A practical reference on quality-control: what it is, how it behaves, what the literature reports, and where the honest uncertainties sit.
Reviewed 2025-08-15. Anything still debated is marked as such rather than presented as settled.
Other automotive engineers include those listed below: Aerodynamics engineers will often give guidance to the styling studio so that the shapes they design are aerodynamic, as well as attractive. Body engineers will also let the studio know if it is feasible to make the panels for their designs. Change control engineers make sure that all of the design and manufacturing changes that occur are organized, managed and implemented... NVH engineers perform sound and vibration testing to prevent loud cabin noises, detectable vibrations, and/or improve the sound quality while the vehicle is on the road.
"A/B testing" is a shorthand for a simple randomized controlled experiment, in which a number of samples (e.g. A and B) of a single vector-variable are compared. A/B tests are widely considered the simplest form of controlled experiment, especially when they only involve two variants. However, by adding more variants to the test, its complexity grows. The following example illustrates an A/B test with a single variable: A company has a customer database of 2,000 people and launches an email campaign with a discount code in order to generate sales through its website. The company creates two versions of the email with different calls to action (the part of the copy that encourages customers to act—in the case of a sales campaign, make a purchase) and identifying promotional codes.
April III was defensive quality control coach for the Philadelphia Eagles from 2011 to 2012. In 2013, April III moved to the New York Jets as defensive quality control coach and assistant linebacker coach. In 2014, he was promoted to linebackers coach with the Jets. In 2015, April III moved with Rex Ryan from the Jets to the Buffalo Bills and continued to serve as linebackers coach through 2016. On February 1, 2026, April III returned to the Buffalo Bills as the team's new outside linebackers coach, under head coach Joe Brady. April III had accepted a position to be the defensive ends coach with Minnesota in the college ranks only a month earlier. April earned his bachelor's degree in sports management from Louisiana-Lafayette. He is the son of Bobby April Jr., a former NFL and college special teams coordinator. Buffalo Bills profile Wisconsin profile
AS9000 (1997) Aerospace Basic Quality System Standard As aerospace suppliers soon found that ISO 9001 (1994) did not address the specific requirements of their customers, including the DoD, NASA, FAA, and commercial aerospace companies including Boeing, Lockheed Martin, Northrop Grumman, GE Aircraft Engines and Pratt & Whitney, they developed AS9000, based on ISO 9001, to provide a specific quality management standard for the aerospace industry. Prior to the adoption of an aerospace specific quality standard, various corporations typically used ISO 9001 and their own complementary quality documentation/requirements, such as Boeing's D1-9000 or the automotive Q standard. This created a patchwork of competing requirements that were difficult to enforce and/or comply with. The major American aerospace manufacturers collaborated to develop a unified quality standard based on ISO 9001:1994, which led to the creation of AS9000. Following its release, companies like Boeing discontinued their previous quality supplements in favor of complying with AS9000.
Sources: en.wikipedia.org
Agile Manufacturing is a modern production approach that enables companies to respond swiftly and flexibly to market changes while maintaining quality and cost control. This methodology is designed to create systems that can adapt dynamically to changing customer demands and external factors such as market trends or supply chain disruptions. It is mostly related to lean manufacturing. While Lean Manufacturing focuses primarily on minimizing waste and increasing efficiency, Agile Manufacturing emphasizes adaptability and proactive responses to change. The two approaches are complementary and can be combined into a “leagile” system, which balances cost efficiency with flexibility. The principles of Agile Manufacturing, with its focus on flexibility, responsiveness to change, collaboration, and delivering customer value, serve as a foundation for the later development of Agile Software Development.
Studies indicate that a substantial part of the modern vehicle's value comes from intelligent systems, and that these represent most of the current automotive innovation. To facilitate this, the modern automotive engineering process has to handle an increased use of mechatronics. Configuration and performance optimization, system integration, control, component, subsystem and system-level validation of the intelligent systems must become an intrinsic part of the standard vehicle engineering process, just as this is the case for the structural, vibro-acoustic and kinematic design. This requires a vehicle development process that is typically highly simulation-driven.
Sampling provides one rational means of verification that a production lot conforms to the requirements of technical specifications. 100% inspection does not guarantee 100% compliance and is too time-consuming and costly. Rather than evaluating all items, a specified sample is taken, inspected or tested, and a decision is made about accepting or rejecting the entire production lot. Sampling plans have known risks: an acceptable quality limit (AQL) and a rejectable quality level, such as lot tolerance percent defective (LTDP), are part of the operating characteristic curve of the sampling plan. These are primarily statistical risks and do not necessarily imply that a defective product is intentionally being made or accepted. Plans can have a known average outgoing quality limit (AOQL). A single sampling plan for attributes is a statistical method by which the lot is accepted or rejected on the basis of one sample. Suppose that we have a lot of sizes M {\displaystyle M} ; a random sample of size N < M {\displaystyle N<M} is selected from the lot; and an acceptance number B
Stage one: Enterprises operate as isolated islands. Stage two: Corporate-level interactions with little operational-level liaison. Stage three: Agile organizations form virtual enterprises, cooperating at both corporate and operational levels. Agile teams work across company partners. A virtual partnerships enables harnessing and coordination of resources and diverse skills for manufacturing products quickly and facilitates customer involvement in the web of firms. But there are challenges in achieving the 3rd stage. Some key business processes are still poorly understood and ill defined, despite the availability of technology. Furthermore there is a need for techniques to manage companies promoting workforce initiative and performance measures for self-directed, inter-enterprise project teams. The method to operationalize virtual enterprise is different for each scale of company. Big corporations can reorganize business units and refocus on core competences to operate as a virtual enterprise. Small companies can collaborate to deliver quality, scope and scale collectively. SMEs can potentially exploit agile principles thru rapid partnership formation. But this is easier said than done. There is still a lack of clarity on how to become agile, with insufficiently developed mindset, underdeveloped business practices, processes, methods and tools.
One way to effectively deal with the inherent multi-physics and the control systems development that is involved when including intelligent systems, is to adopt the V-Model approach to systems development, as has been widely used in the automotive industry for twenty years or more. In this V-approach, system-level requirements are propagated down the V via subsystems to component design, and the system performance is validated at increasing integration levels. Engineering of mechatronic systems requires the application of two interconnected "V-cycles": one focusing on the multi-physics system engineering (like the mechanical and electrical components of an electrically powered steering system, including sensors and actuators); and the other focuses on the controls engineering, the control logic, the software and realization of the control hardware and embedded software.
Sources: en.wikipedia.org
A/B testing (also known as bucket testing, split-run testing or split testing) is a user-experience research method. A/B tests consist of a randomized experiment that usually involves two variants (A and B), although the concept can be also extended to multiple variants of the same variable. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is employed to compare multiple versions of a single variable, for example by testing a subject's response to variant A against variant B, and to determine which of the variants is more effective. Multivariate testing or multinomial testing is similar to A/B testing but may test more than two versions at the same time or use more controls. Simple A/B tests are not valid for observational, quasi-experimental or other non-experimental situations—commonplace with survey data, offline data, and other, more complex phenomena.
Projected to go undrafted by Sports Illustrated, who criticized his lack of "balance, body control and ability in space," Kuper was ranked as the No. 28 offensive guard available in the 2006 NFL draft. Kuper was eventually selected in the fifth round, 161st overall, by the Denver Broncos. He was the highest selected North Dakota lineman since Todd Thomas in 1981. Kuper started 79-of-90 games played (68 at right guard) while playing his entire eight-year NFL career with the Broncos. On June 4, 2010, the Broncos announced that they had signed Kuper to a five-year deal worth $25.5 million. The new contract made him the second-highest-paid offensive lineman in Broncos' history, second only to former left tackle Matt Lepsis. In 2010, the Denver Broncos announced that Kuper had been selected as co-captain of the Broncos offense, along with Kyle Orton and Daniel Graham. During the regular season finale in 2011 against the Kansas City Chiefs, Kuper suffered a gruesome broken ankle that ended his season. That season Kuper made the Pro Bowl, but withdrew due to the injury and needed surgery. A three-time captain, Kuper was recipient of the Ed Block Courage Award in 2012 as voted on by his teammates. Kuper retired on March 11, 2014.
The American Society for Quality (ASQ), formerly the American Society for Quality Control (ASQC), is a society of quality professionals, with more than 30,000 members, in more than 140 countries. ASQC was established on 16 February 1946 by 253 members in Milwaukee, Wisconsin, with George D. Edwards as its first president. The organization was first created as a way for quality experts and manufacturers to sustain quality-improvement techniques used during World War II. In 1948, ASQC's Code of Ethics established standards for members to conduct their activities and business. Business writer Armand V. Feigenbaum served as president of the society in 1961–63. In 1997, the members of the organization voted to change its name from "American Society for Quality Control" to "American Society for Quality".
A/B testing (also known as bucket testing, split-run testing or split testing) is a user-experience research method. A/B tests consist of a randomized experiment that usually involves two variants (A and B), although the concept can be also extended to multiple variants of the same variable. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is employed to compare multiple versions of a single variable, for example by testing a subject's response to variant A against variant B, and to determine which of the variants is more effective. Multivariate testing or multinomial testing is similar to A/B testing but may test more than two versions at the same time or use more controls. Simple A/B tests are not valid for observational, quasi-experimental or other non-experimental situations—commonplace with survey data, offline data, and other, more complex phenomena.
Sources: en.wikipedia.org