Stochastic location models are facility location models where consumers generate streams of stochastic demands for service and service times are stochastic. This combination leads to congestion. Therefore, each facility in these models can be modeled as a queuing system. In case of immobile servers, server is fixed and customers visit the facility to use the services offered by the server. Retail stores (e.g. Supermarkets, IKEA etc.), ATM machines, government offices and hospitals are examples of immobile servers. The main decisions involved in designing such a network is where to locate these facilities and what should be the capacities of the servers at these selected facility locations. The literature streams based on stochastic location models with immobile facilities and congestion (SLMIFC) can be divided into various categories based on the different objective functions, underlying queuing model (e.g. M\G\1), and incorporation of user choice to patronize facilities of their choice.
|Nov. 2014 – heute||Wissenschaftlicher Mitarbeiterin am Lehrstuhl für Service-Operations (Prof. Dr. Schön), Business School, Universität Mannheim|
|Feb. 2014 - Oct. 2014||Wissenschaftlicher Mitarbeiterin, Indian Institute of Management Ahmedabad, Indien|
|July 2012 - Nov. 2013||Lehrassistentin, Indian Institute of Technology Bombay, Indien|
|2010-2013||M.Sc. Operations Research, Indian Institute of Technology Bombay, Indien|
|2007-2010||B.Sc. Computer science, Kurukshetra University, Indien|