Operations Research (eBook, PDF)
Evolving Frontiers and Diverse Applications
Redaktion: Purutçuoglu, Vilda; Farnoudkia, Hajar; Weber, Gerhard Wilhelm
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Operations Research (eBook, PDF)
Evolving Frontiers and Diverse Applications
Redaktion: Purutçuoglu, Vilda; Farnoudkia, Hajar; Weber, Gerhard Wilhelm
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It is divided in four parts - supply chain management, production planning and inventory management, signal processing and social sciences in such a way that researchers can follow up to date progress in the field while observing various applications with large datasets.
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It is divided in four parts - supply chain management, production planning and inventory management, signal processing and social sciences in such a way that researchers can follow up to date progress in the field while observing various applications with large datasets.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 342
- Erscheinungstermin: 13. Mai 2025
- Englisch
- ISBN-13: 9781040368411
- Artikelnr.: 73754729
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 342
- Erscheinungstermin: 13. Mai 2025
- Englisch
- ISBN-13: 9781040368411
- Artikelnr.: 73754729
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Vilda Purutçuo¿lu 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 Bäkent 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.
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.
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.
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.
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.