In recent decades, millions of articles, books and journals have been written and thousands seminars and conferences have been held to present increasing importance of supply chain management both in practice and theory. Undoubtedly, nowadays, success is not tied-up just in processes of a focal company but in processes of all its value chain and network. In order to survive in highly competitive markets, it sounds essential that all processes and entities of the supply and demand network be analyzed and value-adding ones be separated from those which are not. One of the origins of non-value adding processes is non-value adding complexity. So, a systematic study and analysis of supply chain complexity and rendering remedies for simplicity are essential. In this thesis, at first, some definitions as well as causes of supply chain complexity based on its complication and complexity are mentioned. In the next step, embodiments of some themes of complexity science in discipline of supply chains are explained. Later, a recipe for studying complexity is offered. Ingredients of this recipe are identification, classification, measurement, modeling, and simplification. Finally, implementation of intelligent agents as assured tools for simplification of supply chains complexity is described.