Now showing items 1-6 of 6

    • The benefits of state aggregation with extreme-point weighting for assemble-to-order systems 

      Nadar, E.; Akcay, A.; Akan, M.; Scheller Wolf, A. (Institute for Operations Research and the Management Sciences (INFORMS), 2018-07-24)
      We provide a new method for solving a very general model of an assemble-toorder system: multiple products, multiple components that may be demanded in different quantities by different products, batch production, random ...
    • Experimental Results Indicating Lattice-Dependent Policies May Be Optimal for General Assemble-To-Order Systems 

      Nadar, E.; Akan, M.; Scheller Wolf, A. (Wiley-Blackwell, 2016)
      We consider an assemble-to-order (ATO) system with multiple products, multiple components which may be demanded in different quantities by different products, possible batch ordering of components, random lead times, and ...
    • Gambler's ruin bandit problem 

      Akbarzadeh, Nima; Tekin, Cem (IEEE, 2017)
      In this paper, we propose a new multi-armed bandit problem called the Gambler's Ruin Bandit Problem (GRBP). In the GRBP, the learner proceeds in a sequence of rounds, where each round is a Markov Decision Process (MDP) ...
    • Optimal packet scheduling and rate control for video streaming 

      Gürses, E.; Bozdağı-Akar, G.; Akar, Nail (SPIE, 2007)
      In this paper, we propose a new low-complexity retransmission based optimal video streaming and rate adaptation algorithm. The proposed OSRC (Optimal packet Scheduling and Rate Control) algorithm provides average reward ...
    • Satisfying due-dates in a job shop with sequence-dependent family set-ups 

      Taner, M. R.; Hodgson, T. J.; King, R. E.; Thoney, K. A. (Taylor & Francis, 2003)
      This paper addresses job shop scheduling with sequence dependent family set-ups. Based on a simple, single-machine dynamic scheduling problem, state dependent scheduling rules for the single machine problem are developed ...
    • Technical note-optimal structural results for assemble-to-order generalized M-Systems 

      Nadar, E.; Akan, M.; Scheller-Wolf, A. (INFORMS Inst.for Operations Res.and the Management Sciences, 2014)
      We consider an assemble-to-order generalized M-system with multiple components and multiple products, batch ordering of components, random lead times, and lost sales. We model the system as an infinite-horizon Markov ...