Oracle In-Memory Logistics Command Center - White Paper

Disclaimer The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle's products remains at the sole discretion of Oracle. Supply chains and their associated logistics networks are becoming increasingly complex with companies facing business challenges such as globalization, omni-channel commerce, supply chain risk mitigation as well as mergers and acquisitions. Many companies have deployed primarily point-based solutions to solve specific operational issues, generating ever more data that proves increasingly difficult to effectively consolidate and analyze from an overall network perspective. In this environment, strategic and operational scenario management is now central to creating a robust, resilient and profitable logistics network. Unfortunately, the tools that are currently available that are designed to address this challenge often prove inadequate for the complexities involved. These tools typically utilize simplified models of the logistics network and operate on estimated aggregate costs using historical data. Not surprisingly, this type of analysis usually results in policies that do not translate effectively to real-world conditions and are often simply not implementable. Oracle's solution is different. Architected to take advantage of the extreme performance of Oracle Engineered Systems, Oracle In-Memory Logistics Command Center (LCC) takes a unique and innovative approach to strategic and operational scenario management. Leveraging the best-in-class logistics platform of Oracle Transportation Management, Oracle In-Memory Logistics Command Center determines optimal execution strategies by simulating actual logistics operations using detailed operational data, including network infrastructure, costs, contracts, service levels, capacities and constraints. This allows for an accurate representation of the results of each scenario and for a realistic analysis that yields implementable response policies. Oracle In-Memory Logistics Command Center allows customers to model multiple scenarios simultaneously and provides packaged analytics that capture and visualize key operational statistics in a rich analytics framework with side-by-side comparisons of the various scenarios. In this whitepaper, we provide an overview of Oracle In-Memory Logistics Command Center's capabilities and business value. 3 Introduction The need for logistics network scenario management is not new, but recent events have brought a stark and urgent focus on it. For example, supply chain resilience is a topic that has surged in importance given the multiple threats …