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OEM Supply Chain Management

Algoryx gets everyone on the same page, at the same time, looking at the same data and making the same data-based decisions.

Bridge Horizontal Gaps Between Engineering Disciplines

Gaps occur at the interfaces between engineering functional disciplines (so-called “silos”). Algoryx’s systems engineering approach helps bridge the horizontal gaps between design, metrology, tooling, process, quality and project engineers, wherever they are located in the internal or external supply chain.

Harmonize supply chain elements.

Bridge Vertical Gaps in the Supply Chain

Today’s internal and external molding supply chains can be stratified. Gaps inevitably occur between the moldmaker, molder, OEM development, OEM validation, OEM statistics and other vertical supply chain elements. These vertical gaps can result in lower part quality, schedule delays, cost overruns, excessive travel and a host of other problems. Algoryx uses analytical and simulation results based on actual part data to help close the vertical supply chain gaps.

Improve communication and coordination.

Bridge Geographic and Cultural Gaps

Different technical and operational standards, different cultural backgrounds, different attitudes towards risk, different languages and different time zones in different geographic regions all increase the difficulty of communication, coordination and control. Algoryx uses data-based decision-making to help bridge the geographic, cultural and language gaps.

Rank molds, moldmakers and processors.

Improve the OEM/Tier 1 Supply Chain

It is comparatively easy for OEMs and Tier 1s to rank their moldmakers on cost and schedule. It has, until now, been difficult for OEMs and Tier 1s to rank their moldmakers on the moldmakers technical ability to make molds that meet or exceed OEM Cpk requirements.

The dimensional performance of the mold is different at different press settings. Conflicting data can occur when the mold is run on the molder’s press instead of the moldmaker’s try-out press. Ranking the technical performance of the mold is also difficult when the mold is delivered to the molder in a “steel-safe” condition and then subsequently tuned by the OEM or a processor.

Algoryx solves these problems. Algoryx summarizes the capability of the mold to produce good parts in one number. That one number is Opk. Opk is a “condensation” of all part dimensional Cpks from all cavities into the one Opk for the Predictor Dimension. Algoryx’s Mold Characterization Study calculates the value of Opk for each mold. Minimum Opk values of 1.33 or 1.67 correspond to customer minimum Cpk requirements of 1.33 and 1.67.

Algoryx supplies the OEM and Tier 1 customer with the missing link:  How well does the mold perform? How good of a job did the moldmaker do? Can the mold make good parts? The OEMs and Tier 1s can now rank their moldmakers from technically-best to  technically-worst using Opk. Ranking moldmakers using Opk is a data-based, quantitative, reproducible method that enables OEMs and Tier 1s to make sound supply chain decisions.

This ranking enables the OEMs and Tier 1s to implement a moldmaker improvement program that includes the critical technical ranking in addition to cost and schedule performance. The typical OEM supplier improvement program drops the bottom 5-10% ranked suppliers and/or replaces them with new suppliers.

Once the OEM or Tier 1 knows the mold Opk, it then is possible to rank molders in the supply chain. Molded parts should, at a minimum equal the mold Opk. The OEM or Tier 1 can rank processors on quality using Algoryx the same way they rank moldmakers.

Take the Algoryx Challenge – See how you can improve your supply chain!