Network and Inventory Optimization for More Efficient Supply Chains
Balance production and packaging capacity across the network,optimize safety stock levels to reduce wastage, and analyze scenarios to ensure sustainability in the face of natural disaster.
Nine Ways Food and Beverage Companies Can Use Supply Chain Design to Drive Competitive Advantage
From long-term, strategic decision-making to tactical production planning, supply chain modeling technology can enable food and beverage companies to reduce cost and risk and edge out the competition.
- Winning Through Better Supply Chain Design
- Using Supply Chain Modeling to Mitigate Risk in the Automotive…
- Three Elements of a Truly Effective Supply Chain Risk Management…
- Use Enterprise Simulation Planning to Predict Future Supply Chain…
- All Resources
LLamasoft, Inc. provides software and expertise to help large organizations design and improve their supply chain network operations. LLamasoft Supply Chain Guru is the leading supply chain design and analysis application available in the market today. It enables companies to model, optimize and simulate…
- Company Quicklook
In recent years a major Australian brewer has undergone tremendous change, acquiring additional breweries and brands, merging with a dairy foods producer and then being bought in turn by a multinational beverage company. At the same time they continued to launch new products and gained brewing and distribution rights to more imported brands. With this new increase in volume and change in product mix the company needed to analyze their network design to increase its efficiency.
Among the issues they wanted to explore was balancing and redistributing production and packaging capacity between existing breweries and evaluating the potential impacts to their network of extended periods of drought and extreme weather in Australia.
Working with LLamasoft’s Supply Chain Guru, the brewery’s dedicated solutions team was able to address both the Network Design and Optimization, and Risk Analysis and Contingency Planning issues. First a baseline model of the existing network was created and then optimized. With the baseline models in hand, the design team could examine multiple scenarios modeling a variety of risks. This process allowed them to understand the implications of shifting capacity from one facility to another, either partially or completely in the event of a plant closure. They were also able to analyze the network’s sensitivity to changes in fuel cost and the impacts of demand shifts and changes.
Armed with the results of the baseline optimization and the various contingency scenarios, the brewer was able to re-configure its production and distribution network to increase efficiency and improve service levels. Additionally they used Supply Chain Guru not just to shape and structure of their future network, but also to help them model variable lead times and demand curves. using these inventory models, the brewer to optimize safety stock levels, minimizing both out-of-stock situations and waste from aged product.