Managing supply chain systems using effective planning and scheduling solutions is one of the most challenging issues faced by both supply chain practitioners and academic researchers. There are several business drivers across the supply chain. Integrating business processes to handle these drivers further complicates the problem. In recent years, advancements in information technology have allowed companies to use integrated decision strategies in their manufacturing and distribution operations to achieve reduced logistics costs and better customer service. Warehouse management systems (WMS) and transportation management systems (TMS) are now able to provide real-time inventory levels and transportation activities that can be incorporated with the production schedules to promote visibility throughout the entire supply chain. Traditionally, distribution and production decisions are made by different departments of a company or different parties in the supply chain to achieve their own goals. However, a trade-off exists between the costs and service levels of each supply chain stage associated with each party's objectives and issues. Generally, total cost will be higher when decisions are made independently as compared to coordinated decisions being made for the entire supply chain. As logistics costs can be quite significant relative to product total costs, improving supply chain processes may provide significant savings in the overall supply chain. The goals of my dissertation research can be summarized as follows: (1) to develop efficient optimization-based solution techniques for integrated production and distribution operations; (2) to provide insights into the impact of collaborative decision making; and (3) to further reveal important future research areas in supply chain scheduling. We study integrated production and distribution scheduling decisions in different supply chain configurations. Multiple products are procured, then manufactured and