A discrete time quasi birth and death model of fixed cycle time policies for stochastic multi-item production inventory problem

Kocabıyıkoğlu, Ayşe


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In this research, a special form of Automated Guided Vehicle (AGV) routing problem is investigated. The objective is to find the shortest tour for a single, free-ranging AGV that has to carry out multiple pick and deliver (P&D) requests. This problem is an incidence of the asymmetric traveling salesman problem which is known to be NP-complete. An artificial neural network algorithm based on Kohonen's self-organizing feature maps is developed to solve the problem, and several improvements on the basic featur...
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The concept of partially observable Markov decision processes was born to handle the problem of lack of information about the state of a Markov decision process. If the state of the system is unknown to the decision maker then an obvious approach is to gather information that is helpful in selecting an action, This problem was already solved using the theory of Markov processes. We construct a nonlinear programming model for the same problem and develop a solution algorithm that turns out to be a policy ite...
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Eliciting the preferences of a Decision Maker (DM) is a challenging task in multi criteria-decision making problems. DM preferences can be represented in the form of weights for criteria. Direct elicitation methods can be cognitively difficult for the DM especially when a large number of weights with close values are available. Indirect methods are beneficial in this regard as they use decision alternatives rather than weights for elicitation. However, the accuracy of these approaches can vary depending on ...
Citation Formats
A. Kocabıyıkoğlu, “A discrete time quasi birth and death model of fixed cycle time policies for stochastic multi-item production inventory problem,” Middle East Technical University, 2000.