1st Edition

Operations Research Evolving Frontiers and Diverse Applications

342 Pages 10 Color & 43 B/W Illustrations
by CRC Press

342 Pages 10 Color & 43 B/W Illustrations
by CRC Press

Operational research (OR) methods are used in many fields of sciences like computer engineering, industrial engineering, social works, business management, medical studies and finance. This book, is the second book in the series of Operational Research (OR) books. It brings together the latest advances of these methods written by experts from all over the world. The book comprises 13 chapters and... Read more

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

Kutay Akdoğan, Eren Özceylan and Gerhard Wilhelm Weber

Introduction

Methodology

Descriptive and Bibliometric Analysis

Paper Evaluation and Presentation

Conclusion

References

2. Operational Optimization of Vectors for Logical Networks

Yavuz Can

Introduction

Mathematical Representation

Orthogonalization

Boolean Differential Calculus

Analytic Result and Discussion

Conclusion

References

3. Application of Various Modelling Techniques into Consumer Confidence Index

Betül Kalaycı, Vilda Purutçuoğlu, Gerhard Wilhelm Weber, Ömür Uğur and Özlem Defterli

Introduction to Consumer Confidence Index

Hidden Markov Model

Financial Volatility Models

Conclusion

References

PART II: OPERATION RESEARCH IN PRODUCTION PLANNING AND INVENTORY MANAGEMENT

4. Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making

Sourena Rahmani, Hamed Aghalar, Sahel Jebreili and Alireza Goli

Introduction

Optimization and Decision Making: A Brief Overview

Data-Driven Optimization: A Brief Overview

Optimization Algorithms in Intelligent Decision Making

Heuristic Algorithms

Integration of Optimization and Computing Approaches

Integrated Optimization and Computing Approaches Using Intelligent Data-Driven

Conclusion and Future Directions

References

5. Aggregate Production Planning: A Novel Game Model

Ali Hamidoğlu, Selma Gütmen and Gerhard-Wilhelm Weber

Introduction

Preliminaries and Statement of the Problem

A Novel Game Construction in APP Problems

Applications

Conclusion, Remarks and Future Works

References

6. Balancing Cooperation and Competition in Game Theory for Business

Jinal Parikh, Jacek Dominik Śledziński, Sırma Zeynep Alparslan Gök, İsmail Özcan and Gerhard-Wilhelm Weber

The Importance of Research on the Phenomena of Cooperation and Competition

Game Theory as a Tool

Specific Applications in Business

Conclusion

References

PART III: OPERATION RESEARCH IN SIGNAL PROCESSING

7. Pixel-based Snow Cover Classification over Complex Mountainous Regions by Random Forest Algorithm

Cansu Aksu, Semih Kuter and Zuhal Akyurek

Introduction

Dataset and Methodology

Results and Discussions

Conclusion

References

8. Construction of a Circular Graphical Network via an RNA-seq Data Set

Vilda Purutçuoğlu and Elif Doğan Dar

Introduction

Circadian Gene Networks

Circular Network Model and Inference

Application by Circadian Gene Interactions

Conclusion

References

9. Imputation of Missing Value in EMG Signaling Data

Fatemeh Sarasir and Vilda Purutçuoğlu

Introduction

Missingness Mechanism

Data Description

Methods

Accuracy Measures

Results

Conclusion

References

10. The Application of the R-Vine Copula and Different Regression Models in the Inference of Hodgkin-Huxley Data

Hajar Farnoudkia, Orhan Deniz Gencaga and Şengül Ayan

Introduction

HH Data

Methods

Application

Conclusions

References

PART IV: OPERATION RESEARCH IN SOCIAL SCIENCES

11. Who Trusts Which Type of Artificial Intelligence?

Ulrike Reisach

Introduction

The Methodological Implementation Process

The Structured Process During the First 30 Minutes

The Students’ Answers and Reflections during the Second 30 min

The Analysis of the Results

The Results and Analyses of the Masters-Students’ Anonymous Answers

ChatGPT gives Answers

Conclusion with Reflections, Benefits, and Potential Threats

Appendix*

References

12. A Comparison of Desirability Functions on a Multi-response Optimization Problem

Başak Akteke-Öztürk

Introduction

A Review of Desirability Desirability Functions

Numerical Example

Conclusion

References

13. Statistical Modeling of Social Data: A Case Study from TAYA 2016 Survey

Gizem Atar and Vilda Purutçuoğlu

Introduction

Dimension Reduction Methods

Models and Implementation

Spline-Based Methods

Machine Learning Methods

Comparison of Models

Conclusion

References

Index

Biography

Vilda Purutçuoğlu is professor in Statistics Department and chair of Biomedical Engineering Department at METU. She is associate editor of Biometrics (2020-24), editorial board member of BMC Bioinformatics since 2022, chair of award fund committee of IBS (2022-27) and academic advisor of Huawei, Turkey since 2023.

Gerhard Wilhelm Weber is professor in Marketing and Economic Engineering Department at Poznan University of Technology. He has affiliations in various universities like METU, University of Siegen, University of Aveiro, Chinese University of Hong Kong and Vidyasagar University.

Hajar Farnoudkia is assistant professor at Business Administration Department of Başkent University. Her bachelor and master of statistics are from Tabriz University and doctorate from METU. Her primary interests are in applied statistics and advanced machine learning methods.