Employee mobility brings significant operational and environmental challenges for work-intensive businesses like facilities management, especially in areas with scattered work sites and rigid shift times. Inefficiencies in Berkeley Services UAE LLC's current static labor transport system are taken into account throughout this thesis. Berkeley Services UAE LLC is a large facilities management company with operations within the United Arab Emirates. In order to dynamically allocate workers across buses and minimize transportation expenses and CO2 emissions, an MILP model is formulated. Labor clustering, transportation capacity, and dorm-to-site routing constraints are included in the model. In addition to establishing scholarly knowledge of labor transport optimization, the research also offers a scalable and sustainable planning tool for direct use in real-life situations in identical operating conditions based on modelling real-world data from BSG.
A Data-Driven MILP Approach to Minimize Transportation Costs and Emissions in Labor-Intensive Industries
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