Applications of management science /

Applications of management science /

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Volume 20 of Applications of Management Sciencefocuses on the application of management science methodologies, data envelopment analysis and multi-criteria decision making.

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Bibliographic Details
Other Authors: Lawrence, Kenneth D. (Editor), Pai, Dinesh R. (Editor)
Format: Electronic eBook
Language:English
Published: Bingley, U.K. : Emerald Publishing Limited, 2020.
Series:Applications of management science ; v. 20.
Subjects:
Management science.
Decision making > Mathematical models.
Operations research.
Online Access:CONNECT
Table of Contents:
  • Cover
  • APPLICATIONS OF MANAGEMENT SCIENCE
  • APPLICATIONS OF MANAGEMENT SCIENCE
  • APPLICATIONS OF MANAGEMENT SCIENCE
  • Copyright
  • CONTENTS
  • LIST OF CONTRIBUTORS
  • EDITORIAL BOARD
  • ABOUT THE CONTRIBUTORS
  • A Applications of Optimization
  • Multiobjective Newsvendor Models with CVaR FOR FLOWER INDUSTRY
  • Abstract
  • Introduction
  • Literature Review
  • Risk Measures in Newsvendor Problem
  • Mathematical Models
  • Classical MPNP Model
  • Variables
  • Input Parameters
  • Risk Aversion
  • VaR AND CVaR
  • Practical Examples
  • Flowers
  • Models
  • Results
  • Model 1
  • Model 2
  • Model 3
  • Comparison between Models
  • Cases 1.i and 2.i
  • Case 3
  • Scripts of Newsvendor Models
  • Conclusions
  • Acknowledgments
  • References and further reading
  • Selected Multiple Criteria Supply Chain Optimization Problems
  • Abstract
  • Introduction
  • Optimization Methods
  • Exact Methods
  • Approximate Methods
  • Data Envelopment Analysis
  • Mathematical Programming and Goal Programming
  • Analytic Hierarchy Process
  • Multiple Criteria Optimization
  • Multicriteria Decision-making Approaches for Supplier Selection
  • The Most Popular Evaluation Criteria
  • Risk Measures in Supply Chain
  • Mitigating the Impact of Disruptions in Supply Chain
  • Prevention Strategies
  • Response Strategies
  • Protection Strategies
  • Recovery Strategies
  • Managerial Insights
  • Practical Example
  • Problem Formulation
  • Sets and Parameters
  • Variables
  • Objective Function
  • Constraints
  • Order-to-Period Assignment Constraints
  • Producer Capacity
  • Supplier Selection Constraints
  • Risk Constraints
  • Case Study
  • Results
  • Conclusions
  • Acknowledgments
  • References and further reading
  • Evaluating Consumer Loans Using Machine Learning Techniques
  • Abstract
  • Introduction
  • Previous Studies
  • Data
  • Methodology
  • Models
  • Decision Trees
  • AdaBoost
  • Support Vector Machines
  • Empirical Analysis
  • Summary and Conclusions
  • References and further reading
  • Use of Maximal Covering Location Problem to Design a Closed Loop Supply Chain Network Under Product Substitution
  • Abstract
  • Introduction
  • Literature Review
  • Product Substitution
  • The Maximal Covering Location Problem
  • Linear Physical Programming
  • Problem Description and Assumptions
  • Problem Notation and Formulation
  • Numerical Example
  • Results
  • Conclusion

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