Now showing items 1-20 of 30

    • Age-based vs. stock level control policies for a perishable inventory system 

      Tekin, E.; Gürler Ü.; Berk, E. (2001)
      In this study, we investigate the impact of modified lotsize-reorder control policy for perishables which bases replenishment decisions on both the inventory level and the remaining lifetimes of items in stock. We derive ...
    • Analysis of reactive scheduling problems in a job shop environment 

      Sabuncuoğlu, İ.; Bayız, M. (Elsevier, 2000)
      In this paper, we study the reactive scheduling problems in a stochastic manufacturing environment. Specifically, we test the several scheduling policies under machine breakdowns in a classical job shop system. In addition, ...
    • Analytical loading models in flexible manufacturing systems 

      Kırkavak, N.; Dinçer, C. (Elsevier, 1993)
      It would be difficult to efficiently implement a manufacturing system without solving its design and operational problems. Based on this framework, a system configuration and tooling problem is modeled. The model turns out ...
    • Application placement with shared monitoring points in multi-purpose IoT wireless sensor networks 

      Çavdar, Mustafa Can; Korpeoglu, Ibrahim; Ulusoy, Özgür (Elsevier, 2022-11-09)
      The main function of a wireless sensor network (WSN) is to gather data from a certain region and transfer the data to a center or remote locations for further processing. The collected data can be of interest for many ...
    • An approach to manage connectionless services in connection-oriented networks 

      Abdelatı, Muhammed; Arıkan, Erdal (IEEE, 1996)
      In this work we propose a pricing scheme which serves as an instrument for managing connectionless services in connection-oriented communication networks. The scheme is able to allocate network bandwidth in a Pareto-optimal ...
    • Contextual multi-armed bandits with structured payoffs 

      Qureshi, Muhammad Anjum (Bilkent University, 2020-09)
      Multi-Armed Bandit (MAB) problems model sequential decision making under uncertainty. In traditional MAB, the learner selects an arm in each round, and then, observes a random reward from the arm’s unknown reward ...
    • Customer order scheduling problem: a comparative metaheuristics study 

      Hazır, Ö.; Günalay, Y.; Erel, E. (Springer, 2007)
      The customer order scheduling problem (COSP) is defined as to determine the sequence of tasks to satisfy the demand of customers who order several types of products produced on a single machine. A setup is required whenever ...
    • A data mining approach for location prediction in mobile environments 

      Yavaş G.; Katsaros, D.; Ulusoy, Özgür; Manolopoulos, Y. (Elsevier, 2005)
      Mobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this paper, we propose a new algorithm for predicting the next inter-cell movement ...
    • The discrete resource allocation problem in flow lines 

      Karabati, S.; Kouvelis, P.; Yu, G. (Institute for Operations Research and the Management Sciences (INFORMS), 1995)
      In this paper we address the discrete resource allocation problem in a deterministic flow line. We assume that the processing times are convex and noningcreasing in the amount of resources allocated to the machines. We ...
    • Energy efficient dynamic virtual machine allocation with cpu usage prediction in cloud datacenters 

      Urul, Gökalp (Bilkent University, 2018-01)
      With tremendous increase in Internet capacity and services, the demand for cloud computing has also grown enormously. This enormous demand for cloud based data storage and processing forces cloud providers to optimize ...
    • Fair resource allocation: Using welfare-based dominance constraints 

      Argyris, N.; Karsu, Özlem; Yavuz, Mirel (Elsevier, 2022-03-01)
      In this paper we consider the problem of supporting resource allocation decisions affecting multiple beneficiaries. Such problems inherently involve efficiency-fairness trade-offs. We introduce a new approach based on the ...
    • Fast learning for dynamic resource allocation in AI-Enabled radio networks 

      Qureshi, Muhammad Anjum; Tekin, Cem (IEEE, 2020)
      Artificial Intelligence (AI)-enabled radios are expected to enhance the spectral efficiency of 5th generation (5G) millimeter wave (mmWave) networks by learning to optimize network resources. However, allocating resources ...
    • Finding robustly fair solutions in resource allocation 

      Elver, İzzet Egemen (Bilkent University, 2022-07)
      In this study, we consider resource allocation problems where the decisions affect multiple beneficiaries and the decision maker aims to ensure that the effect is distributed to the beneficiaries in an equitable manner. ...
    • The general behavior of pull production systems: the allocation problems 

      Kırkavak, N.; Dinçer, C. (Elsevier, 1999)
      The design of tandem production systems has been well studied in the literature with the primary focus being on how to improve their e ciency. Considering the large costs associated, a slight improvement in e ciency can ...
    • Generic resource allocation metrics and methods for heterogeneous cloud infrastructures 

      Mergenci, Cem; Körpeoğlu, İbrahim (Elsevier, 2019)
      With the advent of cloud computing, computation has become a commodity used by customers to access computing resources with no up-front investment, but as an on-demand and pay-as-you-go basis. Cloud providers make their ...
    • Improving performance of sparse matrix dense matrix multiplication on large-scale parallel systems 

      Acer, S.; Selvitopi, O.; Aykanat, Cevdet (Elsevier BV, 2016)
      We propose a comprehensive and generic framework to minimize multiple and different volume-based communication cost metrics for sparse matrix dense matrix multiplication (SpMM). SpMM is an important kernel that finds ...
    • Investing in quality under autonomous and induced learning 

      Serel, D. A.; Dada, M.; Moskowitz, H.; Plante, R. D. (Taylor & Francis, 2003)
      The reduction of variability in product performance characteristics is an important focus of quality improvement programs. Learning is intrinsically linked to process improvement and can assume two forms: (i) autonomous ...
    • Marginal allocation algorithm for nonseparable functions 

      Yüceer, Ü. (Taylor & Francis, 1999)
      Marginal allocation algorithm is implemented to discrete allocation problems with nonseparable objective functions subject to a single linear constraint. A Lagrangian analysis shows that the algorithm generates a sequence ...
    • Network hub location problems: The state of the art 

      Alumur, S.; Kara, B. Y. (Elsevier, 2008)
      Hubs are special facilities that serve as switching, transshipment and sorting points in many-to-many distribution systems. The hub location problem is concerned with locating hub facilities and allocating demand nodes to ...
    • Online balancing two independent criteria 

      Tse, Savio S.H. (Springer, 2008-10)
      We study the online bicriteria load balancing problem in this paper. We choose a system of distributed homogeneous file servers located in a cluster as the scenario and propose two online approximate algorithms for balancing ...