Moaz Alsawadi: Better Systems Start With the People Using Them

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From warehouse workflows to a study of 343 library users, the industrial engineering graduate is developing a practical interest in the relationship between people, workplaces and performance.

For Moaz Alsawadi, one of the most useful engineering questions begins with something easy to overlook: what does this system feel like to the person using it? A workstation can appear orderly, a process can look efficient on paper, and a dashboard can show activity without revealing what makes the work difficult.

That question became the centre of his industrial engineering capstone at Bahçeşehir Cyprus University. Rather than treating the university library as a collection of desks and chairs, he approached it as a working environment whose design could be tested against the needs of its users.

The project drew on responses from 343 library users, using a structured musculoskeletal questionnaire to investigate discomfort. Statistical analysis in SPSS and anthropometric assessment informed recommendations on workstation height, lighting and seating configuration.

“The most valuable part was learning not to jump straight from a complaint to a solution,” he says. “First, you have to understand whether you are seeing an individual preference or a repeated design problem.”

Observation before intervention

His internship with Aramex in Riyadh offered a different setting for the same habit of attention. Observing packaging, sorting and handling workflows meant looking beyond the sequence of tasks to consider movement, material use and the points at which work slowed down.

He mapped processes, discussed operational routines with supervisors and helped collect KPI data. The experience gave him a grounded view of improvement: a recommendation only becomes useful when it fits the conditions in which people actually work.

In his telling, the warehouse and the library shared a lesson. Measurement matters, but choosing what to measure matters just as much. Counting completed tasks alone cannot explain unnecessary movement, and recording a user's discomfort does not by itself identify the design feature responsible.

That distinction is shaping the way he thinks about industrial engineering. He is interested in systems that make work clearer and more manageable, not simply systems that ask people to work faster.

“A good improvement should make sense to the person doing the task,” he says. “If you cannot explain how it helps them, you probably have more work to do.”

His early portfolio connects logistics, ergonomics and process analysis through that practical test. Better performance, in this view, starts with paying closer attention to people.

Profile details

Field: Industrial engineering, ergonomics and logistics.

Education: B.Sc. in Industrial Engineering, Bahçeşehir Cyprus University, 2026.

Selected project: Ergonomic assessment of university library workstations.

Tools and methods: SPSS, Excel, process analysis and ergonomic assessment.

Get in touch

For more information about Moaz's work in industrial engineering, ergonomics or logistics, contact Moaz directly at moazalsawadi1@gmail.com. Enquiries about the ideas and projects featured in this article are welcome.