Combined discrete event and continuous views of production processes are important in designing computer control systems for both process industries and manufacturing. The paper presents an extension of the popular Matlab–Simulink simulation tool to facilitate the simulation of the discrete sequential control logic applied to continuous processes. The control system is modelled as a combined sy...

Sequential analysis of output data during stochastic discrete-event simulation is a very effective practical way of controlling statistical errors of final simulation results. Such stochastic sequential simulation evolves along a sequence of consecutive checkpoints at which the accuracy of estimates, usually conveniently measured by the relative statistical error, defined as the ratio of the ha...

Abstract Background The role of sequential blood culture time to positivity (TTP) as a surrogate marker for bacterial load and prognostic indicator in S. aureus bacteremia (SAB) is not well established the literature. Methods We performed single healthcare system, multi-site, retrospective review adult patients with positive between January 2019 December 2019. Sequential TTP was defined first s...

A large class of problems of sequential decision-making can be modeled as Markov or Semi-Markov Decision Problems, which can be solved by classical methods of dynamic programming. However, the computational complexity of the classical MDP algorithms, such as value iteration and policy iteration, is prohibitive and will grow intractably with the size of problems. Furthermore, they require for ea...

In this paper, we solve the sequential stopping problem for a class of simulation problems in which variance estimation is difficult. We establish the asymptotic validity of sequential stopping procedures for estimators constructed using the sectioning (replication) methods with a fixed number of sections. The limiting distribution of the estimators at stopping times as the error size (the abso...

Recent research and management experience has led to several frameworks for defining and managing carrying capacity of national parks and protected areas. The process outlined in contemporary carrying capacity frameworks embodies the principles of adaptive management. That is, management decisions are guided and adapted within these frameworks by monitoring indicator variables to ensure that st...

In quantitative discrete-event simulation, the initial transient phase causes bias in the estimation of steady-state performance measures. Methods for detecting and truncating this phase make calculating accurate estimates from the truncated sample possible, but no methods proposed in the literature have proved to work successfully in the sequential analysis of simulated systems. This report pr...

Long term business success highly depends to how fast a company reacts on changes in the market situation. Those who want to be successful need relevant, up-to-date, and accurate information. Business or economic decisions rely on indicators. One facet of data quality is the integrity of data. Most of the main business and economic indicators suffer from statistical discrepancies. These indicat...