An ambitious project
In the dynamic and diverse landscape of the beverage industry, a company like Heineken faces a myriad of challenges in managing the production costs and performance of its extensive portfolio of products across numerous breweries. With a vast array of different beer recipes, production processes, associated costs, and intricate supply chain indicators, gaining comprehensive insight becomes paramount for sustainable success.
Understanding and optimizing production costs are crucial factors that directly impact the competitiveness of Heineken’s diverse product range. The company must navigate the complexities of brewing various beer types, each with its unique set of ingredients, manufacturing processes, and associated expenses. Having a comprehensive view of these production costs enables Heineken to make informed decisions, identify cost-saving opportunities, and maintain competitiveness in a dynamic market.
Furthermore, the ability to monitor and model the entire production and distribution network is equally crucial. Given the diverse range of products, regional preferences, and fluctuating market demands, having a robust modeling capability allows Heineken to adapt swiftly to changes. It aids in optimizing production schedules, managing inventory efficiently, and ensuring timely and cost-effective distribution to meet consumer demands.
In essence, for a company as expansive and diverse as Heineken, having profound insights into production costs and a sophisticated capability to model their production and distribution network is not just a strategic advantage but a necessity. It empowers the company to stay agile, competitive, and responsive in a rapidly evolving industry, ultimately contributing to the continued success and resilience of the Heineken brand.
This project combined a number of topics in the field of network design. Together with the development team from Heineken we developed an optimization model on SKU level that was capable of answering both tactical and strategic supply chain design questions. By using the existing optimizaton software tools in an innovative manner, a detailed strategic platform has been developed.
In this project we used a set of supply chain network models to simulate the different scenario’s and simulate the performance and lead-times: Supply Chain Guru, Simulation module of our Spanning Tree platform, Multi-echelon inventory optimization and costs database.
Project partners:
How can we help you?
We specialize in guiding organizations with the transition to digital supply chain management. Our expertise lies in leveraging advanced analytics tools to streamline operations, enhance visibility, and optimize supply chain performance. If you want to know more what we can do for you please let us know.
