Recently, revenue management has become popular in many industries such as the airline, the supply chain, and the transportation industry. Decision makers realize that even small improvements in their operations can have a significant impact on their profits. Nevertheless, determining pricing and inventory optimal policies in more realistic settings may not be a tractable task. Ignoring the potential inaccuracy of parameters may lead to a solution that actually performs poorly, or even that violates some constraints. Finally, competitors impact a supplier's best strategy by influencing her demand, revenues, and field of possible actions. Taking a game theoretic approach and determining the equilibrium of the system can help understand its state in the long run. This book presents a continuous time optimal control model for studying a dynamic pricing and inventory control problem in a make-to-stock multi-product capacitated manufacturing system, in the presence of data uncertainty, and in a duopoly setting. The book is addressed to professionals in the Revenue Management and Pricing industry and researchers in Operations Research, Operations Management, and Industrial Engineering.