Engineering Workshop Inventory & Infrastructure System

A low-cost, high-usability system for component categorisation, location tracking, and resource management in a high-mix engineering workshop environment.

Overview

This project addresses a practical operational challenge common to small engineering labs and prototyping workshops: the difficulty of tracking and locating components, tools, and consumables in a high-mix, high-turnover environment. The result is a structured inventory and infrastructure system designed around the real constraints of academic and small-scale engineering settings.

Problem Context

Engineering workshops that support active prototyping face persistent inventory challenges:

  • Components are sourced in small quantities across many categories
  • Items move frequently between users and workstations
  • Standard commercial solutions are either too expensive or too complex for small labs
  • Time lost searching for parts directly impacts project throughput

System Design

Core Features

  • Structured component categorisation by type, function, and location
  • Physical and/or digital location tracking to enable fast retrieval
  • Designed for low cost and minimal maintenance overhead

Design Philosophy

The system prioritises usability over sophistication. A tracking system that engineers actually use is more valuable than a technically complex one that is abandoned in practice. Design decisions at every stage were evaluated against this criterion.

Engineering Approach

  • Efficiency over complexity — lean information architecture, minimal data entry burden
  • Scalability — suitable for small labs, with a structure that can grow with the workshop
  • Low cost — implementable without specialised hardware or commercial software licences

Engineering Significance

While unglamorous relative to field robotics or control systems work, workshop infrastructure is a genuine multiplier on engineering productivity. A well-organised lab enables faster prototyping cycles, reduces component loss and repurchase costs, and lowers the cognitive overhead of project work. This project applies systematic engineering thinking to an operational problem that directly affects research and teaching output.