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Applications of Management Science
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Applications of Management Science

Kenneth D. Lawrence|Dinesh R. Pai
Emerald
Emerald

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Hardback
9781838670016
11 September 2020
£89.99
eBook (PDF)
9781838670009
11 September 2020
£89.99
eBook (ePub)
9781838670023
11 September 2020
£89.99

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  • Description
  • Contents
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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.

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

    Dr. Kenneth D. Lawrence is a Professor of Management Science and Business Analytics at the Tuchman School of Management at the New Jersey Institute of Technology. His research centers on forecasting, multi-criteria decision making, data development analysis and data mining.

    Dr. Dinesh R. Pai is an Associate Professor of Supply Chain Management in the School of Business Administration, Penn State Harrisburg. His research interests are in the areas of supply chain management business analytics, and performance evaluation.