Models and Methods for Management Science - Couverture rigide

Livre 289 sur 339: Management for Professionals
 
9789811916137: Models and Methods for Management Science

Synopsis

Chapter 1 System Science.- Chapter 2 Decision-Making Methods.- Chapter 3 Prediction Methods.- Chapter 4 Evaluation Methods.- Chapter 5 Optimization Algorithm.- Chapter 6 System Reliability.- Chapter 7 Game Theory.- Chapter 8 Management Simulation.- Chapter 9 Complexity Science.-Chapter 10 Structural Equation Modeling.- Chapter 11 Markov Chain.- Chapter 12 Grey Systems Theory.

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À propos de l?auteur

ZHANG Hao, Ph.D.; he is Professor, Deputy Director of the Humanities and Social Sciences Department of the Academy of Sciences, Doctoral Supervisor. He is Academic Leader of supply chain management in the School of E-commerce and Logistics of Beijing Technology and Business University (BTBU). He is the member and special research fellow of China Logistics Association, the senior member of Chinese Society of Optimization and Overall Planning Economical Mathematics, the winner of "youth top individual project" in Beijing and also enjoys membership both in Systems Engineering Society of China and in Operations Research Society of China. He participates in International E-Commerce Association (Chinese branch) as a councilor and takes part in China Food Safety Research Center of BTBU, Capital Flow Circulation Research Center and Enterprise Growth and Innovation Research Center as a committee member. His research interests include supply chain and logistics management, digital management, modeling and simulation of complex systems. He teaches courses of modeling of supply chain systems, simulation of management system, models and methods of management decision, project management and management economics in both undergraduate and postgraduate, MBA, MPACC and international MBA levels.

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Autres éditions populaires du même titre

9789811916168: Models and Methods for Management Science

Edition présentée

ISBN 10 :  9811916160 ISBN 13 :  9789811916168
Editeur : Springer, 2023
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