Design for Quality encompasses several principles, including focusing on customer satisfaction, continuous improvement, and prevention over inspection.

Design for Performance aims to optimize the performance of a product or system by considering factors such as speed, efficiency, and responsiveness.

Failure Mode and Effects Analysis (FMEA) is a systematic technique used to identify potential failure modes, their effects, and the associated risks in a product or system.

Statistical Process Control (SPC) is used in Design for Quality to monitor and control production processes, identify and eliminate assignable causes of variation, and ensure product consistency and quality.

Design for Performance involves benchmarking, performance modeling, capacity planning, and other elements to optimize product or system performance.

Design of Experiments (DOE) is used in Design for Quality to study the relationship between input variables and output responses, optimize product or process parameters, and identify significant factors affecting product quality.

Response Surface Methodology (RSM), Taguchi Method, Genetic Algorithms, and other techniques are commonly used for optimizing product or process parameters in Design for Performance.

Reliability Testing is conducted in Design for Quality to assess product reliability and durability, identify potential failure modes and weaknesses, and validate product performance under various conditions.

Design for Six Sigma is based on several key principles, including focusing on customer requirements, data-driven decision-making, and continuous improvement.

Quality Function Deployment (QFD) is used in Design for Quality to translate customer requirements into design specifications, prioritize customer needs and preferences, and facilitate cross-functional collaboration.

The House of Quality is a commonly used tool in QFD for visualizing and analyzing customer requirements and their relationships with design characteristics.

Robust Design in Design for Quality aims to minimize the impact of noise factors on product performance, optimize product performance under varying conditions, and enhance product reliability and durability.

Design for Manufacturability (DFM) involves considering manufacturing constraints and capabilities, simplifying product assembly and disassembly, and reducing production costs.

Design for Assembly (DFA) in Design for Quality aims to minimize the number of parts and assembly steps, simplify assembly processes, and reduce assembly time and costs.

Quality Assurance (QA), Performance Testing, and Benchmarking are commonly used techniques for evaluating product quality and performance.