In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is the minimization of the weighted summation of the expected cost of passenger waiting time, it...

performance budgeting has been an important theme of public expenditure management for decades. in the 1990s, however, a new wave of enthusiasm for performance budgeting began to sweep through governments. in recent years, however, the level of interest in organizational use of performance-based budgeting re-emerged with more details and support from researchers and practitioners. performance-b...

Surgical suits allocate a large amount of expenses to hospitals; on the other hand, they constitute a huge part of hospital revenues. Patient flow optimization in a surgical suite by omitting or reducing bottlenecks which cause loss of time is one of the key solutions in minimizing the patients’ length of stay[1] (LOS) in the system, lowering the expenses, increasing efficiency, and also enhanc...

this paper presents some analyses about the robust practical stability of a class of nonlinear affine systems in the presence of non-vanishing perturbations based on the passivity concept. the given analyses confirm the robust passivity property of the perturbed nonlinear systems in a certain region. moreover, robust control laws are designed to guarantee the practical stability of the perturbe...

Background: The construction of metro lines is a high-risk project. Using a budget-based model for the safety units of metro construction projects can help safety managers to spend optimal budget allocation. The purpose of this study was to plan a budget model based on safety unit performance in an under construction metro station for better budget allocation using robust optimization. Methods...

Optimization software is commonly used to solve simulation-based problems such as optimal design and control, model parameter estimation, and best/worst-case scenario identification. While the value of such software is widely recognized, user feedback indicates that these tools are difficult for nonexperts to use. In particular, users are unfamiliar with the details of the plethora of available...

in a robust parameter design (rpd) problem, the experimenter is interested to determine the values of con-trol factors such that responses will be robust or insensitive to variability of the noise factors. response sur-face methodology (rsm) is one of the effective methods that can be employed for this purpose. since quality of products or processes is usually evaluated through several quality ...

This paper considers the problem of designing a network to transport material from sources of supply to sites where demand occurs. However, the demand at each site is uncertain. We formulate the problem as a robust discrete optimization problem. The minimax objective is to nd a robust solution that has the best worst-case performance over a set of possible scenarios. However, this is a di cult ...