Case Study
Resource Allocation System
A role-based scheduling and coordination platform designed to model operational workflows, manage constraints, and improve visibility into resource planning.
Role
Solo Engineer
Status
In Progress
Focus
Workflow Coordination
Type
Operational System
Overview
What this project is
This project models how scheduling and resource coordination can be handled through a structured system instead of ad hoc manual processes. It focuses on role-based workflows, allocation visibility, and database-backed scheduling logic.
Problem
Why this project exists
Resource planning often becomes difficult when assignments, timing, and availability are managed across scattered tools or informal processes. The goal of this project was to design a system that creates clearer workflow structure around allocation and scheduling decisions.
Goals
Project goals
- • Model allocation and scheduling logic in a structured database schema
- • Support role-based workflows for managing assignments
- • Reduce ambiguity around availability and planning decisions
- • Create a maintainable full-stack pattern for operational systems
System
System architecture
The system separates scheduling logic, stored records, and user-facing interfaces so allocation workflows can remain consistent and easier to reason about as complexity grows.
User input / assignments
↓
Validation rules
↓
Scheduling logic
↓
PostgreSQL
↓
API routes
↓
Planning interface
Stack
Technology used
- • TypeScript
- • Next.js
- • Node.js
- • PostgreSQL
- • Tailwind CSS
Features
Key capabilities
- • Role-based scheduling flows
- • Structured assignment and availability records
- • Conflict-aware operational logic
- • Database-backed planning interface
- • Usable views for managing workflow coordination
Technical Decisions
Important implementation choices
Why role-based workflows
Resource systems often depend on different levels of responsibility and visibility, so role-based views help keep decision-making and data access aligned.
Why a relational model
Scheduling systems involve structured relationships between people, roles, assignments, and time windows, making relational data modeling a strong fit.
Why explicit validation rules
Scheduling conflicts and ambiguous assignments are easier to manage when validation rules are handled intentionally instead of relying on UI assumptions alone.
Constraints
Challenges and limitations
Operational systems can become complex quickly as edge cases around availability, conflicts, and reassignment increase. This project focuses on a narrower workflow model first so the architecture can stay clear and extensible.
Outcome
What this project demonstrates
This project demonstrates systems thinking, relational data modeling, and the design of full-stack tools that support real-world workflow coordination rather than isolated interface interactions.
Next Steps
Future improvements
- • Expand conflict-handling logic for more edge cases
- • Add timeline and calendar-oriented planning views
- • Improve auditability for allocation changes
- • Refine documentation around scheduling rules and constraints