Textbook in PDF format The theory and practice of optimization as a tool for successful decision-making when designing new products and processes: While the focus is on the formulation of optimization problems, also attention is given to solution methods, software implementation, and analysis and interpretation of solutions. The book helps the chemical engineer in formulation, solving and analyzing different classes of optimization problems (LP’s, NLP’s MIP’s) at different scales (from individual equipment and product up to plant and supply chain). This book is an excellent guide and companion for undergraduate, graduate students as well as professional practitioners. Proper introduction to use of optimization software. Link to current developments in optimization (AI, Quantum computing). Refreshing balance between theory and practice. Rich in practical examples and exercises. Introduction to Process Optimization Mathematical Foundations for Optimization Formulating Optimization Problems Linear Programming (LP) Methods Nonlinear Programming (NLP) Integer and Mixed-Integer Programming Multi-objective Optimization Decision-Making Under Uncertainty Optimization in Current and Future Applications GAMS Tutorial