Supply chain network optimization initiatives provide the ability to determine the costs and benefits of adapting a company’s overall network in response to such changes.
While these adaptations are often focused on improving service levels and reducing working capital across the end-to-end distribution network, many companies fail to align their network optimization programs with long-term business strategies and implement them in isolation.
At GEP, we focus on developing dynamic supply chain network optimization capabilities that align the network to long-term business strategy and allow ongoing evaluation of assets as business and environmental conditions change.
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Supply chain network modeling by GEP can help you reduce global supply chain network complexities and improve responsiveness to customer needs by optimizing asset locations across the supply chain.
GEP’s supply chain design experts identify, prioritize and map the best solutions to enterprise priorities and supply chain competencies with a variety of techniques, including what-if scenarios and sensitivity analysis. And that’s every area of the supply chain network, including sourcing, transportation, inventory, warehousing and more.
At GEP, we measure our success the way you do ― savings realized, value created and delivered in hard currency. And that’s how we measure our impact on our client’s supply chain and distribution networks and their performance.
How much did you save? How much more were you able to accomplish? How did we help expand the business? How well are you able to respond to business and environmental conditions?
Fact is, GEP not only helps companies recognize opportunities for positive change, but also helps them achieve that change systematically, making their network operations more flexible, more efficient and more responsive to dynamic business scenarios, such as new product introductions, shifts in demand and consumption patterns, and changes in regulation. Our network optimization strategies are designed to make supply chains more resilient to address current changes and future uncertainties.
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