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Decision Support System Design Project: Priority - Based Resource Allocation Overview In this project, you will develop a prototype for a Decision Support System (
Decision Support System Design Project: PriorityBased Resource Allocation Overview In this project, you will develop a prototype for a Decision Support System DSS that helps administrators make informed decisions by prioritizing entities based on weighted criteria. This system will be applicable to a specific problem domain, such as resource allocation in schools, hospitals, or retail stock management. Objective The aim is to design and implement a DSS prototype that processes data to rank items or choices according to their importance or urgency, aiding decisionmakers in focusing on priority areas. Team Composition and Project Scope Requirements This is a teambased project. Students are required to form teams of up to three members. Teams of four or five members are permitted only if the scope and size of the project are appropriately expanded to justify the larger team size. Project Scenario: Efficient Allocation of Educational Resources Problem Context: A school district needs to distribute educational resources such as funding, staff, and materials among its schools to maximize educational outcomes. Your Task: Develop a DSS that prioritizes schools based on various criteria like current performance levels, resource deficits, and student demographics to suggest an optimal allocation strategy. Project PhasesDeliverables Problem Selection: Choose a specific domain and problem for your DSS application. Data Collection and Handling: Gather data relevant to the problem, which could be real or simulated. Development of Decision Logic: Create a scoring system that weights different factors according to their importance in decisionmaking. Prototype Development: Implement the decision logic in a simple software tool using Python or another accessible programming environment. Testing and Refinement: Test the prototype to ensure it operates as intended and refine based on feedback or observed issues. Presentation and Evaluation: Present the DSS to peers and instructor, demonstrating its functionality and explaining the decisionmaking process. of Tools: You may use any of the free tools available for decision support system DSS applications. Here are some commonly used ones: Microsoft Excel Google Sheets Python with Libraries
Decision Support System Design Project: PriorityBased Resource Allocation
Overview
In this project, you will develop a prototype for a Decision Support System DSS that helps
administrators make informed decisions by prioritizing entities based on weighted criteria. This
system will be applicable to a specific problem domain, such as resource allocation in schools,
hospitals, or retail stock management.
Objective
The aim is to design and implement a DSS prototype that processes data to rank items or choices
according to their importance or urgency, aiding decisionmakers in focusing on priority areas.
Team Composition and Project Scope Requirements
This is a teambased project. Students are required to form teams of up to three members.
Teams of four or five members are permitted only if the scope and size of the project are
appropriately expanded to justify the larger team size.
Project Scenario: Efficient Allocation of Educational Resources
Problem Context: A school district needs to distribute educational resources such as funding, staff,
and materials among its schools to maximize educational outcomes.
Your Task: Develop a DSS that prioritizes schools based on various criteria like current performance
levels, resource deficits, and student demographics to suggest an optimal allocation strategy.
Project PhasesDeliverables
Problem Selection: Choose a specific domain and problem for your DSS application.
Data Collection and Handling: Gather data relevant to the problem, which could be real or
simulated.
Development of Decision Logic: Create a scoring system that weights different factors
according to their importance in decisionmaking.
Prototype Development: Implement the decision logic in a simple software tool using
Python or another accessible programming environment.
Testing and Refinement: Test the prototype to ensure it operates as intended and refine
based on feedback or observed issues.
Presentation and Evaluation: Present the DSS to peers and instructor, demonstrating its
functionality and explaining the decisionmaking process.
of
Tools:
You may use any of the free tools available for decision support system DSS applications. Here are
some commonly used ones:
Microsoft Excel
Google Sheets
Python with Libraries
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