Industrial Symbiosis Recommender Systems
Due to the COVID-19 crisis measurements the PhD defence of Guido van Capelleveen will take place online without the presence of an audience.
The recording of this defence will be added to the video overview of recent defences.
Guido van Capelleveen is a PhD student in the Department of Industrial Engineering and Business Information Systems (IEBIS). His supervisors are prof.dr. W.H.M. Zijm and prof.dr. J. van Hillegersberg from the faculty of Behavioural, Management and Social sciences (BMS).
For a long time, humanity has lived upon the paradigm that the amounts of natural resources are unlimited and that the environment has ample regenerative capacity. However, the notion to shift towards sustainability has resulted in a worldwide adoption of policies addressing resource efficiency and preservation of natural resources.
One of the key environmental and economic sustainable operations that is currently promoted and enacted in the European Union policy is Industrial Symbiosis. In industrial symbiosis, firms aim to reduce the total material and energy footprint by circulating traditional secondary production process outputs of firms to become part of an input for the production process of other firms.
This thesis directs attention to the design considerations for recommender systems in the highly dynamic domain of industrial symbiosis. Recommender systems are a promising technology that may facilitate in multiple facets of the industrial symbiosis creation as they reduce the complexity of decision making. This typical strength of recommender systems has been responsible for improved sales and a higher return of investments. That provides the prospect for industrial symbiosis recommenders to increase the number of synergistic transactions that reduce the total environmental impact of the process industry in particular.
