Discrete and dynamic optimization is significantly important in theory and also has wide applications in operation management fields ranging from transportation programming, production planning, inventory control, layout design, revenue management, financial engineering, and supply chain management. The use of the theoretical mathematic tools to fit and solve the management problem has drawn growing attention from both academics and practitioners, and recent development in this area has led to a better understanding of the modern world that is more variant, dynamic, and unpredictable.

The aim of this special issue is to present the original research and review articles on the latest theoretical, numerical, and practical achievements that will contribute to the field of discrete and dynamic optimization, in all branches of management science. Potential topics include, but are not limited to:

• Discrete optimization such as combinatorial optimization and integer programming for routing, scheduling, and network design problems
• Dynamic programming for production planning, inventory control, human resource management, and revenue management
• Uncertainty/stochastic/robust programming for discrete or multiperiod problems
• Dynamic game for supply chain management and mechanism design
• Algorithms such as evolutionary algorithm for discrete/dynamic OM problems
• Online optimization of complex system

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ddns/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable: