A lean kultúra értelmezése és mérése egy egészségügyi szolgáltatónál (The interpretation and measurement of the lean culture – in case of a healthcare service provider)

A lean menedzsment egészségügyi szolgáltatásokra való alkalmazásával elérhető eredmények egyre inkább nyilvánvalóvá válnak. Ennek köszönhetően a szektorban dinamikus növekedés tapasztalható ezen a téren. A kutatások azonban arra hívják fel a figyelmet, hogy a lean menedzsment alkalmazásával elért eredmények csak akkor lesznek fenntarthatóak, ha az eszközök alkalmazását a kultúra átalakulása is követi. A kultúra változásának követéséhez annak folyamatos értékelésére van szükség. A szervezeti kultúra lean-specifikus méréséhez azonban – a szerzők tudomása szerint – még nincs kidolgozott eszköz. Ezért cikkükben a kapcsolódó szakirodalom áttekintése után kidolgoztak egy lean kultúra kérdőívet, majd bemutatják a kérdőív tesztelését és annak eredményeit. Összegzésként elmondható, hogy az itt bemutatott kérdőív az első tesztelés alapján további fejlesztésre szorul. / === / The results that can be obtained by applying lean management in healthcare services become more and more clear. This generates a dynamic increase of lean applications in healthcare. However, researches are warning that the res ults obtained by lean applications can only be sustained, if next to the use of the lean tools cultural change will also take place. In order to track changes in culture its constant evaluation is necessary. According to the authors’ knowledge today does not exist any lean-specific culture evaluation tool. In this paper they elaborate a lean culture questionnaire based on the review of relevant literature. Than they describe its test and the results of the test. The authors conclude that the questionnaire as introduced here needs further improvement.

Improved stochastic optimization of railway timetables

We present a general model to find the best allocation of a limited amount of supplements (extra minutes added to a timetable in order to reduce delays) on a set of interfering railway lines. By the best allocation, we mean the solution under which the weighted sum of expected delays is minimal. Our aim is to finely adjust an already existing and well-functioning timetable. We model this inherently stochastic optimization problem by using two-stage recourse models from stochastic programming, building upon earlier research from the literature. We present an improved formulation, allowing for an efficient solution using a standard algorithm for recourse models. We show that our model may be solved using any of the following theoretical frameworks: linear programming, stochastic programming and convex non-linear programming, and present a comparison of these approaches based on a real-life case study. Finally, we introduce stochastic dependency into the model, and present a statistical technique to estimate the model parameters from empirical data.

An asymptotic test for the Conditional Value-at-Risk

Conditional Value-at-Risk (equivalent to the Expected Shortfall, Tail Value-at-Risk and Tail Conditional Expectation in the case of continuous probability distributions) is an increasingly popular risk measure in the fields of actuarial science, banking and finance, and arguably a more suitable alternative to the currently widespread Value-at-Risk. In my paper, I present a brief literature survey, and propose a statistical test of the location of the CVaR, which may be applied by practising actuaries to test whether CVaR-based capital levels are in line with observed data. Finally, I conclude with numerical experiments and some questions for future research.