We propose a new inventory control technique for large-scale bidirectional (or closed-loop) supply chains including repairs. It is well-known that available optimization techniques are computationally intractable for ...
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We propose a new inventory control technique for large-scale bidirectional (or closed-loop) supply chains including repairs. It is well-known that available optimization techniques are computationally intractable for bidirectional stochastic supply chains and also necessitate several simplifying assumptions. In contrast, the proposed approach is an adaptive scheme which scales well to practically interesting large-scale multi-item supply chains. Furthermore, practical issues such as stochastic transport delays, manufacturing times, and repair times and probabilistic characterization of part repair success are handled in a unified framework. The control scheme is based on a hierarchical two-level architecture comprised of an adaptive set-point generator and a lower-level order-up-to policy. An application to aircraft supply chains involving multiple OEMs, depots, bases, squadrons, and planes is also investigated
This paper addresses the problem of stability for two-dimensional systems with delays in the state. To solve this problem, the Lyapunov second method is used. The resulting condition is written in terms of linear matr...
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This paper addresses the problem of stability for two-dimensional systems with delays in the state. To solve this problem, the Lyapunov second method is used. The resulting condition is written in terms of linear matrix inequalities and it is dependent on the size of delays. This fact allows us to reduce the conservatism in the stability analysis of two-dimensional systems with state delays. A simulation example is given to illustrate the theoretical developments
This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where ma...
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This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.
In this paper, a method of data pre-processing in grey information systems was proposed to deal with grey information. The binning technique was introduced to smooth noisy data used for grey relative analysis. It cons...
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In this paper, a method of data pre-processing in grey information systems was proposed to deal with grey information. The binning technique was introduced to smooth noisy data used for grey relative analysis. It constructed the function of grey relative coefficient for each null value and filled up the null value with the solution of the function. It also can be used to detect noisy data. This method is an application of grey system theory in data pre-processing. It has great significance in filling up null values and detecting noisy data in the "poor" information database
This paper analyses several extended rough set models in incomplete information systems and proposes a tolerance relation based model of processing grey incomplete information systems, which is an extension to rough s...
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This paper analyses several extended rough set models in incomplete information systems and proposes a tolerance relation based model of processing grey incomplete information systems, which is an extension to rough set models. The method of the model is: firstly partitioning the original incomplete information system by introduced threshold value, then establishing tolerance classes through grey tolerance relation and obtaining upper and lower approximations through these tolerance classes. Moreover, a method of whitening grey numbers based on grey tolerance relation is given. This paper shows that the model accords with practice according to examples and the algorithm of whitening grey numbers is also comparatively ideal. The more important point is that the subjective needs are considered during partitioning grey tolerance classes by introducing threshold value. So it is consistent with the system methodology of person-oriented person-to-machine communication
Intellectual capital and knowledge management literature is prolific relates to the importance of measuring intellectual capital but a few of the retrieved literature address the pragmatic application of these managem...
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Intellectual capital and knowledge management literature is prolific relates to the importance of measuring intellectual capital but a few of the retrieved literature address the pragmatic application of these management philosophies within companies in real world. This paper explains a proposed method to measuring intellectual capital as a main source of sustainable competitive advantages for most companies especially in service sectors. Based on our research in measurement phases managers should decide about choosing the most appropriate indicators. We use fuzzy-AHP method to find these indicators in Iran insurance industry. Although the application of such model in other industries and in other countries can be arguable, to measuring IC in each industry in each country the application of proposed method seems useful
There are problems controlling autonomous underwater vehicles (AUVs) because they are nonlinear and coupled and have external environmental disturbances acting on the vehicle. More difficulties arise when the vehicle ...
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There are problems controlling autonomous underwater vehicles (AUVs) because they are nonlinear and coupled and have external environmental disturbances acting on the vehicle. More difficulties arise when the vehicle tasks require precise positioning and control as in military missions. This paper presents an integrated guidance and control method for an AUV. The algorithm is based on an optimal control method called shrinking horizon model predictive control (SHMPC). Scenarios for reconnaissance and reacquisition in mine countermeasures missions are explored applying SHMPC. In addition, there are scenarios with obstacle avoidance. Simulations of this method show the control method is able to systematically handle disturbances and constraints to successfully maneuver through volatile areas
In this paper, we present a real-time stereo vision based pose and motion estimation system that will be used for landing an unmanned helicopter on a moving target such as a ship deck. The vision algorithm mainly cons...
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In this paper, we present a real-time stereo vision based pose and motion estimation system that will be used for landing an unmanned helicopter on a moving target such as a ship deck. The vision algorithm mainly consists of a feature extraction task and a pose and motion estimation task. The 2D planer target with regular features defined can significantly simplify the feature extraction task such as corner detection and feature points matching. To effectively estimate the distance between the camera carrier and target a stereo camera system is applied. By means of sub-pixel corner location the precisions of pose estimation and relative motion detection can be improved. We present results from semi-physical simulation which show that our vision algorithm is accurate and robust. The methodology provides an effective subsystem for the development of autonomous robot helicopter that will land on a given target under the guide of vision.
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