Part 1: The Digital Transformation Social Mindset -- Chapter 1: Introduction - Looking for a social soul to transform -- Chapter 2: An unpredictable era at the time of Covid-19 -- Chapter 3: The Digital Transformation Social Mindset -- Part II: The Four Paradigm Model -- Chapter 4: The Digital...

Part I: Reviews/Overviews -- 1. Operations Research and Management Science in Higher Education: An Overview -- 2. A Systematic and Updated Review of the Literature on Higher Education Marketing 2005 –2019 -- 3. Overview of Simulation in Higher Education: Methods and Applications -- 4. Managing...

Chapter 1: The Cobb-Douglas production function for an exponential model -- Chapter 2: Threshold Unit Root Tests with Smooth Transitions -- Chapter 3: Jump connectedness in the European foreign exchange market -- Chapter 4:Modeling Currency Exchange Data with Asymmetric Copula Functions --...

Chapter 1. Data Envelopment Analysis and Big Data: A Systematic Literature Review with Bibliometric Analysis -- Chapter 2. Acceleration of large-scale DEA computations using random forest classification -- Chapter 3. The estimation of productive efficiency through machine learning techniques:...

1. What is Optimal Control Theory? -- 2. The Maximum Principle: Continuous Time -- 3. The Maximum Principle: Mixed Inequality Constraints -- 4. The Maximum Principle: Pure State and Mixed Inequality Constraints -- 5. Applications to Finance -- 6. Applications to Production and Inventory -- 7....

Modeling Reverse Logistics Network for Post-Sale Service Under International Ecosystem -- Sustainable Parallel Machine Scheduling: Trade-Off Between Tardiness And Energy Consumption -- Modeling A Coordinated Supply Chain Under Service Level Constraint With Price-Sensitive Stochastic Demand And...

Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of...

This book analyzes the underlying theoretical principles of multi-objective linear programming problems with multi-choice parameters. It studies transportation problems on the same domain with extension to fuzzy stochastic criteria, and offers insights into sensitivity analysis through symmetric...

This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them...

This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics...