چكيده به لاتين
In recent years, the design of health services network has been considered by many managers and researchers, however, the use of modeling in laboratory diagnostic service delivery networks, which are one of the most important parts of each country's health system, has been neglected. In this regard, the present study presents a multi-period and bi-objective mathematical model in order to increase network profitability and equity in accessibility, which in addition to strategic location and allocation decisions, also deals with capacity planning. On the other hand, to adapt to the dynamics of the environment, decision-making concepts of network redesign through policies such as the establishment of local laboratories and distribution centers integrating laboratory tests, opening and closing distribution centers are included in the model. In addition, due to the strategic nature of network design decision-making, the parameters of the problem are uncertain. To deal with the existing uncertainty, a credibility-based Robust possibilistic programming approach has been used. In this research, the augmented ε-constraint method has been used to solve the bi-objective model and the accuracy of the developed model has been evaluated using a case study of the medical diagnostic network of Tehran province laboratories. The results of the model under the realization data show that considering the uncertainty and the resulting risk will increase the network profit by 10 percent in terms of average criteria. Finally, after analyzing the sensitivity on some model parameters, various management analyzes are presented to help planners in this field.
