The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
George Tagaras - One of the best experts on this subject based on the ideXlab platform.
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inventory control of spare parts using a Bayesian Approach a case study
European Journal of Operational Research, 2004Co-Authors: Kp Aronis, Ioulia Magou, Rommert Dekker, George TagarasAbstract:This paper presents a case study of applying a Bayesian Approach to forecast demand and subsequently determine the appropriate parameter S of an (S−1,S) inventory system for controlling spare parts of electronic equipment. First, the problem and the current policy are described. Then, the basic elements of the Bayesian Approach are introduced and the procedure for calculating the appropriate parameter S is illustrated. We apply the Bayesian Approach in an innovative way to specify the initial prior distributions of the failure rates of three types of circuit packs, using the initial estimates and the failure history of similar items. Based on these priors, we determine the distributions of demand for spare parts and finally we calculate the required stock levels for each type at several locations. According to the proposed method, a lower base stock than the one currently used is sufficient to achieve the desired service level.
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inventory control of spare parts using a Bayesian Approach a case study
Econometric Institute Research Papers, 1999Co-Authors: Kp Aronis, Ioulia Magou, Rommert Dekker, George TagarasAbstract:This paper presents a case study of applying a Bayesian Approach to forecast demand and subsequently determine the appropriate parameter S of an (S-1,S) inventory system for controlling spare parts of electronic equipment. First, the problem and the current policy are described. Then, the basic elements of the Bayesian Approach are introduced and the procedure for calculating the appropriate parameter S is illustrated. Finally, we present the results of applying the Bayesian Approach in an innovative way to determine the stock levels of three types of circuit packs at several locations. According to the proposed method, a lower base stock than the one currently used is sufficient to achieve the desired service level.
Wei Cui - One of the best experts on this subject based on the ideXlab platform.
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Real-time quantum state estimation in circuit QED via the Bayesian Approach
Physical Review A, 2018Co-Authors: Yang Yang, Beili Gong, Wei CuiAbstract:Using a circuit QED device, we present a theoretical study of real-time quantum state estimation via quantum Bayesian Approach. Suitable conditions under which the Bayesian Approach can accurately update the density matrix of the qubit are analyzed. We also consider the correlation between some basic and physically meaningful parameters of the circuit QED and the performance of the Bayesian Approach. Our results advance the understanding of quantum Bayesian Approach and pave the way to study quantum feedback control and adaptive control.
Kp Aronis - One of the best experts on this subject based on the ideXlab platform.
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inventory control of spare parts using a Bayesian Approach a case study
European Journal of Operational Research, 2004Co-Authors: Kp Aronis, Ioulia Magou, Rommert Dekker, George TagarasAbstract:This paper presents a case study of applying a Bayesian Approach to forecast demand and subsequently determine the appropriate parameter S of an (S−1,S) inventory system for controlling spare parts of electronic equipment. First, the problem and the current policy are described. Then, the basic elements of the Bayesian Approach are introduced and the procedure for calculating the appropriate parameter S is illustrated. We apply the Bayesian Approach in an innovative way to specify the initial prior distributions of the failure rates of three types of circuit packs, using the initial estimates and the failure history of similar items. Based on these priors, we determine the distributions of demand for spare parts and finally we calculate the required stock levels for each type at several locations. According to the proposed method, a lower base stock than the one currently used is sufficient to achieve the desired service level.
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inventory control of spare parts using a Bayesian Approach a case study
Econometric Institute Research Papers, 1999Co-Authors: Kp Aronis, Ioulia Magou, Rommert Dekker, George TagarasAbstract:This paper presents a case study of applying a Bayesian Approach to forecast demand and subsequently determine the appropriate parameter S of an (S-1,S) inventory system for controlling spare parts of electronic equipment. First, the problem and the current policy are described. Then, the basic elements of the Bayesian Approach are introduced and the procedure for calculating the appropriate parameter S is illustrated. Finally, we present the results of applying the Bayesian Approach in an innovative way to determine the stock levels of three types of circuit packs at several locations. According to the proposed method, a lower base stock than the one currently used is sufficient to achieve the desired service level.
Yang Yang - One of the best experts on this subject based on the ideXlab platform.
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Real-time quantum state estimation in circuit QED via the Bayesian Approach
Physical Review A, 2018Co-Authors: Yang Yang, Beili Gong, Wei CuiAbstract:Using a circuit QED device, we present a theoretical study of real-time quantum state estimation via quantum Bayesian Approach. Suitable conditions under which the Bayesian Approach can accurately update the density matrix of the qubit are analyzed. We also consider the correlation between some basic and physically meaningful parameters of the circuit QED and the performance of the Bayesian Approach. Our results advance the understanding of quantum Bayesian Approach and pave the way to study quantum feedback control and adaptive control.
Rommert Dekker - One of the best experts on this subject based on the ideXlab platform.
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inventory control of spare parts using a Bayesian Approach a case study
European Journal of Operational Research, 2004Co-Authors: Kp Aronis, Ioulia Magou, Rommert Dekker, George TagarasAbstract:This paper presents a case study of applying a Bayesian Approach to forecast demand and subsequently determine the appropriate parameter S of an (S−1,S) inventory system for controlling spare parts of electronic equipment. First, the problem and the current policy are described. Then, the basic elements of the Bayesian Approach are introduced and the procedure for calculating the appropriate parameter S is illustrated. We apply the Bayesian Approach in an innovative way to specify the initial prior distributions of the failure rates of three types of circuit packs, using the initial estimates and the failure history of similar items. Based on these priors, we determine the distributions of demand for spare parts and finally we calculate the required stock levels for each type at several locations. According to the proposed method, a lower base stock than the one currently used is sufficient to achieve the desired service level.
-
inventory control of spare parts using a Bayesian Approach a case study
Econometric Institute Research Papers, 1999Co-Authors: Kp Aronis, Ioulia Magou, Rommert Dekker, George TagarasAbstract:This paper presents a case study of applying a Bayesian Approach to forecast demand and subsequently determine the appropriate parameter S of an (S-1,S) inventory system for controlling spare parts of electronic equipment. First, the problem and the current policy are described. Then, the basic elements of the Bayesian Approach are introduced and the procedure for calculating the appropriate parameter S is illustrated. Finally, we present the results of applying the Bayesian Approach in an innovative way to determine the stock levels of three types of circuit packs at several locations. According to the proposed method, a lower base stock than the one currently used is sufficient to achieve the desired service level.
