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A MODEL-VIEW-CONTROLLER BASED PLATFORM FOR THE MODELING AND SIMULATION OF THE HOIST SCHEDULING PROBLEM
Abstract:
The hoist scheduling problem is a complex optimization challenge frequently encountered in various domains such as construction, manufacturing, and logistics. Efficiently scheduling hoist operations is crucial for maximizing productivity, minimizing delays, and ensuring safe and cost-effective material handling.
In this study, we propose a Model-View-Controller (MVC) based platform for modeling and simulating the hoist scheduling problem. The MVC architectural pattern provides a modular and scalable framework for developing software applications, offering clear separation between the data model, user interface, and control logic.
The platform consists of three core components: the Model, View, and Controller. The Model component represents the underlying data structures and algorithms required for modeling hoist operations, such as defining the hoist fleet, assigning tasks, and optimizing schedules. The View component encompasses the user interface, allowing users to interact with the platform, visualize hoist schedules, and input relevant parameters. The Controller component acts as the intermediary between the Model and View, coordinating the flow of data and implementing the scheduling algorithms.
By adopting the MVC architecture, the platform provides several advantages for modeling and simulating the hoist scheduling problem. Firstly, it promotes modularity and separation of concerns, enabling developers to focus on specific components without affecting the overall system. This facilitates code reusability, maintainability, and extensibility. Secondly, the MVC pattern allows for the integration of different scheduling algorithms and optimization techniques, giving users the flexibility to select the most suitable approach for their specific requirements. Thirdly, the platform offers a user-friendly interface and visualizations, enhancing the usability and intuitiveness of the scheduling process.
To evaluate the effectiveness of the proposed platform, extensive simulations and experiments were conducted using real-world hoist scheduling scenarios. The results demonstrate that the MVC-based platform effectively models and simulates hoist scheduling operations, providing accurate schedules and efficient resource allocation.
In conclusion, the presented Model-View-Controller (MVC) based platform offers a comprehensive solution for the modeling and simulation of the hoist scheduling problem. It provides a flexible, modular, and user-friendly environment for optimizing hoist operations, enabling organizations to improve productivity, reduce costs, and enhance safety in material handling processes.
A MODEL-VIEW-CONTROLLER BASED PLATFORM FOR THE MODELING AND SIMULATION OF THE HOIST SCHEDULING PROBLEM, GET MORE COMPUTER SCIENCE PROJECT TOPICS AND MATERIALS
