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Traditional system analysis and design approaches seem insufficient to model healthcare systems, given their complexity, the presence of uncertainty, and scale. To overcome these difficulties a System-of-Systems (SoS) approach is adopted. In this talk, a methodological framework for modeling healthcare systems and devising strategies that improve the health level of a population is presented. The problem is formulated as a nonlinear programming model in which the objective is to optimize the population’s health level, appropriately defined, taking into account several constraints. Specifically, given an amount of money to be allocated by a government, local or national, taking into account population growth and medical facilities’ constraints, an allocation strategy is devised to various levels of the healthcare system so that a proxy of life expectancy for a given population is maximized. The resulting policies could improve the sustainability of healthcare systems, and, consequently the well-being of people and the overall sustainability of corresponding countries.
主講人介紹：
Yannis A. Phillis 1973年在希臘雅典國家技術(shù)大學(xué)取得機電工程學(xué)士學(xué)位，并在1978年、1979年和1980年分別獲得美國加州大學(xué)洛杉磯分校碩士學(xué)位、工程師學(xué)位和博士學(xué)位。
Yannis A. Phillis教授1980年-1986年在美國波士頓大學(xué)工作，1986年起在希臘克里特工業(yè)大學(xué)工作，曾擔(dān)任12年校長職務(wù)，發(fā)表學(xué)術(shù)論文120余篇、4部專著，是美國科學(xué)促進會(AAAS)院士。
他的研究興趣集中在隨機控制、離散事件系統(tǒng)以及生產(chǎn)控制與環(huán)境系統(tǒng)中的應(yīng)用問題。
