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ERP Systems
Published in Erick C. Jones, Supply Chain Engineering and Logistics Handbook, 2020
Erick C. Jones, Gowthaman Anantakrishnan
The methods and approach envisioned for this research are to evaluate the accuracy and reliability of the data entered into the ERP system by the manual entry, barcode, and RFID. In the manual entry method, the data are entered into the ERP system using different personnel for each trial. The personnel chosen will have various experience levels and different age groups. In the barcode method, the inventories are tracked using the barcode. The ERP system will be integrated with barcode reader, and as the product is read by the barcode scanner, the data are captured and entered into the ERP system directly. In the RFID methodology, instead of barcode, RFID will be used. The experiment is repeated with different volumes of inventories, different product sizes and types, and different intervals of time. Data collected are analyzed by using analysis of variance (ANOVA). Software used are Minitab, SAS, Microsoft Excel, and ERP system.
Lifestyle Application for Visually Impaired
Published in Adwitiya Sinha, Megha Rathi, Smart Healthcare Systems, 2019
It applies algorithms used in the framework of modern-day technologies like optical character recognition (OCR), principal component analysis (PCA) for face recognition, and deep convolutional neural network (CNN) used in Tensorflow with some modifications for object detection and recognition. It is further extended to detect color and product information and description using a barcode reader. The application developed also captures images of people and saves the images as a training set into a database. Then, it uses the saved images as a training set to train the system to recognize a particular person in real time whenever he/she comes in front of the camera. For object detection, an already trained dataset has been used for around 1,000 classes of objects, while text recognition is done using Tesseract library with OpenCV. Also, it provides the blind users to sign up for a community, where they can ask for help from volunteers in real time—via video calling features enabled in the application and can text with a modified design of keyboard that operates over Braille language. This new system has additional advantages that include easy to setup and install, high portability, and low start-up costs.
Optimization of material logistics by using leading edge electronic Information and Communication Technologies (ICT) in underground coalmine
Published in Christoph Mueller, Winfred Assibey-Bonsu, Ernest Baafi, Christoph Dauber, Chris Doran, Marek Jerzy Jaszczuk, Oleg Nagovitsyn, Mining Goes Digital, 2019
After loading, the transportation units are pushed on a track through a small shack (“linking station”) before they arrive at the shaft, Figure 5. Inside the linking station, an RFID reader detects the container tag. Thus the stored container number and the container type are known. At the same time, a barcode reader records the barcode label on the container, which indicates the commission number. Thereby the information on material content, commission and transportation unit are fitted together (linked) and thus the content and destination of each transportation unit are known. Next time, each transportation unit is detected via RFID at the shaft entrance before being lifted down to the mine. Another RFID reader at the shaft exit detects the containers returning from the underground installations. Analogically the detection at the stations on the different underground mining levels takes place during the transport to the longwall operations and road headings, see Figure 6.
Reinforcement learning applied to production planning and control
Published in International Journal of Production Research, 2023
Ana Esteso, David Peidro, Josefa Mula, Manuel Díaz-Madroñero
As expected, the manufacturing system is the application context for the reviewed facility resource planning problems. Here problems are generally similar and do not address very complex machine maintenance and configuration problems. Thus the number of machines considered in the reviewed problems ranges from 1 to 10. Most of them address operational maintenance and tactical preventive maintenance problems (repair or replacement strategies), the majority of RL algorithms contemplate the states related to machines (e.g. machine age, remaining maintenance duration, machine’s deterioration state). The second type of problem is operational machine reconfiguration, which contemplates the states related to productive cycle times or the machine’s current configuration. Actions are mostly related to maintain machines (repair, corrective or preventive maintenance) or to do nothing about machine maintenance problems and select machine configuration (reset, align barcode reader, increase or reduce limits, increase or reduce pressure) or do nothing about machine reconfiguration problems. Revenue and costs are the main feedback rewarding signals, while inventory position and capacity loss are promptly considered. Rewards based on specific rules or performance measures are identified.
Automatic extraction of 1D barcodes from video scans for drone-assisted inventory management in warehousing applications
Published in International Journal of Logistics Research and Applications, 2018
Lichao Xu, Vineet R. Kamat, Carol C. Menassa
However, most of these algorithms are only applicable to vertical or approximately vertical barcodes (Figure 4(A)), which greatly limits their wide application in practice. In addition, even though some commercialised algorithms such as the ClearImage Barcode Reader SDK (referred to as ClearImage hereinafter) (‘ClearImage SDK’ 2005) already provide certain abilities to read rotated barcodes (Figure 4(B,C)) from an image, their performance is significantly limited for blurred images. Instead of focusing on decoding a barcode itself, this component of our proposed solution focuses on estimating barcode orientation in an image in an effort to make existing decoding algorithms more effective.