Handling Complexity, Managing Variants, Increasing Speed COMPLEX WORLD – SIMPLE QUESTION The automotive industry is experiencing dramatic changes. Tectonic shifts of markets, tougher legislative requirements and highly varying consumer demands have created unprecedented challenges to automobile manufacturers. Serving new regions and covering every market niche has become a matter of survival. With this increasing number of variants and today’s complex powertrains, it is constantly becoming more difficult to meet the development targets of quality, cost and time. Looking at this challenge, powertrain engineers have to consider one key question: How can I find the ideal combination of tools, processes and methodologies that best support my development work? TOOL-UP FOR THE JOB The first step is to select the right tools for the individual development job: to employ software which helps to simulate and assess certain development alternatives early, instruments to measure more accurately what you need to understand better, and systems that automate testing tasks to speed up information gathering. AVL has these tools for you, readily available and carefully engineered to provide the basis of your seamless integrated and open development platform. Products like AVL CRUISE, AVL PUMA or our series of instrumentation devices are renowned for setting the industry standards. DOING THINGS RIGHT It is a standard approach to automate processes to improve productivity. Today’s sophisticated powertrains offer unseen degrees of freedom, making the testing work potentially grow exponetially. A linear approach, like plain automation, cannot cope with that. It is necessary to re-invent the process and introduce advanced LEVERS TO IMPROVE EFFECTIVENESS Examining the development task calibration, an AVL study on global test fields QUALITY, SPEED, ENGINEERING UTILIZATION : = 5 : 17 The top testfield is 5.3 times more utilized than the low performer. However, looking at the factors data quality, data gathering speed and results derived from this data, the best testfield is 17 times better than the worst one. Methodology has a decisive influence on development effectiveness. Optimized equipment utilization is just the start. A re-engineered testing approach enables break-through effectiveness. Source: AVL study / 10
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