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Full Description
Applications of Management Science presents current studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids in the dissemination of the solution of managerial decision-making problems with management science methodologies.
With a focus on the application of management science methodologies data envelopment analysis and multi-criteria decision making, this volume is split into three sections:
1. Applications of optimization;
2. Data envelopment analysis and applications;
3. Data envelopment analysis.
To those involved in the applications of multi-criteria decision making, data envelopment analysis and decision making, in a realistic managerial problem solving environment through the use of state of the art management science modelling, this is a must-read.
Contents
Chapter 1. Multi-objective Newsvendor Models with CVAR for Flowers Industry; Bartosz SawikChapter 2. Selected Multiple Criteria Supply Chain Optimization Problems; Bartosz Sawik
Chapter 3. Evaluating Consumer Loans Using Machine Learning Techniques; D. K. Malhotra, Kunal Malhotra and Rashmi Malhotra
Chapter 4. Use of Maximal Covering Location Problem to Design Closed Loop Supply Chain Network under Product Substitution; Murtadha Aldoukhi and Surrendra Gupta
Chapter 5. Territorial Branding as an Instrument for Competitiveness of Rural Development; Karachyna Nataliia, Vakar Tetiana, Moroz Yevheniia, Semtsov Volodymyr and Vitiuk Anna
Chapter 6. Developing Composite Indices for Assessing Vulnerability to Floods Due to Climate Change: Applying the Ordered Rated Effectiveness (ORE) Modeling Method; Ronald Klimberg and Samuel Ratick
Chapter 7. A Comparative Analysis of Public and Private Universities in the United States Using Data Envelopment Analysis Models; Rashmi Malhotra, D. K. Malholtra and Robert Nydick
Chapter 8. Productivity in the U.S. Consumer Drug Store Business; Kenneth D. Lawrence, Sheila M. Lawrence, Stephan P. Kudbya and Dinesh R. Pai
Chapter 9. Decision Making and Productivity Measurement; Dariush Khezrimotlagh
Chapter 10. How to Deal with the Number of Decision Making Units and Number of Variables in Multiple Input-Output Production Functions; Dariush Khezrimotlagh
Chapter 11. Evaluating Effective Performance Using Ordered Weighted Averaging (OWA) and Data Envelopment Analysis (DEA) Optimization; Ronald Klimberg and Samuel Ratick
