University of Twente Student Theses


On the right track: Developing a multi-objective routing optimization model for high-speed logistics companies

Minghetti, V.M. (2023) On the right track: Developing a multi-objective routing optimization model for high-speed logistics companies.

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Abstract:We conduct this research at the Customer Service (CS) department within a Special Speed Logistics Company (SSLC), a freight-forwarding company specialized in urgent deliveries. This department is responsible for handling incoming requests for transportation jobs from its customers. The requests come in daily, mostly by phone or email. Agents of the customer service handle them by first offering a quotation to the customer. This offer contains information about the proposed route to transport the parcel, including an estimated time of pickup and arrival at destination, and a price. If the customer agrees with the quotation, the agents proceed with the booking. Once the booking is complete, logistic partners involved are notified, and thus proceed on executing the transportation job. Crucial to the entire process is the route calculation. The latter is done by entering information about the shipment’s pickup and delivery locations, availability time, nature of transported goods and dimensions into a route calculator, which then returns a set of feasible routes. The current system has several limitations, requiring agents to regularly use their expertise and make manual amendments to the routes. As SSLC is moving towards more standardized and data-driven operations, they wish to improve the route calculation of their express airfreight network. We approach this assignment from a mathematical perspective, and thus formulate the main goal of this research: Design and validate a mathematical route optimization model that minimizes transit time, expected delay and costs, such that it cumulatively improves the current Express Airfreight routes at SSLC
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:31 mathematics, 50 technical science in general
Programme:Industrial Engineering and Management MSc (60029)
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