The Experts below are selected from a list of 3690 Experts worldwide ranked by ideXlab platform

Ronald H Ballou - One of the best experts on this subject based on the ideXlab platform.

  • business logistics supply chain management planning organizing and controlling the supply chain
    Published in 2004 in Upper Saddle River NJ) by Pearson education, 2004
    Co-Authors: Ronald H Ballou
    Abstract:

    I. INTRODUCTION AND PLANNING. 1. Business Logistics/Supply Chain-A Vital Subject. 2. Logistics Strategy/Supply Chain and Planning. II. CUSTOMER SERVICE GOALS. 3. The Logistics/Supply Chain Product. 4. Logistics/Supply Chain Customer Service. 5. Order Processing and Information Systems. III. TRANSPORT STRATEGY. 6. Transport Fundamentals. 7. Transport Decisions. IV. INVENTORY STRATEGY. 8. Forecasting Supply Chain Requirements. 9. Inventory Policy Decisions. 10. Purchasing and Supply Scheduling Decisions. 11. The Storage and Handling System. 12. Storage and Handling Decisions. V. LOCATION STRATEGY. 13. Facility Location. 14. The Network Planning Process. VI. ORGANIZATION AND CONTROL. 15. Logistics/Supply Chain Organization. 16. Logistics/Supply Chain Control. Selected Bibliography. Appendix A. Areas Under the Standardized Normal Distribution. Appendix B. Unit Normal Loss Integrals.

  • business logistics management
    1991
    Co-Authors: Ronald H Ballou
    Abstract:

    I. INTRODUCTION AND STRATEGY OVERVIEW. 1. Business Logistics - A Vital Subject. 2. Logistics Strategy and Planning. II. INITIALIZING THE LOGISTICS PLAN. 3. Defining the Logistics Product. 4. Logistics Customer Service. 5. Forecasting Logistics Requirements. III. LOGISTICS SYSTEM FUNDAMENTALS. 6. Order Processing and the Information System. 7. The Transportation System - Facilities and Services. 8. The Transportation System - Rates. 9. The Storage and Handling System. IV. CONFIGURING THE NETWORK. 10. The Logistics Planning Process. 11. Facility Location Decisions. V. PLANNING LOGISTICS ACTIVITIES. 12. Inventory Policy Decisions. 13. Transportation and Order Processing Decisions. 14. Purchasing and Production Scheduling Decisions. 15. Storage and Handling Decisions. VI. ORGANIZATION AND CONTROL. 16. Logistics Organization. 17. Logistics Audit and Control. Selected Bibliography. APPENDICES. A. Areas Under the Standardized Normal Distribution. B. Unit Normal Loss Integrals.

Štarmanová Petra - One of the best experts on this subject based on the ideXlab platform.

  • Sample Quantiles of Discrete Distributions
    2018
    Co-Authors: Štarmanová Petra
    Abstract:

    Sample quantiles for discrete Distributions The classical definition of sample quantiles and their asymptotic properties for absolutely continuous Distributions are well known. This no longer applies to discrete Distributions. This thesis deals with implementing new quantiles based on the mid-Distribution function, and their properties. The theoretical part shows the asymtotic properties of sample quantiles based on the mid-Distribution function for both discrete and absolutely continuous Distributions. In the absolutely continuous case it shows that the results are the same as those for the classical sample quantiles. In the discrete case the asymptotic Distribution is Normal. The practical part includes the exact Distribution of these new sample quantiles for the binomial Distribution. This thesis also includes a small simulation study for the Standardized Normal Distribution and binomial Distribution

Chunxi Yang - One of the best experts on this subject based on the ideXlab platform.

  • event based h_ infty fault detection for buck converter with multiplicative noises over network
    IEEE Transactions on Circuits and Systems I-regular Papers, 2019
    Co-Authors: Huaicheng Yan, Hao Zhang, Xisheng Zhan, Chunxi Yang
    Abstract:

    This paper deals with the $H_{\infty }$ fault detection (FD) problem for a class of buck converter with the transmission-induced multiplicative noises and the event-triggered scheme under the network environment. The model of buck converter is approximated by a nonlinear model, and it is further analyzed based on the electricity knowledge. Due to the dynamic characteristics of network transmission, multiplicative noises need to be considered, which are described as a product of some uncorrelated Standardized Normal Distribution and the transmitted signal. Meanwhile, an event-triggered mechanism is utilized for the purpose of reducing the energy consumption, and an FD observer is designed to detect the fault presented in buck converter. Some novel sufficient conditions are given in terms of linear matrix inequalities to guarantee the robust stability of the FD system, and the $H_{\infty }$ optimal fault tracking performance index is also achieved. Finally, an illustrative example is provided to show the validity and merit of the proposed method.

Huaicheng Yan - One of the best experts on this subject based on the ideXlab platform.

  • event based h_ infty fault detection for buck converter with multiplicative noises over network
    IEEE Transactions on Circuits and Systems I-regular Papers, 2019
    Co-Authors: Huaicheng Yan, Hao Zhang, Xisheng Zhan, Chunxi Yang
    Abstract:

    This paper deals with the $H_{\infty }$ fault detection (FD) problem for a class of buck converter with the transmission-induced multiplicative noises and the event-triggered scheme under the network environment. The model of buck converter is approximated by a nonlinear model, and it is further analyzed based on the electricity knowledge. Due to the dynamic characteristics of network transmission, multiplicative noises need to be considered, which are described as a product of some uncorrelated Standardized Normal Distribution and the transmitted signal. Meanwhile, an event-triggered mechanism is utilized for the purpose of reducing the energy consumption, and an FD observer is designed to detect the fault presented in buck converter. Some novel sufficient conditions are given in terms of linear matrix inequalities to guarantee the robust stability of the FD system, and the $H_{\infty }$ optimal fault tracking performance index is also achieved. Finally, an illustrative example is provided to show the validity and merit of the proposed method.

Hao Zhang - One of the best experts on this subject based on the ideXlab platform.

  • event based h_ infty fault detection for buck converter with multiplicative noises over network
    IEEE Transactions on Circuits and Systems I-regular Papers, 2019
    Co-Authors: Huaicheng Yan, Hao Zhang, Xisheng Zhan, Chunxi Yang
    Abstract:

    This paper deals with the $H_{\infty }$ fault detection (FD) problem for a class of buck converter with the transmission-induced multiplicative noises and the event-triggered scheme under the network environment. The model of buck converter is approximated by a nonlinear model, and it is further analyzed based on the electricity knowledge. Due to the dynamic characteristics of network transmission, multiplicative noises need to be considered, which are described as a product of some uncorrelated Standardized Normal Distribution and the transmitted signal. Meanwhile, an event-triggered mechanism is utilized for the purpose of reducing the energy consumption, and an FD observer is designed to detect the fault presented in buck converter. Some novel sufficient conditions are given in terms of linear matrix inequalities to guarantee the robust stability of the FD system, and the $H_{\infty }$ optimal fault tracking performance index is also achieved. Finally, an illustrative example is provided to show the validity and merit of the proposed method.