plays a key role in the efficient and stable operation of high-density automated storage systems. For tray type through the roof overloading its cargo, we design a crank connecting rod-combinations of parallelogram mechanism type jack-up system. This paper introduces the principle of the jack-up structure in detail, and part of the dynamics of jack-up institutions is analyzed, calculated, and simulated. The driving motor of the jacking mechanism is selected. The feasibility of the scheme is verified by a prototype test.

Data-driven hierarchical learning and real-time decision-making of equipment scheduling and location assignment in automatic high-density storage systems

Automated high-density storage systems (AHDSS) have attracted widespread attention in recent years owing to their advantages of high throughput and space utilisation. However, owing to the characteristics of large-scale, multi-disturbance, and short-period task scenarios, a system is required to make instant and efficient decisions. To this end, this paper proposes a data-driven real-time decision-making method to solve the real-time equipment scheduling and dynamic location assignment problem in AHDSS. The proposed method comprises two phases: decision scheme learning and real-time decision-making. The operation state attribute features of the AHDSS were constructed to generate training data for equipment scheduling and location assignment scheme learning. Thereafter, a hierarchical learning and decision-making mechanism based on the deep belief network (DBN) is proposed. The integrated learning of better scheduling solutions was realised by establishing three-stage models of lift selection, shuttle selection, and location priority. Additionally, the Taguchi method was adopted to determine the best performance parameters for DBNs at different learning stages. Compared with other well-known machine learning algorithms, DBNs have a higher learning accuracy. Finally, a real-world AHDSS problem is studied, and the results demonstrate that the proposed approach outperforms existing dispatching rules.

An Efficient Viterbi Algorithm for Communication System

The method of decoding by Viterbi is used in areas like convolutional codes in digital TV, wireless local area networks, satellite communication, mobile relay. Also, the method is used in the development of Automatic Speech Recognition (ASR) and storage systems that work automatically. For Viterbi decoder-based architectures with low latency and complexity, which proposes error detection techniques that are effective. This paper explores the Viterbi algorithm which has two types of approaches for two types of subparts. Important aspects of any communication system are area/power consumption and throughput /efficiency. Minimization of these aspects is the need for an efficient system. This paper explores unwanted logical block reduction by modifying the present logical block. This paper explores signature-based approaches which result in acceptable efficiency. Also, another approach is used to achieve error detection in permanent and transient faults. This error detection is achieved by recomputing with encoded operands. Encoding means the use of shifting operation or the use of rotation operation. This approach makes the system slightly reliable and efficient.

Main Factors Affecting the Multimodal Transport System

Optimisation of organisation of transportation technological process, in the context of digitalisation and technological progress, is currently an urgent task following its significant impact on efficiency and competitiveness of transportation business. Currently, development of the economic environment requires a significant restructuring of organisational aspect of activity of the transport industry. An efficient transport and logistics process allows us to reduce time associated with cargo handling, cargo delivery, paperwork, etc. Automated storage systems can be mounted at facilities of different area, from largest warehouses of enterprises to compact storage premises. Favourable conditions created so allow to increase attractiveness of the transport industry. Though, the full implementation of information technology requires a systematic and scientific approach to organisation of transportation. Given the trend towards growth in international container transportation, expansion of global distribution networks, as well as development of scheduled transportation systems and the length of routes, which is particularly relevant for Russia, the issue of tracking positioning and controlling over the current state of the cargo becomes an important condition for improving safety and quality of transportation. The objective of the study was to develop a systematic approach to organisation of transportation technological processes for a multimodal transport system based on information technologies. Based on the study of organisation, engineering, technological, infrastructure factors, including those related to transition to electronic document exchange and electronic cargo positioning tracking, the paper offers a basic systematisation of more promising factors. The introduction and use of innovative and effective methods of organising cargo transportation will reduce time required to process cargo transported in a container, and to promptly pass the container through control and supervisory procedures.

Advanced Technologies in Logistics Engineering

This paper presents automated storage systems with shuttles integrated with hoisted carriage for successful application in intralogistics. The first part of the paper presents classic and advanced AVS/RS along with specific intralogistics automation systems known as AutoStore from Swisslog and Skypod from Exotec. The second part of the paper focuses on an advanced system with shuttle vehicles capable of serving multiple tiers of the storage rack. An analytical model for the shuttle vehicles capable of serving multiple tiers of the storage rack is presented, which is based on (i) the sequences of acceleration, constant velocity and deceleration, and (ii) randomised assignment policy. Based on the presented model, the expected Single Command (SC) and Dual Command (DC) travel (cycle) time as well as the throughput performance of the shuttle vehicles capable of serving several tiers of warehouse, could be calculated. A programme code in MATLAB has been presented for the computation of throughput performances of automated storage systems with shuttles integrated with hoisted carriage capable of serving several tiers of the storage rack.

Cyber-Security Aware Design of Automated Systems

AbstractOne of the main current threats for producing companies is the possibility of cyber-space attacks. Due to several reasons, industrial companies need to connect their plants over some kind of networks. Obviously, today many approaches from information technology (IT) exist which will greatly reduce the danger of attacks. Still, no producing company can completely rely on these IT solutions. This paper proposes a systemic approach to design processes and products for increased cyber security. This approach is based on an attack model and is explained based on an automated storage system.

An Efficient Viterbi Algorithm for Communication System

The Viterbi decoding algorithm is widely used in areas like Decoding convolutional codes in satellite communication, digital TV, wireless local area networks, mobile relay. Also, the method is used in the development of Automatic Speech Recognition (ASR) and storage systems that work automatically. For Viterbi decoder-based architectures with low latency and complexity, which proposes error detection techniques that are effective. This paper explores the Viterbi algorithm which has two types of approaches for two types of subparts. Important aspects of any communication system are area/power consumption and throughput /efficiency. Minimization of these aspects is the need for an efficient system. This paper explores unwanted logical block reduction by modifying the present logical block. This paper explores signature-based approaches which result in acceptable efficiency. Also, another approach is used to achieve error detection in permanent and transient faults. This error detection is achieved by recomputing with encoded operands. Encoding means the use of shifting operation or the use of rotation operation. This approach makes the system slightly efficient. The proposed approaches can be based on reliability and the efficiency objective.

RANCANG BANGUN PENYIMPANAN BARANG BERBASIS PROGRAMMABLE LOGIC CONTROLLER PADA MESJID BAITUL HIKMAH

Storage for goods is an important part of a mosque. When we are going to pray in congregation, the items or bags we carry make us anxious and afraid of losing. The development of technology has replaced the storage of goods carried out by mosque officials into an automated storage system. But it also needs to be considered in terms of the security system for storing these items. Researchers formulate how automation and security systems use RRFID. The research method used is research and development. The storage of this item is programmed with the Arduino and CX Programmer applications by creating a security system using Radio Frequency Identification (RFID) as radio waves carrying data that will be received by the RFID reader. The result of this research is an automatic door prototype using RFID which will operate properly. Reader ability to detect id card very good starting when the card is affixed to the reader and the selenoid system will work to open the door when the id card is attached.

SELECTION PROCESS FOR AN AUTOMATED STORAGE SYSTEM: A UNISON FRAMEWORK APPROACH

An automated storage system (ASS) is a computer-controlled warehousing system that is used to manage and automatically pick and place parts/goods. A good automated storage system can maximise space and shorten shipments’ response time, thereby helping the company to adapt quickly to an ever-changing market. For many enterprises there is also an urgent need to establish and install ASS. However, many companies find it difficult to design and install the right ASS. Many considerations need to be examined in choosing a suitable ASS, given their various capacities and capabilities. This study aimed to employ the UNISON framework to present a comprehensive model for selecting the most suitable ASS. It identified two fundamental objectives in the ASS selection process: (1) choosing the most suitable design for ASS; (2) choosing the most competent vendor to build and implement the ASS. This study then broke the fundamental objectives down into more detailed mean objectives and attributes. After defining the mean objectives and attributes, the study created a key performance indicator to assess the selection process. An empirical study was conducted among small and medium-sized enterprises (SME) in Taiwan to validate the proposed framework. A qualitative study was then developed by interviewing three related stakeholders — the vice president, the head of the production department, and the senior engineer — to support the identification process in selecting and implementing the ASS. From this case study, we found that our ASS selection model showed good practical viability. Keywords UNISON Framework, Automatic Storage System, Decision Model, Hierarchy Objectives

Multiple-Rack Strategies Using Optimization of Location Assignment Based on Mrcga in Miniload Automated Storage and Retrieval System

Multiple-Rack Strategies Using Optimization of Location Assignment Based on Mrcga in Miniload Automated Storage and Retrieval System

The Impact of Aging-Preventive Algorithms on BESS Sizing under AGC Performance Standards

It is normally accepted that Battery Energy Storage Systems improve frequency regulation by providing fast response to the Automatic Generation Control. However, currently available control strategies may lead to early Energy Storage Systems aging given that Automatic Generation Control requirements are increasing due to zero carbon power generation integration. In this sense, it is important to analyze the aging phenomena in order to assess the technical–economical usefulness of Battery Energy Storage Systems towards zero carbon power systems. In order to avoid early aging, various proposals on aging-reducing algorithms can be found; however, it is unclear if those aging-reducing algorithms affect the performance of Battery Energy Storage Systems. It is also unclear whether those effects must be internalized to properly dimension the capacity of Battery Energy Storage Systems to both comply with performance standards and to prevent early aging. Thus, this paper estimates the storage capacity of a Battery Energy Storage Systems to comply with Automatic Generation Control performance standard under aging-reducing operating algorithms by dynamics simulations of a reduced-order, empirically-validated model of the Electric Reliability Council of Texas. The results show the relationship between the required performance of Automatic Generation Control and Battery Energy Storage System capacity, considering a 1-year simulation of Automatic Generation Control dynamics. It can be concluded that the compliance with performance standards is strongly related to the storage capacity, regardless of how fast the device can inject or withdraw power from the grid. Previous results in the state-of-the-art overlook the quantification of this relationship between compliance with performance standards and storage capacity.

Constructing the optimal power algorithm for AS/RS systems using multi-mobile robots

For any mobile system there is especially advantageous from a business perspective to develop energy-saving techniques that also extend to existing production processes. Therefore, looking for ways to enhance the energy efficiency of robot operations to maximize energy consumption efficiency is of considerable significance, a route-planning issue that refers to finding the shortest path to meet the predetermined goal location in a certain complex environment. So, one of the energy saving methods for a multi-mobile robot environment is to find the optimal path for a mobile robot that can improve power consumption. In this paper, an optimal power algorithm for “automatic storage and retrieval system” using multi-mobile robots is introduced based on efficient motion planning among a group of multi-mobile robots that gives a significant improvement in the level of energy consumption. Energy mechanism can be achieved using electrical power quantities on real robots, models or analytical equations based on robots’ physical model. The simulation results indicate that the algorithm enhanced power consumption efficiency.

Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises.

Micro, Small, and Medium Enterprises (MSMEs) operating in the food retailing sector encounter two main concerns with respect to their perishable inventory management system, i.e., the product’s shelf life and investment in warehouse monitoring systems. New technologies like the Internet of Things (IoT), automated inventory control platforms, and automatic storage and retrieval systems offer effective solutions to these issues. However, MSMEs are reluctant to adopt these technologies due to their prior perception of higher implementation costs and the expected benefits. The present study aims to optimize IoT implementation in MSMEs’ inventory management systems and to provide tangible proof of its feasibility and usefulness. In so doing, we propose a mathematical model and analyze the impact of IoT through two case studies. The model provides a cost–benefit analysis of IoT investments that aim to increase products’ shelf life. We adopted the fractional program method, solved by particle swarm optimization on MATLAB software. The findings demonstrate the positive correlation between adopting IoT and reduced inventory costs supporting IoT deployment for improved perishability performance in MSMEs. The study offers several insights and practical guidelines in considering IoT deployment in MSMEs.