Andrea Chiussi

Progetto di ricerca
​Models and Methods for resource optimization in Waste Management

Nowadays, it is fundamental for companies to invest in the use of digital technologies to provide new revenue and value-producing opportunities or even change their business model. Data analytics, Engineering Economics and Operations Research are the means to move from data to information and then from information to insights for decision making, thus taking full advantage of the opportunities enabled by the digitalization of the business processes. The research we are performing is focused on case studies derived from real business cases, where the use of mathematical models and heuristic algorithms can make it possible to optimize the usage of resources and to lead to high-quality data-driven decisions. The focus of the thesis is mainly on Vehicle Routing Problems (VRP) and on the wider area of data analytics in waste management, where resource optimization can have positive effects on both companies and public budgets

Pubblicazioni

• Chiussi, A., Orlis, C., Roberti, R., & Dullaert, W. (2022). ATM cash replenishment under varying population coverage requirements. Journal of the Operational Research Society, 73(4), 869-887.

• Chiussi, A., de Paula Felix, G., Iori, M., & dos Santos, A. G. (2022, September). Industrial Waste Collection Optimization: A Real-World Case Study in Northern Italy. In Computational Logistics: 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp. 147-161). Cham: Springer International Publishing