We present models used for supply chain design, optimization of the material flow within the supply chain, as well as models for optimizing different levels of the chain, such as cutting or processing. The models have been used as decision-support tools in the Norwegian meat industry and cover different aspects of the supply chain. 4 - Supply Chain Optimization in the Norwegian Meat Industry Peter Schütz, SINTEF Technology & Society, Applied Economics and Operations Researc, Trondheim, 7465, Norway, We discuss a set of mathematical programming models for supply chain optimization. Linear Programming can be used to perform optimized planning using the transactionevent model, without the use of an optimization programming language. Germantown Pike, Suite 230, Plymouth Meeting, PA, 19462, United States, WAM Systems’ Advanced Planning tool provides a general transaction-event model for bucketed supply-chain planning with data-cube like reporting. 3 - Supply Chain Optimization Using WAM Systems’ Advanced Planning Tool Frank Kampas, Senior Developer, WAM Systems, 600 W. Combined with physical constraints in the grid, the model gives fast and precise advice for a very complex planning problem in the NGbusiness. We address the special topic regarding the importance of modeling a strategy of never going short in contract obligations, combined with profit maximization and utilization of limited liquid markets and seasonal variations. Andersens veg 5, Trondheim, NO, 7465, Norway, Marte Fodstad SINTEF has developed a MIP-model for optimal sourcing of bilateral contracts for the European natural gas markets. 2 - Risk Aversion in NG-markets with Limited Spot Trade Options – The Suppliers Max-profit Model Frode Römo, Senior Scientist, SINTEF Applied Economics and Operations Research, S.P. A simulation study is performed to illustrate how the proposed models perform under different conditions. Two models are developed to coordinate inventory and transportation decisions while minimizing the total expected cost per unit time during this dispatching time. A central decision maker must decide which DC should replenish a retailer’s order and what should be shipment dispatching time. Tuesday, 8:00am - 9:30am ■ TA01 Supply Chain Optimization II Contributed Session Chair: Chase Rainwater, Industrial and Systems Engineering-University of Florida, 303 Weil Hall, Gainesville, 32611-6595, United States, 1 - Coordination of Inventory and Transportation Decisions via Shipment Consolidation Ismail Capar, Assistant Professor, Texas A&M University, TAMU 3367, College Station, TX, 77843, United States, Burak Eksioglu A two-stage supply chain with two distribution centers (DCs) and two retailers is analyzed.

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