Prediction Ten of our 2015 Predictions for Industry and Global Supply Chains declares that service focused supply chains will garner increased attention and new investment interest. We noted two prime motivations, protecting the brand especially in the light of continuing massive amounts of product recall activity as well as taking advantage of the new opportunities brought forward with connected devices.
This week, in conjunction with the annual North American International Auto Show being held in Detroit, The Wall Street Journal featured an article, Massive Recalls Force Part Makers to Track Defects (Paid subscription of free metered view). The article observes that auto parts makers such as air bag inflator supplier Daicel are investing millions of dollars to improve tracing and lot identifiers of component parts. There are mentions of parts suppliers Aisin Selkl, and Jtekt Corp. significantly investing in parts traceability. Observed is while automotive OEM’s and their associated brands take the bulk of the consumer and regulatory heat around product recalls, quality defects more often reside within parts suppliers. OEM’s are now influencing parts suppliers to amp-up quality measures including easier means to identify production lots and trace parts history. The CEO of NHK Spring, who is also the chairmen of Japan Auto Parts Industries Association is quoted: “Now that supplier names are being mentioned widely, the range of responsibilities that we face is expanding. Not only do we need to face auto makers but also consumers.” In other words, brand risk has taken on new dimensions in the lower tier of automotive supply chains.
It struck us that such efforts focused on supply practices need to be further complimented by increased capabilities by OEM’s to analyze such quality tracking and tracing data at a far more timely pace. Providing more prescriptive tagging to such data is a further consideration.
The takeaway is that indeed, service supply chains are indeed ripe for investment, but require coordinated efforts to leverage input, output and prescriptive information insights that insure more timely identification and response to parts quality or design defects.