Module 1 - Introduction to IATF 16949:2016

The Core Tools Module 3 course consists of 6 sessions.In order to fully complete the course and understanf the IATF standard, 100% attendance and passing of exam is required.Prior KnowledgeBefore starting this course, learners are expected to have the following prior knowledge:Management Systems: Knowledge of the IATF 16949 standardQuality Management: A basic knowledge of the concepts of quality management and the relationship between quality management and customer satisfaction and understand the commonly used quality management terms and definitions, as given in ISO 9000

This course develops the participants understanding of MSA & key SPC methodologies through group activities and individual participant. The key topics will include: Understanding the objectives of SPC and its benefits Decisions on process adjustment Basic statistics for SPC & MSA and the basis of the Central Limit Theorem Measures of Central Tendency, Measures of Dispersion and shape of a distribution Prediction of percentage out-of-specifications Process Control and Process Capability Interpreting signals on a control chart Control chart planning & selection Variables and attributes control charts Understanding the elements of measurement system e.g. discrimination, resolution, linearity, bias, stability, sensitivity, precision & accuracy, and number of distinct categories Measurement system variations and measurement uncertainty Variable gage study (GRR report) Interpreting measurement unit analysis Understanding variable gage (Long Study) Introduction to the concept of attribute measurement system analysis

Customers are placing increased demands on companies for high quality, reliable products. The increasing capabilities and functionality of many products are making it more difficult for manufacturers to maintain the quality and reliability. Traditionally, reliability has been achieved through extensive testing and use of techniques such as probabilistic reliability modeling. These are techniques done in the late stages of development.  The challenge is to design in quality and reliability early in the development cycle. Failure Modes and Effects Analysis (FMEA) is methodology for analyzing potential reliability problems early in the development cycle where it is easier to take actions to overcome these issues, thereby enhancing reliability through design. FMEA is used to identify potential failure modes, determine their effect on the operation of the product, and identify actions to mitigate the failures. A crucial step is anticipating what might go wrong with a product. While anticipating every failure mode is not possible, the development team should formulate as extensive a list of potential failure modes as possible. The early and consistent use of FMEA in the design process allows the engineer to design out failures and produce reliable, safe, and customer pleasing products. FMEA also capture historical information for use in future product improvement. Types of FMEA There are several types of FMEA; some are used much more often than others are. FMEA should always be done whenever failures would mean potential harm or injury to the user of the end item being designed. The types of FMEA are: System - focuses on global system functions Design - focuses on components and subsystems Process - focuses on manufacturing and assembly processes Service - focuses on service functions Software - focuses on software functions