Abstract-We analytically investigate coverage (determined by the uplink) under non-homogeneous and moving traffic load of third generation UMTS mobile networks. In particular, for different call assignment policies we investigate cell breathing and the movement of the coverage gap occurring between cells when a hot spot moves among the cells. These call assignment policies mainly differ in handling non feasible call configurations. To establish the maximally possible coverage, calls at the cell borders will be dropped such that the remaining carried calls establish their SIR target. By assigning calls to different base stations according to these policies, the coverage gap differs especially under moving non-homogeneous load.
Pandemi COVID-19 yang muncul pertama kali pada akhir tahun 2019 saat ini telah menyebar ke seluruh dunia dan mempengaruhi segala sendi kehidupan manusia. Di Indonesia, kasus ini mulai berkembang sejak akhir bulan Februari 2020 dan hingga saat ini masih terus terjadi peningkatan infeksi baru. Beberapa model dan prediksi kasus COVID-19 di Indonesia telah dilakukan oleh para peneliti, namun hasilnya belum sepenuhnya akurat. Hal ini kemungkinan disebabkan adanya pola yang berbeda-beda di setiap daerah, sehingga prediksi yang dilakukan di tingkat nasional perlu mengakomodir perbedaan pola tersebut. Pada artikel ini, akan diperkenalkan model matematika untuk melakukan prediksi awal kasus COVID-19 di wilayah Daerah Istimewa Yogyakarta. Pemodelan dilakukan berbasis model SIR yang parameter-parameternya diestimasi berdasarkan data. Dengan menggunakan model tersebut, akan dikaji dua skenario yang bersifat optimistik dan pesimistik.
In this research, the optimum decision of a multi-objective inventory game problem has been investigated under strategic complementarities in a multiplayer supply chain. The supply chain comprises a single retailer and multi-retailers under the synchronization process, the wholesale contract, and the buy-back contract policy. We apply some results in supermodular multi-objective game theory to solve these problems. The optimal decision for all players is formed in two equilibria, namely the Pareto equilibrium and the weighted Nash equilibrium. For numerical results, A genetic algorithm and dominance principle elements of the payoff matrix are used to obtain the weighted Nash equilibrium and the weighted Nash equilibrium, respectively. The analytical and numerical results using the supermodular multi-objective games concept can be significant results to solve the supply chain competition problems in the industrial engineering.
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