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Endüstri Mühendisliği Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/279

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Browsing Endüstri Mühendisliği Bölümü Yayın Koleksiyonu by Journal "Annals of Operations Research"

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    Article
    Citation Count: Topan, E., Avşar, Z.M. (2011). An approximation for kanban controlled assembly systems. Annals of Operations Research, 182(1), 133-162. http://dx.doi.org/10.1007/s10479-009-0560-1
    An approximation for kanban controlled assembly systems
    (Springer, 2011) Topan, Engin; Avşar, Zeynep Müge; 164129
    An approximation is proposed to evaluate the steady-state performance of kanban controlled two-stage assembly systems. The development of the approximation is as follows. The considered continuous-time Markov chain is aggregated keeping the model exact, and this aggregate model is approximated replacing some state-dependent transition rates with constant rates. The approximate aggregate model is, then, decomposed into submodels and a product-form steady-state distribution is obtained for each submodel. Finally, the submodels are combined in such a way that the size of the problem becomes independent of the number of kanbans. This leads to the computational advantage in solving the combined model using numerical matrix-geometric solution algorithms. Numerical comparisons of the combined model with simulation, exact model, approximate aggregate model and an approximation in the literature show that the proposed approximation performs well in terms of accuracy and computational burden
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    Article
    Citation Count: Silav, Ahmet; Karasakal, Esra; Karasakal, Orhan (2021). "Bi-objective dynamic weapon-target assignment problem with stability measure", Annals of Operations Research.
    Bi-objective dynamic weapon-target assignment problem with stability measure
    (2021) Silav, Ahmet; Karasakal, Esra; Karasakal, Orhan; 216553
    In this paper, we develop a new bi-objective model for dynamic weapon-target assignment problem. We consider that the initial weapon assignment plan of defense is disrupted during engagement because of a destroyed air target, breakdown of a weapon system or a new incoming air target. The objective functions are defined as the maximization of probability of no-leaker and the maximization of stability in engagement order of weapon systems. Stability is defined as assigning same air target in sequence in engagement order of a weapon system so that reacquisition and re-tracking of air target are not required by sensors. We propose a new solution procedure to generate updated assignment plans by maximizing efficiency of defense while maximizing stability through swapping weapon engagement orders. The proposed solution procedure generates non-dominated solutions from which defense can quickly choose the most-favored course of action. We solve a set of representative problems with different sizes and present computational results to evaluate effectiveness of the proposed approach.