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Process optimization is the discipline of adjusting a process so as to make the best or most effective use of some specified set of parameters without violating some constraint. Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major quantitative tools in industrial decision making.
Process–architecture–optimization is a development model for central processing units (CPUs) that Intel adopted in 2016. Under this three-phase (three-year) model, every microprocessor die shrink is followed by a microarchitecture change and then by one or more optimizations.
Maturity Levels: a 5-level process maturity continuum - where the uppermost (5th) level is a notional ideal state where processes would be systematically managed by a combination of process optimization and continuous process improvement. Key Process Areas: a Key Process Area identifies a cluster of related activities that, when performed ...
Evolutionary Operation (EVOP) is a manufacturing process-optimization technique developed in the 1950s by George E. P. Box. [1] In EVOP, experimental designs and improvements are introduced, while an ongoing full-scale manufacturing process continues to produce satisfactory results. The idea is that process improvement should not interrupt ...
It is used for product or process design in contrast with process improvement. [1] Measurement is the most important part of most Six Sigma or DFSS tools, but whereas in Six Sigma measurements are made from an existing process, DFSS focuses on gaining a deep insight into customer needs and using these to inform every design decision and trade-off.
Under this model, every new process technology was first used to manufacture a die shrink of a proven microarchitecture (tick), followed by a new microarchitecture on the now-proven process (tock). It was replaced by the process–architecture–optimization model , which was announced in 2016 and is like a tick–tock cycle followed by an ...
The plan–do–check–act cycle is an example of a continual improvement process. The PDCA (plan, do, check, act) or (plan, do, check, adjust) cycle supports continuous improvement and kaizen. It provides a process for improvement which can be used since the early design (planning) stage of any process, system, product or service.
Derivative-free optimization is a subject of mathematical optimization. This method is applied to a certain optimization problem when its derivatives are unavailable or unreliable. Derivative-free methods establish a model based on sample function values or directly draw a sample set of function values without exploiting a detailed model.