Logistics Decision Modeling helps professionals and their organizations learn how to control risk and maximize the use of scarce organizational resources. Learners use modeling to analyze a variety of commercial inputs and understand the impact of different scenarios. They become skilled at using proven techniques and standard industry decision-support tools. Corporate decisions-making can be more methodical, and better informed.

Logistics Decision Modeling is recommended for anyone in a supply chain or logistics decision-making role who wants to have more credibility with senior management, or who wants to advance to an executive position within the industry.

Prerequisites: Transportation Systems and Logistics Processes
Recommended: Financial Management or equivalent

Logistics Decision Modeling helps professionals make better informed decisions, avoiding significant errors that can result in higher costs, delivery delays, and the loss of revenue and profit.

Course grads will be able to:

• Apply their knowledge of financial statements to quickly identify CVP (cost-volume-profit) relationships between fixed and variable costs. 
  
  
• Analyze their business, modeling and evaluating multiple “what if” scenarios on everything from inventory control, capital budgeting to CVP, using best practice techniques and built-in capabilities of Microsoft Excel. 
  
  
• Conduct multi-factor analyses through the evaluation of inputs from interrelated departments such as finance, marketing, production, transportation, inventory and quality control.
  
  
• Gain a deeper understanding of inventory control as a major corporate concern by learning how to determine the costs of holding inventory as well as the costs associated with stock outs, economic order quantity and safety stock.  
  
  
• Allocate scarce resources using repeatable decision-making processes that consider key factors such as people, money and equipment capacity while calculating the maximum inventory investment.