conclusions the frequency of nis in this hospital was lower in comparison with other worldwide studies. however, low incidence of health care-associated infections in our study may be due to under diagnosis and underreporting of such infections by health care staff. results the incidence of nis was low (i.e. < 2%). among 16936 admitted patients in this hospital, 174 patients (79 males and 95 fe...

COVID-19 pandemic has resulted in an inflow of patients into the hospitals and overcrowding healthcare resources. Healthcare managers increased capacities reactively by utilizing expensive but quick methods. Instead this reactive capacity expansion approach, we propose a proactive approach considering different realizations demand uncertainties future due to COVID-19. For purpose, stochastic dy...

Heart Research Center and Moore Institute, Oregon Health and Science University, Portland, OR, USA, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, Hampshire, UK, Chair of Fetal Programming, Zoology Department, College of Science, King Saud University, Riyadh, Saudi Arabia, Department of Chronic Disease Prevention, National Institute for H...

Personnel scheduling involves scheduling people to timeslots and possibly locations. This problem remains the subject of much research interest with a survey in every decade since the 1970’s [2, 8, 4]. Several models including Constraint Satisfaction Problem (CSP) [6], mathematical programming (linear programming, 0-1 integer programming etc.) [3], and different solution methods (exact [3] or h...

in this paper, a mathematical method is proposed to formulate a generalized ordering problem. this model is formed as a linear optimization model in which some variables are binary. the constraints of the problem have been analyzed with the emphasis on the assessment of their importance in the formulation. on the one hand, these constraints enforce conditions on an arbitrary subgraph and then g...

abstract it is the purpose of this article to introduce a linear approximation technique for solving a fractional chance constrained programming (cc) problem. for this purpose, a fuzzy goal programming model of the equivalent deterministic form of the fractional chance constrained programming is provided and then the process of defuzzification and linearization of the problem is started. a samp...

abstract regarding the imprecise or fuzzy data on the agriculture activities, applying models based on fuzzy data may be useful. in line with this condition this study tries to compare the ability of possiblistic programming approach in developing optimal solution with fuzzy and deterministic programming. to get this objective a data set obtained from 90 farmers of kohgilooye region, gathered i...