Models and Methods for Management Science

This textbook introduces systems science as an entry point to present a basic introduction to research models and methods in management science (operation research). This textbook selects the classic quantitative models and methods as well as rich cases and detailed examples, which are suitable for students with a certain management and economics knowledge for further study, and helps to develop the abilities of using the basic models in real life.

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.

Contenu
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.