Browsing by Author "Tarim, S. Armagan"
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Article Citation Count: 7The benefit of receding horizon control: Near-optimal policies for stochastic inventory control(Pergamon-elsevier Science Ltd, 2020) Selçuk, Gözdem Dural; Rossi, Roberto; Kilic, Onur A.; Tarim, S. Armagan; Industrial EngineeringIn this paper we address the single-item, single-stocking point, non-stationary stochastic lot-sizing problem under backorder costs. It is well known that the (s, S) policy provides the optimal control for such inventory systems. However the computational difficulties and the nervousness inherent in (s, S) paved the way for the development of various near-optimal inventory control policies. We provide a systematic comparison of these policies and present their expected cost performances. We further show that when these policies are used in a receding horizon framework the cost performances improve considerably and differences among policies become insignificant. (C) 2019 Elsevier Ltd. All rights reserved.Article Citation Count: 3An integrated economy-demography model reframed in a system dynamics setting(Wiley, 2019) Selçuk, Gözdem Dural; Tunc, Huseyin; Tarim, S. Armagan; Industrial EngineeringIn recent history, there has been an increasing concern about population aging and the associated increased economic burden in terms of high health-care expenses and pension payments. The need for decision support tools that can explore population dynamics has become a prominent issue. This study presents a comprehensive framework where one can scrutinize the key demographic drives of fertility (Total Fertility Rate/Age-Specific Fertility Rate) over macroeconomic indicators (technology, education, human capital) under exogenous mortality. The integrated model in this article is developed based on a reformulation of the unified growth theory. In the reformulated model, namely the "economy-demography model," the population age/sex structure is preserved, age-specific mortality is included, and fertility is measured in conventional demographic terms. The model is then presented in system dynamics framework, and its practical use is showcased with data obtained from the Turkish Statistical Institute. Copyright (c) 2020 System Dynamics Society