Kinaxis | Structuring the Outsourced Supply Chain Data Model

Increasing supply chain complexity (as a result of outsourced manufacturing operations) is driving the requirement for more complex supply chain planning data models. Learn about ten critical data issues that need to be considered when structuring a supply chain model for maximum utility. This paper covers capturing core data from partners, modeling contractual terms, and simulating supply alternative strategies.

Creating a robust data model that can best deliver a real time supply chain will drive superior operations performance and customer service. Is that not a strategic necessity in today's unforgiving business environment?

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Structuring the Outsourced Supply Chain Data Model: 10 Critical Data Issues to Consider

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About Kinaxis

Kinaxis delivers a cloud-based solution at the very heart of planning and response management for value chain operations. Large manufacturing companies with complex supply chain networks and volatile business environments rely on RapidResponse Control Tower for collaborative planning, continuous performance monitoring, and coordinated response to plan variances across multiple areas of the business. RapidResponse encompasses a full spectrum of supply chain related business processes, including such functions as: S&OP, supply and capacity planning, demand management, and supplier collaboration. As a result, Kinaxis customers have replaced disparate planning and performance management tools and are realizing significant operations performance breakthroughs. From a single product, customers are able to make both long-term and real-time demand and supply balancing decisions quickly, collaboratively, and in line with the shared business objectives of multiple stakeholders.