12th of February seminar:

  • Andrei Sleptchenko
    Title: Optimal Cross-Training in Supply Systems for Repairable Spare Parts  
    Abstract: We study a spare part supply system for repairable spare parts where parallel repair servers have multiple skills (can repair different parts). Demands for the spares of different types occur according to Poisson processes and the failed spare parts are immediately replaced from the inventory, if available. Otherwise, failed parts are backordered and fulfilled when a spare of the same type becomes available (is repaired). The repair servers are heterogeneous and can process certain types of repairables only if they have the necessary skill. In the analyzed system, in contrast with the other skill-optimization models, there is a trade-off between adding extra skills to servers (training) or adding extra inventory. The main objective is to optimize the skill-assignment (“cross-training” of the servers) together with the optimization of the spare parts inventory levels in order to minimize the total system cost. 
    Bio: Dr. Andrei Sleptchenko is a faculty member at the Department of Industrial and Systems Engineering at Khalifa University. His primary research interests are in stochastic modeling and optimization of Maintenance Logistics Systems. Before joining the Khalifa University, Dr. Sleptchenko served as a faculty member at the Department of Mechanical and Industrial Engineering at Qatar University.  Prior to that, Dr. Sleptchenko worked for several years for different consulting companies in the area of Supply Chain and Transportation and as an Assistant Professor and a researcher in various Universities in the Netherlands and the USA.

  • Guido van Cappelleveen
    Title: Industrial Symbiosis Recommenders 
    Abstract: Industrial symbiosis aims to stimulate or enhance cooperation between industrial firms to utilize industrial waste streams from other industries and to share related knowledge, in order to achieve sustainable production. Recommenders can support industries through the identification of item opportunities in waste marketplaces, enhancing activities that may lead to the development of an active waste exchange network. In our talk we dive into the generalized design process of recommender systems and how recommendation systems can be built to stimulate Industrial Symbiosis.
    Bio: Guido van Capelleveen joint IEBIS as a Ph.D. candidate in November 2015. He holds a Master degree in Business Information Technology from the University of Twente. His MSc thesis research was performed at the University of California, San Diego, where he researched the application of outlier based predictors for Health Insurance Fraud Detection in the U.S. Medicaid program. After his Masters, he worked as an information analyst on management information systems for one of the largest Dutch software organizations. His current research takes place in the SHAREBOX project, which is concerned with the design of a management platform for shared process resources with the objective of facilitating industrial symbiosis through identification of new synergies or optimize existing symbiosis among multiple companies.