Daily Archives: August 1, 2024

Part Analytics Get PARTicular About Your Electronics-Enabled Supply Chain and Source Smarter with Deep ANALYTICS-based Insight

Over the past few years a few vendors have come out of the factories to support your direct-specific supply chain, but there’s still only a few that specialize in the Electronics Supply Chain (especially when you include deep sourcing [automation] support) and PartAnalytics is one that you may not have heard of, but definitely should know of given their ability to drastically reduce direct sourcing times for electronics components while reducing costs, lead-times, uncertainty, and compliance.

Part Analytics was founded in 2019 to increase open collaboration between Original Equipment Manufacturers (OEMs), Electronics Manufacturing Services (EMS), and suppliers, starting with a comprehensive, standardized source of information for direct components and materials used in electronics-based manufacturing. This would allow demand and supply information to be shared, costs and lead times to be better managed, and supply chain risks minimized. Founded by global sourcing professionals with expertise in electronic and electro-mechanical supply chains, they applied their deep knowledge of products and buying processes to build a solution that would not only simplify the sourcing process for components and bills of material, but also allow much of it to be automated.

The Part Analytics solution is split into four primary modules (which can be accompanied by a fifth that serves as a cross-platform executive dashboard):

  • Part IQ: Contains detailed part data for the electronic / electro-mechanical parts the organization sources
  • BOM IQ: Contains detailed information on BOMs used by the organization (for sourcing purposes)
  • Category IQ: Aggregates part information across BOMs to provide insights into demand, benchmarks, commodity, and supplier risk information and provide analytical insights to reduce spend, lead-time, and risk
  • RFQ IQ: deep RFQ functionality for sourcing (automation) on a Total Cost Basis (TCB) (with up to 97% manual time savings once an event has been setup)

In this article, we will look at each module individually, after noting that since Part Analytics is focused on the electronic and electro-mechanical supply chains, most of the sourcing projects (60% to 70%) revolve around PCBs (Printed Circuit Boards, not Polychlorinated Biphenyls) and related components. As a result, the focus of most of their customers is on part and material cost and lead-time optimization in those categories specifically, which is why their central focus in Part IQ is on those components.

Part IQ

Part IQ is the global supplier parts library that

  • represents the integrated catalog across all suppliers,
  • maintains the organization AVLs (Approved Vendor Lists)
  • maintains Part Analytics‘ and the customers’ internal PPE (Prescribed Parts Equivalent) lists
  • maintains part cost and risk details by part
  • makes global search by part and equivalent quick and easy

Part IQ contains a database of hundred of thousands of components from thousands of suppliers globally and provides real-time inventory availability monitoring from distributors and suppliers. It’s also capable of monitoring part availability and notifying the buyer as soon as a specific part becomes available anywhere in the network.

Deep detail is maintained on every single part and includes information such as manufacturer and part number, usage, prices, savings opportunities, and alternates. It also cross-references BoMs containing the part, known risks associated with the part, and Part Analytics.

This allows a design engineer to quickly gauge availability during R&D or build-to-order quoting, as well as sourcing professionals to quickly gauge immediate availability, lead times and expected pricing if they also have Category IQ (to be discussed later) as it can pull in trends and insights from the Category IQ module. If they integrate with their PLM, they can also see current inventory within the tool as well as pull in product forecasts to see if the available supply is likely to meet their demand.

It also helps R&D to ensure compliance with industry and market requirements as Part Analytics harmonizes all of the data and they can quickly tell not only if a product is compatible, but if it is compliant with certain regulations as detailed specifications with the required material composition will always be available in the drill down.

BOM IQ

Arguably the core of the suite, BOM IQ (or Bill of Materials IQ) stores all of the electronic / electro-mechanical bill of materials being sourced by the organization as well as associated forecasts/demands from the PLM solution (and can push updates on material availability, inventory, AVL, and approved PPEs into the ERP if desired).

At the BOM level, it provides an organization with insight into:

  • the overall health rating (based on compliance, material/product risk, product/part/line-item health)
  • the number of unique line items with lead time, lifecycle, single source, RoHS, or other supported compliance risk (if data feeds/subscriptions are available)
  • the current annual spend summary and projected spend summary
  • BOM cost trend over time
  • the total estimated savings available from based on alternates and negotiation

For every line item it also stores all of the relevant associated information including, but not limited to manufacturer, distributor, current costs, usages, risk/health rating, and information from past events. It’s very easy for a user to navigate around the BOM IQ product and see not only current prices and usage, but to drill into associated risks and compliance.

In a nutshell, the solution provides actionable data by leveraging technology to contextualize data from hundreds of sources including distributors and manufacturers.

Category IQ

Category IQ rolls up the line-item/part/component/material intelligence by category and allows an organization to get an overview of their spend, opportunity, and risk from various points of view such as commodity, supplier, business divisions and products. This allows the organization to get a comprehensive view of spend and savings potential from different viewpoints and make the best overall sourcing decisions for the organization.

More importantly, the organization can also see a roll-up of risks and non-compliance by category, which can be filtered to certain risk types to allow the organization to address the most critical risks first. Especially since it can roll up the number of units in a given life cycle state, being single sourced, etc. and drill in to parts coming from a specific region to allow an organization to quickly assess the potential impact of geographic/geopolitical events and disasters on the supply chain.

Once the buyer has a firm handle on her categories, she can proceed to sourcing in RFQ IQ.

RFQ IQ

With a strong understanding of her categories, a buyer can initiate sourcing projects using RFQ IQ. This module simplifies the sourcing process by allowing buyers to set up events with ease. Key elements include defining line-items or BOMs, approved vendors, questionnaires, and bid sheets with detailed cost breakdowns.

Upon receiving bids, buyers benefit from a comprehensive summary that highlights the total parts up for bid, the number of bids received, and potential new spend based on the lowest bids. This summary also offers insights into category spend by business unit.

The platform enables buyers to delve deeper into individual supplier bids, comparing spend differentials and assessing the impact of choosing specific bids. Buyers can utilize automated features to award the lowest bid by supplier on a part or BOM basis, or make manual adjustments to finalize awards. Notifications are then sent to suppliers, and the award details can be integrated into the ERP system to initiate the contracting and P2P process.

One of the standout benefits of RFQ IQ is the ability to automate much of the sourcing process. Once the master file is established, buyers can launch events by simply defining timelines. Automation can handle the process from initiation to award recommendation, significantly reducing manual effort. For example, one client saw a reduction in manual effort from 710 hours to just 10 hours, thanks to the module’s robust automation capabilities. While results may vary, most organizations experience efficiency gains of 30% to 60%, depending on their automation preferences. Additionally, the overall sourcing process time can be cut from months to mere weeks, providing substantial time savings.

Furthermore, since the demand can be defined by business unit, it allows their customers to maintain their decentralized structure (as the platform can support bids by business unit when each is in a different location and would dictate a different landed cost) while still supporting volume consolidation through a Centralized Center of Excellence (COE) for cost reduction and best practice sourcing. This also allows an organization to get a fully centralized view into their global supply base by category, BoM, and part; identify key areas of material/part/product-based risk that needs to be assessed; and harmonize costs and lead-times at the same time.

By giving buyers a global view, they can identify all FFF and F component alternatives, including those that are more readily available, higher in quality, and/or earlier in their life-cycle, allowing the organization to identify potential strategic OEMs and suppliers early. And for off-the-shelf, always having centralized insight into global supply across hundreds of distributors is extremely valuable when a disruption happens in your current supply chain.

Furthermore, the fact that Part Analytics is PLM (and not ERP) first means that buyers have a firm handle on not only what Manufacturing needs, but what R&D is working on and can ensure R&D is not designing for materials/parts that could be expensive or hard to get and/or maintain a stable supply of when there are more affordable, more available, or more reliable alternatives available.

Plus, if desired, part and BoM population can be done entirely from spreadsheets, allowing for an organization to get up and running quickly as a) most organizations without a system custom designed for electronics / electro-mechanical direct sourcing, even if they have a modern PLM (and/or ERP), maintain all their part and BOM info in spreadsheets. Not only does this allow Part Analytics to get an organization up and running quickly, but it also allows them to instill best practice as Part Analytics serves as the Parts Master and, once the PLM integration is completed, always keeps the BOM in synch, and the organization never has to worry if they are sending the sheet with the right version of the BOM (was that v.21 or v.23 we finally decided on) to a supplier for bidding.

Looking Ahead

Right now, it’s just cost trends over time for category intelligence, but by Q4 Part Analytics intends to release advanced commodity/sub-commodity insights around pricing trends, availability, and lead time using advanced analytic and forecasting algorithms and supply and demand signals in their Category IQ Module.

Also, as indicated above, future releases will support more data integrations for supplier (and not just material/component/part-level) risk analysis.

Summary

Part Analytics is a great solution to harmonize sourcing, inventory, and supply chain visibility in your electronics and electro-mechanical spend categories. Furthermore, it’s real-integration to hundreds of OEMs and distributors provide invaluable real-time insight into supply, demand, lead-time, and cost trends and benchmarks that can help organizations get a better handle on their overall sourcing efforts, especially if they primarily run as a decentralized operation across product lines / business units or geographies, especially since it can unite engineering and commodity sourcing teams on one coherent picture. It’s a great solution for part-based supply chain visibility, and for deeper insight into how to achieve this, you can download and checkout their handbook on supply chain visibility.