1995 Toyota Supra on 2040-cars

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Honda, Hyundai top car residual value / depreciation awards list

J.D. Power announced its 2022 U.S. ALG Residual Value awards Thursday, with Honda and Hyundai topping the charts at three models apiece in the industry-standard study. The term "residual" is an industry projection of how well a car will hold its resale value three years from the original purchase date – a key metric in calculating lease costs and projecting new-car depreciation.  Award winners included several enthusiast-friendly options, including the BMW 2 Series, Dodge Charger, Subaru WRX, Mercedes-AMG GT and Toyota Tacoma. Even the Ford Bronco was recognized, beating out the Jeep Wrangler in the Off-Road Utility segment. That may seem odd given the car's issue-plagued launch, but scarcity apparently trumps quality control issues over the longer term. Here's a scrolling complete list of winners broken down by segment: “Accurately forecasting residual values in the auto industry is a key factor in assessing an estimated $225 billion lease portfolio of vehicles in the United States,” said ALG VP Eric Lyman in the company's announcement. "The brands and vehicle models that rise to the top demonstrate that they score well across the award programÂ’s criteria, including manufacturersÂ’ superior design and quality." ALG looks at several factors to determine future value, which is especially tricky with new models. For 2022, 16 different brands were recognized across 29 segments. Behind Honda and Hyundai, Audi, Kia, Mercedes-Benz, Land Rover and Subaru all managed to chart with two different models. Here's the rundown of those who won in more than one category: Honda Civic Honda Passport Honda Odyssey Hyundai Accent Hyundai Kona Hyundai Kona EV Audi A6 Allroad Audi Q3 Kia K5 Kia Telluride Land Rover Range Rover Velar Land Rover Discovery Mercedes-AMG GT 4-Door Mercedes-Benz Metris:  Subaru  WRX and  Subaru Forester Toyota Tacoma  Toyota Tundra "The award process consists of evaluating 284 models through analysis of used-vehicle performance, brand outlook and product competitiveness," the announcement said. "Eligibility for a brand award requires a manufacturer to have model entries in at least four different segments. To account for differences across trim levels, model averages are weighted based on percentage share relative to the entire model line."   Audi Honda Hyundai Kia Land Rover Mercedes-Benz Subaru Toyota

Toyota retires robots in favor of humans to improve automaking process

Mitsuru Kawai is overseeing a return to the old ways at Toyota factories throughout Japan. Having spent 50 years at the Japanese automaker, Kawai remembers when manual skills were prized at the company and "experienced masters used to be called gods, and they could make anything." Company CEO Akio Toyoda personally chose Kawai to develop programs to teach workers metalcraft such as how to forge a crankshaft from scratch, and 100 workstations that formerly housed machines have been set aside for human training.
The idea is that when employees personally understand the fabrication of components, they will understand how to make better machines. Said Kawai, "To be the master of the machine, you have to have the knowledge and the skills to teach the machine." Lessons learned by the newly skilled workers have led to shorter production lines - in one case, 96percent shorter - improved parts production and less scrap.
Taking time to give workers the knowledge to solve problems instead of merely having them "feed parts into a machine and call somebody for help when it breaks down," Kawai's initiative is akin to that of Toyota's Operations Management Consulting Division, where new managers are given a length of time to finish a project but not given any help - they have to learn on their own. It's not a step back from Toyota's quest to build more than ten million cars a year; it's an effort to make sure that this time they don't sacrifice quality while making the effort. Said Kawai, "We need to become more solid and get back to basics."

Hello, Siri? Please don't crash the car

Hands on the wheel and eyes on the road? You could still be distracted while driving. Voice-recognition software that many automakers tout as a safer alternative to handheld devices can still divert drivers' attention, a new study published by AAA found. Researchers noted that workload ratings were the highest on their scales when participants in the study used Siri. The technology is alluring because it allows drivers to do things like change the radio station or compose a text message without removing their hands from the wheel or their gaze from the road. But many of those tasks increase a driver's cognitive workload. Depending on the situation, that can be dangerous. "It's especially problematic, because you can be distracted and not know it," J. Peter Kissinger, president of the AAA Foundation for Traffic Safety, told Autoblog. "That's the nature of mental distraction. It's hard to appreciate. ... Often, you don't know you're distracted until it's too late." There's significant variation in the results of the study. Simple, single-task car commands for operations like changing the radio station caused minimal increases in workload, about the same as listening to an audio book. Composing information using speech-to-text technology was more burdensome, and using menu-based functions caused a high level of cognitive workload. Siri-based interactions posed the highest levels of distraction, according to AAA. Researchers noted that workload ratings were the highest on their scales when participants in the study used Siri, and two of the three simulator crashes they observed during the study of 36 participants came while the subjects were interacting with Siri. The subjects weren't looking at nor making contact with their iPhones during these interactions. "Common issues involved inconsistencies in which Siri would produce different responses to seemingly identical commands," the researchers wrote. "In other circumstances, Siri required exact phrases to accomplish specific tasks and subtle deviations from that phrasing would result in a failure. ... Some participants also reported frustration with Siri's occasional sarcasm and wit." It wasn't just the complexity of the task that caused variations in level of distraction – the variations could also be dependent on the particular make and model of the car being tested.