Abstract

Motivated by a request from a real company, this study presents a mixed integer linear programming (MILP) model for labor transportation at real company located in Dubai (BSG). The study integrates routing, assignment, and environmental pricing into one model, with the focus on fixed shift worker transport and featuring several dorms and sites. It also tests the model with the real company data from the UAE service sector. The model assigns workers from dormitories to the client sites by busses in a manner that minimizes daily transport cost and monetized CO₂ emissions, subject to capacity, routing, and utilization constraints. The model represents one day of planning horizon, with multiple dorms and sites, as well as bus types. Decision variables describe bus activation, route selection, arc movements, and worker flows. Cost terms combine fuel use, lease and driver payments, and a carbon price per kilogram of CO₂. Python and PuLP tools were used to solve modelbased problems using BSG data. The models considered a small network with three buses and nine sites and a larger network with six buses and thirty-nine sites. The results revealed an optimized assignments that satisfy all site demands and operational constraints while reducing financial cost relative to current practice. The daily financial cost falls from 951.65 AED to 726.07 AED in Scenario 1, for a reduction of about 23.7%. While in Scenario 2, the daily financial cost falls from 1,630.37 AED to 1,325.88 AED, for a reduction of about 18.7%. Routes chosen by the model concentrate demand on fewer buses with higher occupancy and lower avoidable distance. The findings also confirmed that an MILP-based decision support tool reduces operating expenditure and supports transparent reporting of CO₂ emissions for labor transport in facilities management.

Publication Date

12-2025

Document Type

Thesis

Student Type

Graduate

Degree Name

Engineering Management (ME)

Department, Program, or Center

Mechanical Engineering

Advisor

Dua Weraikat

Advisor/Committee Member

Sharfuddin Ahmed Khan

Advisor/Committee Member

Muhammed Imran

Comments

This thesis has been embargoed. The full-text will be available on or around 1/5/2027.

Campus

RIT Dubai

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