In his dissertation, "Vehicle Routing with Varying Levels of Demand Information", ERIM's Ymro Hoogendoorn studied the vehicle routing problem, for which he centred the exact methodology in three different levels of demand information: deterministic, stochastic and sensor-driven. The vehicle routing problem encompasses the challenge of efficiently serving a set of customers with a fleet of vehicles while minimising the travel costs and ensuring each vehicle starts and ends at a central depot. Ymro enhanced the branch-price-and-cut algorithm, introducing resource-robust cuts for the capacitated vehicle routing problem with deterministic demands, resulting in speedups for specific instances. Additionally, he pioneered an advanced integer L-shaped method for optimal solutions in stochastic demand situations. Applied to waste collection with sensors, the algorithm recommended optimal sensor placement for locations with variable waste. Overall, Ymro’s research significantly contributes to improving routing efficiency, showcasing potential cost savings and environmental benefits.
Consistently ranked as one of the top management research centres in Europe, the Erasmus Research Institute of Management (ERIM) has been cultivating an environment for the development of internationally recognised management knowledge with academic and societal impact since 1998.
ERIM researchers, a community of almost 350 management scientists, are focused on the real needs of business and management, and dedicated to producing relevant and excellent research that adds innovative dimensions to management knowledge. ERIM combines publishing in leading academic journals with effective dissemination through research projects and advanced doctoral programmes in business and management for aspiring researchers. Where possible, research is created in conjunction with business.
In his dissertation, "Externalities in Economics and Finance: Essays on Spillover Effects and Economic Decisions", ERIM's Francesco Mazzola investigated the behaviour of investors, buyers, and the public sector in illiquid markets during turmoil times of financial and health crises, centring the role of externalities – the impact of one party’s actions on others. The dissertation suggested that individuals exposed to externalities often internalise externalities in their decision-making process. Through his study, Francesco proposed the implications of externalities and associated economic inefficiency for governments and policymakers to prevent individually rational but socially wasteful behaviour through policy intervention. As the presence and size of externalities often justify Government intervention, studying the propagation of spillover effects across market agents is a prerequisite to designing optimal policy.