1. Introduction to Rankings and Decisions in Engineering -- 2. Ranking Aggregation Problem -- 3. Rankings and Measurements -- 4. Ranking Association Measures -- 5. Ranking Aggregation Techniques -- 6. Consistency of Ranking Aggregation Techniques -- 7. Case Studies in Engineering.

Introduction -- Principles and Background -- Discrete Facility Location Problems -- Decision Making under Uncertainty: Ingredients for Modeling -- Optimization under Uncertainty -- Modeling Paradigms and Solution Techniques -- Robust Facility Location -- Stochastic Facility Location -- Facility...

This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach....

Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion...

The theory of Markov Decision Processes - also known under several other names including sequential stochastic optimization, discrete-time stochastic control, and stochastic dynamic programming - studies sequential optimization of discrete time stochastic systems. Fundamentally, this is a...

Game Theory Models in Finance -- Game Theory Models in Accounting -- Game Theory Models in Operations Management and Information Systems -- Incentive Contracting and the Franchise Decision -- Cooperative Games and Business Strategy -- Renegotiation in the Repeated Amnesty Dilemma, with Economic...