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.

• Chapter 1. Multi-objective Newsvendor Models with CVAR for Flowers Industry; Bartosz SawikChapter 2. Selected Multiple Criteria Supply Chain Optimization Problems; Bartosz SawikChapter 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 AnnaChapter 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 NydickChapter 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.

• Chapter 1. Multi-objective Newsvendor Models with CVAR for Flowers Industry; Bartosz SawikChapter 2. Selected Multiple Criteria Supply Chain Optimization Problems; Bartosz SawikChapter 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 AnnaChapter 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 NydickChapter 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.

• Chapter 1. Multi-objective Newsvendor Models with CVAR for Flowers Industry; Bartosz SawikChapter 2. Selected Multiple Criteria Supply Chain Optimization Problems; Bartosz SawikChapter 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 AnnaChapter 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 NydickChapter 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