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Successful product development (PD) includes understanding and delighting customers, anticipating and avoiding failures, and delivering products efficiently. While Design for Six Sigma may be most naturally applied to avoid failures, it has been applied to all three of these areas with varying degrees of success. This paper discusses the advantages and disadvantages of using DFSS to bolster these key elements of PD. Example projects along with successes and shortcomings related to overall PD effectiveness are presented. Whatever form DFSS takes, organizations should make explicit the decision of how to deploy DFSS as part of an overarching quality plan.

Design for Six Sigma has been applied successfully in many industries, but industry differences present challenges that influence implementation. Implementers in the automotive industry face the challenge of integrating DFSS into mature and complex product development systems. This requires a clear definition of the DFSS role in an organization and clear guidelines for project scope. But effective definitions and guidelines will vary depending on an organization's place in the supply chain. In addition, varying levels of project scope present challenges in determining effective metrics. Organizations are best served by a flexible set of metrics that drive the right behavior at all organizational levels. Once roles and metrics are established, balancing DFSS with other ongoing programs becomes a challenge. Over time, the elements of DFSS should be integrated into a holistic system that produces high quality, market-winning products.

The paradigm for utilizing computer-aided engineering (CAE) to analyze automotive steering and suspension designs is rapidly changing. CAE's role has expanded beyond mere analysis to designing and improving product reliability and robustness. This paper presents an approach for avoiding the steering wheel nibble failure mode by improving robustness and therefore reliability through the use of CAE. For this paper, reliability is the ability of the system to avoid failure modes. A failure mode is any customer perceived deviation from ideal and avoiding failure modes naturally improves reliability. [1]

Vehicle to vehicle crash compatibility is becoming an increasingly more important consideration during vehicle safety development due to the increasing numbers of SUVs and pickups in the vehicle fleet. According to the Insurance Institute for Highway Safety (IIHS), their side impact crash test represents what happens when a passenger vehicle is struck by a pickup truck or SUV. The IIHS side impact test measures 37 different response criteria using an instrumented 5th percentile female SID-IIs ATD (anthropomorphic test device) in driver and left rear passenger seats. These measures are grouped into head and neck, torso, and pelvis and left leg regions. This paper will describe the development of transfer function equation models to assess the performance of design countermeasures by comparing the response measures of the torso region of the body.