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...

Multicriterion Decision in Management: Principles and Practice is the first multicriterion analysis book devoted exclusively to discrete multicriterion decision making. Typically, multicriterion analysis is used in two distinct frameworks: Firstly, there is multiple criteria linear programming,...

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...

Fair Assignment of Debt Cases to Legal Debt Collection Centers -- On the Principle of Lagrange in Optimization Theory and Its Application in Transportation and Location Problems -- Measuring Foreign Trade-Logistics Efficiency: A DEA Approach and the Malmquist Index -- Partially Non-discretionary...

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....