en پژوهشی Original <font size="3"><font face="Times New Roman"> </font><span style="line-height: 115% font-size: 10pt"><em><font face="tahoma,arial,helvetica,sans-serif">We consider a generalization of the classical quadratic assignment problem, where coordinates of locations are uncertain and only upper and lower bounds are known for each coordinate. We develop a mixed integer linear programming model as a robust counterpart of the proposed uncertain model. A key challenge is that, since the uncertain model involves nonlinear objective function of the uncertain data, classical robust optimization approaches cannot be applied directly to construct its robust counterpart. We exploit the problem structure to develop exact solution methods and present some computational results.<o:p /></font></em></span><font face="Times New Roman"> </font></font> Uncertainty modeling, Robustness and sensitivity analysis, Facilities planning and design, Quadratic assignment problem, Non-linear integer programming 46 65 http://iors.ir/journal/browse.php?a_code=A-10-58-2&slc_lang=en&sid=1 Feizollahi 0003194753284600891 0003194753284600891 No Modarres yazdi 0003194753284600892 0003194753284600892 Yes