Current Product Reliability Engineer

Job Description

Applies basic knowledge of statistical tools and warranty databases to analyze existing component or system reliability, report the reliability per the customers reporting requirements, and provide interpretation of the results. Applies basic knowledge to assigned tasks to provide reliability comparisons and assessments across the Cummins product range and identify and report adverse or favorable trends in current product reliability. Applies basic knowledge of statistical and life data analysis techniques to statistically quantify the reliability impact of design change. Assists with the development of related tools and methods in order to quantify and improve product reliability. Works with current product problem solving teams as well as finance and marketing functions.Applies engineering and/or scientific skills to technical processes with support from experienced team members.Participates as a team member, helps define/refine methods and actively contributes towards team goals.Carries out engineering responsibilities using accepted methods and practical experience.Demonstrates good understanding and applies knowledge of an engineering discipline.Continues to develop capability to create engineering solutions through training and experience., *SkillsGlobal perspective - Taking a broad view when approaching issues, using a global lens.Customer focus - Building strong customer relationships and delivering customer-centric solutions.Product Failure Reporting and Corrective/Preventive Action Systems - Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product.Product Failure Mode Avoidance - Mitigates potential product failure modes, by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products.Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Reliability and Reliability Risk Management - Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales and methods of tracking to focus attention on metrics to reduce risk and improve reliability.Quantitative Reliability Analysis - Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement.Reliability Test Planning - Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters and confidence; develops system level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions.Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions.Education, Licenses, CertificationsMaster of Science, Bachelor of Science, or equivalent technical degree required.This position may require licensing for compliance with export controls or sanctions regulations.ExperienceBasic relevant work experience desired, such as internship, co-op, or other pertinent work experience.This resource willbe part of CGSA Quality and need to work as shared Reliability engineer for few customers of CGSA quality function .o Knowledge of engine and Genset and itsparts function and failure modeso Knowledgeof MS Office (Word, PowerPoint, Excel)o Excelprogramming (VBA) , Power Pivot experience desirable.o Knowledgeof statistical software packages (eg Minitab, Weibull++, Winsmith,JMP,R-Programming) is preferable .o Awarenessof warranty data analysis and life data analysis is preferable.o Experienceof working in service and Quality function is desirable.o Sound knowledge of handing big data setsand draw meaning ful conclusion from it .o Know Reliability engineer basics andcertification from ASQ about CRE or CQE preferable.o Six Sigma yellow belt certified or GreenBelt certification.Person qualified for Manthan Level 2 program preferred.Work Area-Reliability data analysis for different Products with the help of above skills.Present the analysis report in front of leadership and explain the problems aswell as improvement after previous actions .

Keyskills :
new product developmentbig datasix sigma