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.

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

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.

Total lab automation: sample stability of clinical chemistry parameters in an automated storage and retrieval module

Objectives Automated storage and retrieval modules (SRM), as part of total lab automation (TLA) systems, offer tremendous practical and economic benefits. In contrast to manual storage systems, SRMs indicate continuous motion of samples and may leave samples prone to temperature fluctuations. This study investigates analyte stability in serum and heparin plasma within an automated storage module. Methods The stability of 28 common biochemistry analytes was investigated using 57 freshly obtained routine serum samples and 42 lithium-heparin plasma samples. Following baseline measurement, samples were stored at 2–8 °C in the automated SRM of the Accelerator a3600 TLA and reanalyzed at fixed time points (2, 4, 8, 12, 24, 48 and 72 h) on the Abbott Architect c16000 chemistry analyzer. The concentration at each time point was expressed as %-difference to the baseline value and mean results were compared to the criteria for desirable bias derived from the biological variation database. Results Nine of the analytes exceeded the bias criterion within 72 h after initial measurement in either serum samples, plasma samples or both. Lithium-heparin plasma samples showed increasing values for phosphor, potassium and lactate dehydrogenase (LDH), which were only considered stable for respectively 24, 12 and 4 h, glucose was considered stable for 8 h. Electrolyte concentrations and LDH activity significantly increased in serum samples beyond 48 h. Bicarbonate should not be performed as add-on test at all. Conclusions The presented data indicate that the conditions within an SRM have no clinical impact on sample stability and allow stable measurement of routine analytes within 72 h, comparable to manual storage facilities.

AUTOMATED STORAGE AND RETRIEVAL SYSTEM AN ALTERNATIVE FOR LOGISTIC TRANSFORMATION TECHNOLOGY: A CASE STUDY

This research was taken at one of the mechanical engineering companies produces customize spare parts, special purposed machinery, automation system integrator and robotic installation. The company has problem high cost operation warehouse, need space expanding production line, stockopname problem, picking failure, high cycle time operation, logistic efficiency, and inventory cost. These problems have impact to company performance which need cost down, increase efficiency and productivity with minimum defect. The data has shown company needs additional 157m2 to expanding new line, has 4% picking defect, there is 200 million operational cost over, 150sec cycle time, 7% lost part and risk cyber data security. Due to the importance of the problem, the company needs to evaluate and solve the problem which has impact to company performance, especially in the warehouse. DMAIC (Define Measure Analyze Improve and Control) approach is applied to comprehensively explore the problem and comes out with alternatives solution. Two alternatives were developed. The criteria for selection used were i.e. cost; accuracy, security, safety, productivity, cycle time, and minimize defect It was concluded that the application of automated storage and retrieval system (ASRS) was selected as it dominates in many aspects compare to expanding the current one. This implementation of ASRS approved that this new system answers the current warehouse problem

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

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.

Multi-shuttle AS/RS Dimensions Optimization Using a Genetic Algorithm – Case of the Multi-aisle Configuration

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.

The study on the automated storage and retrieval system dependability

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.