Operations Research

Preface. PART I: OPERATION RESEARCH IN SUPPLY CHAIN MANAGEMENT. 1. A Bibliometric and Descriptive Review of Mathematical Models for Vulnerable and Resilient Supply Chain Management. 2. Operational Optimization of Vectors for Logical Networks. 3. Application of Various Modelling Techniques into Consumer Confidence Index. PART II: OPERATION RESEARCH IN PRODUCTION PLANNING AND INVENTORY MANAGEMENT. 4. Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making. 5. Aggregate Production Planning: A Novel Game Model. 6. Balancing Cooperation and Competition in Game Theory for Business. PART III: OPERATION RESEARCH IN SIGNAL PROCESSING. 7. Pixel-based Snow Cover Classification over Complex Mountainous Regions by Random Forest Algorithm. 8. Construction of a Circular Graphical Network via an RNA-seq Data Set. 9. Imputation of Missing Value in EMG Signaling Data. 10. The Application of the R-Vine Copula and Different Regression Models in the Inference of Hodgkin-Huxley Data. PART IV: OPERATION RESEARCH IN SOCIAL SCIENCES. 11. Who Trusts Which Type of Artificial Intelligence? 12. A Comparison of Desirability Functions on a Multi-response Optimization Problem. 13. Statistical Modeling of Social Data: A Case Study from TAYA 2016 Survey. Index.