Manufacturing: Manufacturing Solutions: Design for Supply

Endeca Design for Supply

Design Engineers' selection opportunities include many parts with the technical ability to meet defined needs - identifying the correct one is a larger challenge, and often one that is only arrived at through time consuming iterations between sourcing and engineering. Now with Endeca's DFS, the ability to align design engineering with corporate initiatives to reduce risk or cost - or to support enhanced quality or manufacturability efforts can be dynamically established and updated. This unique aggregation of part and supplier data, enabled with guided navigation and preferential part identification is a breakthrough solution that can bring dramatic advantages to your supply chain initiatives.

Principal features:

• Ability to integrate data across internal and external data sources
  Endeca Design for Supply leverages the most advanced information access technology platform, with the ability to aggregate structured and unstructured information from disparate data sources, classify, index and make available for unrestricted search and discovery.
• Guided Navigation to support part navigation
  The challenges of part sourcing are complicated by inefficient data source navigation, hampering part identification and leading to many non-productive searches. With Endeca DFS, part selection is accelerated through the use of guided navigation, enabling engineers to follow a clear path to all parts that meet identified criteria, eliminating dead-end searches.
• Preferential Part Identification
  Design Engineers can readily identify preferred part/supplier combinations for selection, without requiring additional data lookups or confirmations, and eliminating the iterative process of submitting selected parts lists to sourcing only to have them be returned for re-selection. This time and cost saving feature assures perfect alignment with corporate initiatives at all stages of the supply chain, and delivers a true, lasting competitive advantage in time to market.
• Dynamic Part Preference Update
  Preference information can be retained in a common database that can be updated within the sourcing organization. This ability to identify preferences at any frequency enables a virtual perfect alignment between sourcing and engineering, allowing for the right parts to be selected from the preferred suppliers, every time.

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