In today’s dynamic and rapid supply chain, the need for flexible, efficient and affordable warehouse solutions has never been more needed particularly for the SME market which don’t often get exposed to high-end automation. Although automation models have been increasingly developed, a warehouse automation model that is affordable, practicable, and scalable is still largely lacking. This thesis fills this gap by the proposition of a planning framework for AMR systems with an integration of Autonomous Mobile Robots and the development of a dynamic simulation-based automated warehouse system solution for modern intralogistics.
The research was based on a Research-Based Development (RBD) approach. It started with a comprehensive literature review to understand present technologies, and to identify constraints of the conventional AGV systems, specifically their non-flexibility in our SME situations. Based on these results, the system has been implemented on Robot Operating System (ROS) and simulated in a warehouse in Webots, to model AMR movements, path planning (A*, DWA), SLAM-based localization and task coordination logic.
The architecture of the system was iteratively designed using an Agile process, and performance data from simulation testing enabled ongoing refinement of the system. Major functionality components including obstacle avoidance, multi-robot coordination, task scheduling and layout adaptability were thoroughly tested in tailor scenario settings, providing a close replication of real-world SME use cases and testbed constraints. Security, scalability and easy integration were given prime importance.
As a consequence, a working man-model was implemented, model and evaluated in simulation. The system shows high potential in decreasing the amount of manual labeling intervention, increasing the throughput and providing small and medium enterprises (SMEs) a more affordable way to intelligent warehouse automation. It closes not only some identified lacunae in existing literature, but also delivers an easily reproducible model for logistically operating real-world, scale-based, and simulation-validated deployment.
E-Prescription is the computer-based electronic generation, transmission, and filling of a medical prescription. It outlines the ability to send error-free, accurate, and understandable prescriptions electronically from the healthcare provider to the pharmacy. The major reasons for using e-prescription for improve safety and quality of care while reducing prescription errors.
The main aim and objective is to plan and program web applications. This system has to apply the best software engineering practices for web applications. The system is developed as an Online Quiz website using HTML, PHP, CSS, and SQL database systems. This system is generally used by Two kinds of users: users and administrators. This site provides the facilities to create an online Quiz and registered examinees can access the exams and participate. The admin can add courses, exams, exam questions, and examinees also. The examinee than log into the site with a registered email id and password which is created by the admin. After that, he/she(the examinee) can see how many exam’s is pending and how many have been done. Users can also send feedback through this website to the admin anonymously or user’s own identity. The Online Quiz system is developed on the concept of ClassMarker. This custom web-based Testing tool allows to easily create secure online Exams & assessments with advanced Quiz settings such as time limits, public & private Test access, instant feedback, multiple choice, etc. The administrators, instructors, and Students who are attending online examinations can communicate with the system through this project, thus facilitating effective implementation and monitoring of various activities of Online Examinations like conducting Exams as per scheduled basis and delivering results to that particular use or student. The details of students who attempted the Online Examination are maintained by the administrator.