ABSTARCT :
Project Scheduling is important since it plays an effective role in project success. To organize and complete your projects in a timely, quality and financially responsible manner, you need to schedule projects carefully. Effective project scheduling plays a crucial role in ensuring project success.
Scheduling is used to keep projects on track, set realistic time frames, assign resources appropriately and manage quality to decrease product errors. This typically results in reduced costs and increased customer satisfaction.
Improper scheduling leads to delay in the project, budget overrun which results in project failure. Hence proper scheduling is important. In this project the detailed project schedule is prepared using Microsoft Project Software.
MS Project is used for scheduling as it provides tools that are simple for anyone to use, flexible for any project type, powerful for initiatives of any size, and transparent for visibility across the organization. The software offers a simple and intuitive interface where users can switch between grids, boards, or Gantt charts to track progress.
This document gives detailed information about how to prepare schedule in MS Project. In this study, scheduling of fabrication project has been done to display how can we prepare a schedule using MS Project.
EXISTING SYSTEM :
In addition to that, the big data platforms construct the task graph per job which can be generated either in a static or dynamic mode. Hence, the task scheduling should have the ability to handle and schedule both static and dynamic task graphs.
A dataflow framework designed to process data, consists of well defined layers such as communication, resource scheduling, task system, and distributed data abstraction. The design decisions made at each layer determines the the applications supported efficiently.
We find that modern systems are designed with a fixed set of design choices at these layers rendering them suitable for narrow set of applications. Twister2 [8] is a big data system designed to overcome some of the shortcomings of monolithic designs of current big data systems by introducing a clear component based approach to big data.
Because of this, Twister2 needs to support a broad range of task scheduling capabilities. We take Twister2 as an integral part of our discussion to introduce some of the requirements of big data application.
Complexity in Setup and Maintenance :Setting up a task scheduler can be complex, especially for large projects. It requires defining dependencies, deadlines, resources, and other variables accurately.
Over-reliance on the Tool : Project teams may become too reliant on the scheduler and neglect necessary communication or adaptive project management strategies.
Inflexibility :Some task schedulers, especially more rigid ones, may not handle changes easily. If tasks are delayed or re-prioritized, it can be cumbersome to update the schedule manually.
Learning Curve: New users may face a steep learning curve when trying to understand the scheduler's functionality, especially if it is feature-heavy or complex.
Limited Customization: Some schedulers have preset templates and may not allow customization to meet specific project needs.
In addition to that, the big data platforms construct the task graph per job which can be generated either in a static or dynamic mode. Hence, the task scheduling should have the ability to handle and schedule both static and dynamic task graphs.
A dataflow framework designed to process data, consists of well defined layers such as communication, resource scheduling, task system, and distributed data abstraction. The design decisions made at each layer determines the the applications supported efficiently.
We find that modern systems are designed with a fixed set of design choices at these layers rendering them suitable for narrow set of applications. Twister2 [8] is a big data system designed to overcome some of the shortcomings of monolithic designs of current big data systems by introducing a clear component based approach to big data.
Because of this, Twister2 needs to support a broad range of task scheduling capabilities. We take Twister2 as an integral part of our discussion to introduce some of the requirements of big data application.
DISADVANTAGE :
Complexity in Setup and Maintenance :Setting up a task scheduler can be complex, especially for large projects. It requires defining dependencies, deadlines, resources, and other variables accurately.
Over-reliance on the Tool : Project teams may become too reliant on the scheduler and neglect necessary communication or adaptive project management strategies.
Inflexibility :Some task schedulers, especially more rigid ones, may not handle changes easily. If tasks are delayed or re-prioritized, it can be cumbersome to update the schedule manually.
Learning Curve: New users may face a steep learning curve when trying to understand the scheduler's functionality, especially if it is feature-heavy or complex.
Limited Customization: Some schedulers have preset templates and may not allow customization to meet specific project needs.
PROPOSED SYSTEM :
This system will consist of multiple modules designed to efficiently handle task creation, assignment, resource allocation, and progress tracking. The core features include task management, where project managers can create tasks, define dependencies, and set priorities.
A resource management module will allocate resources based on availability and skills, ensuring optimal utilization. A dynamic Gantt chart and timeline visualization will offer a clear overview of the project’s progress, displaying tasks, deadlines, and dependencies.
To improve communication, the system will include a collaboration module, allowing team members to discuss tasks, share files, and provide feedback in real time. Additionally, the task tracking module will monitor progress by tracking task status, time spent, and identifying any delays or issues.
A risk management feature will help identify potential risks to the project timeline, while a budget management module will track resource costs to ensure the project stays within financial constraints.
ADVANTAGE :
Improved Time Management :A task scheduler helps break down the project into manageable tasks with clear deadlines, ensuring that tasks are completed on time.
Better Resource Allocation :Task schedulers help allocate resources (people, equipment, budget) more effectively by ensuring that tasks are assigned to the right team members based on availability and skills.
Clear Prioritization :Task schedulers help prioritize tasks based on dependencies, deadlines, and project goals. This ensures that important tasks are completed first, and work proceeds in an organized manner.
Enhanced Communication :Task schedulers improve communication within the team by clearly assigning tasks, deadlines, and expectations.
Real-Time Tracking and Updates :Task schedulers allow for real-time tracking of task progress. Project managers can monitor whether tasks are completed on time or if delays are occurring.
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