Job address
US
Company size
11-50 employees
Job sector
Manufacturing
occupation category
Other
Job type
Contract
Work environment
In person
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Required skills
- Describe the elements of a project risk analysis, including feasibility, potential impact, risk priority number (RPN), and risk management. Identify the potential effect risk can have on project goals and schedule, resources (materials and personnel), business continuity planning, costs and other financial measures, and stakeholders.
- Review with team members and sponsors the project objectives achieved in relation to the charter and ensure that documentation is completed and stored appropriately. Identify lessons learned and inform other parts of the organization about opportunities for improvement.
- Define, select, and apply these tools: 1) affinity diagrams, 2) interrelationship digraphs, 3) tree diagrams, 4) prioritization matrices, 5) matrix diagrams, 6) process decision program charts (PDPC), 7) activity network diagrams, and 8) SWOT analysis.
- Calculate process performance metrics such as defects per unit (DPU), rolled throughput yield (RTY), cost of poor quality (CoPQ), defects per million opportunities (DPMO), sigma levels, and process capability indices. Track process performance measures to drive project decisions.
- Define and describe communication techniques used in organizations: top-down, bottom-up, and horizontal.
- Define and describe the stages of team evolution, including forming, storming, norming, performing, adjourning, and recognition. Identify and help resolve negative dynamics such as overbearing, dominant, or reluctant participants, the unquestioned acceptance of opinions as facts, groupthink, feuding, floundering, the rush to accomplishment, attribution, discounts, digressions, and tangents.
- Use tools such as RACI, to describe and define the roles and responsibilities of participants on six sigma and other teams, including black belt, master black belt, green belt, champion, executive, coach, facilitator, team member, sponsor, and process owner
- Define and apply team tools such as brainstorming, and decision- making concepts such as nominal group technique, and multivoting.
- Reviews project progress to include reviewing submitted progress reports and financial reports and/or comparing accomplishments to goals and objectives in order to prepare progress reports or presentations or monitor progress toward goal achievement.
- Develop process maps and review written procedures, work instructions, and flowcharts to identify any gaps or areas of the process that are misaligned.
- Describe and interpret basic probability concepts: independent events, mutually exclusive events, multiplication rules, permutations, and combinations.
- Define the central limit theorem and describe its significance in relation to confidence intervals, hypothesis testing, and control charts.
- Define and describe various distributions as they apply to statistical process control and probability: normal, binomial, Poisson, chi square, Student’s t, and F.
- Identify and classify continuous (variables) and discrete (attributes) data. Describe and define nominal, ordinal, interval, and ratio measurement scales.
- Define and apply various sampling methods (random and stratified) and data collection methods (check sheets and data coding). Prepare data collection plans that include gathering data and performing quality checks (e.g. minimum/maximum values, erroneous data, null values)
- Define, calculate, and interpret measures of dispersion and central tendency. Develop and interpret frequency distributions and cumulative frequency distributions.
- Construct and interpret diagrams and charts that are designed to communicate numerical analysis efficiently, including scatter diagrams, normal probability plots, histograms, stem-and-leaf plots, box-and-whisker plots.
- Calculate, analyze, and interpret measurement system capability using gauge repeatability and reproducibility (GR&R) studies, measurement correlation, bias, linearity, percent agreement, and precision/tolerance (P/T).
- Define and distinguish between natural process limits and specification limits, and calculate process performance metrics.
- Define, describe, and conduct process capability studies, including identifying characteristics, specifications, and tolerances, and verifying stability and normality.
- Describe the relationship between these types of indices. Define, select, and calculate process capability and process performance. Describe when Cpm measures can be used. Calculate the sigma level of a process.
- Describe the assumptions and conventions that are appropriate to use when only short-term data are used. Identify and calculate the sigma shift that occurs when long- and short-term data are compared.
- Select appropriate sampling plans to create multi-vari study charts and interpret the results for positional, cyclical, and temporal variation.
- Describe the difference between correlation and causation. Calculate the correlation coefficient and linear regression and interpret the results in terms of statistical significance (p-value). Use regression models for estimation and prediction.
- Distinguish between statistical and practical significance. Determine appropriate sample sizes and develop tests for significance level, power, and type I and type II errors.
- Conduct hypothesis tests to compare means, variances, and proportions and interpret the results.
- Analyze scenarios to identify performance gaps and compare current and future states using predefined metrics.
- Use cause and effect diagrams, relational matrices, 5 Whys, fault tree analysis, and other problem solving tools to identify the true cause of a problem.
- Define and describe terms such as independent and dependent variables, factors and levels, responses, treatments, errors, repetition, blocks, randomization, effects, and replication.
- Interpret main effects analysis and interaction plots.
- Apply implementation planning by using proof of concepts, try-storming, simulations, and pilot tests.
- Select and apply tools and techniques for eliminating or preventing waste, including pull systems, kanban, 5S, standard work, and poka-yoke.
- Use various techniques to reduce cycle time (continuous flow, setup reduction), single-minute exchange of dies (SMED).
- Define and distinguish between these two methods and apply them in various situations.
- Describe the theory and objectives of SPC, including measuring and monitoring process performance for both continuous and discrete data. Define and distinguish between common and special cause variation and how these conditions can be deduced from control chart analysis.
- Define and describe how rational subgrouping is used.
- Identify, select, construct, and use control charts: X-R, X-s, individual and moving range (ImR or XmR), median, p, np, c, and u.
- Assist in developing and implementing a control plan to document and monitor the process.
- Understand document control and its role in controlling and sustaining improvements.
- Develop training plans to implement and sustain improvements.
- Define first-, second-, and third-party audits.
- Apply and distinguish between the steps of plan-do-check-act (PDCA)
- Define the elements of TPM, including use of predictive maintenance and describe how they can be used to control the improved process.
- Define the elements of a visual factory (Andon, Jidoka) and describe how they can be used to control the improved process.
- Recognize why organizations use Six Sigma, how they apply its philosophy and goals, and the evolution of Six Sigma from quality leaders such as Juran, Deming, Shewhart, Ishikawa, and others.
- Identify the linkages and supports that need to be established between a selected Six Sigma project and the organization’s goals including SMART goals, and describe how process inputs, outputs, and feedback at all levels can influence the organization as a whole.
- Recognize key business drivers (profit, market share, customer satisfaction, efficiency, product differentiation, key performance indicators (KPIs)) for all types of organizations. Understand how key metrics and scorecards are developed and how they impact the entire organization
- Define and describe lean concepts such as theory of constraints, value chain, flow, takt time, just-in-time (JIT), Gemba, spaghetti diagrams, and perfection.
- Use value stream mapping to identify value-added processes and steps or processes that produce waste, including excess inventory, unused space, test inspection, rework, transportation, and storage.
- Distinguish between DMADV (define, measure, analyze, design, verify) and IDOV (identify, design, optimize, verify), and recognize how they align with DMAIC. Describe how these methodologies are used for improving the end product or process during the design (DfSS) phase. Understand how verification and validation are used to compare results against stated goals.
- Use FMEA to evaluate a process or product and determine what might cause it to fail and the effects that failure could have. Identify and use scale criteria, calculate the risk priority number (RPN), and analyze the results.
- Define and distinguish between these two uses of FMEA.
- Describe the project selection process and what factors should be considered in deciding whether to use the Six Sigma DMAIC methodology or another problem- solving process.
- Define and describe process components and boundaries. Recognize how processes cross various functional areas and the challenges that result for process improvement efforts.
- Understand various types of benchmarking, including competitive, collaborative, and best practices.
- Identify process input and output variables and evaluate their relationships using the supplier, input, process, output, customer (SIPOC) model
- Identify the process owners and other stakeholders in a project.
- Identify the internal and external customers of a project, and what effect the project will have on them.
- Collect feedback from customers using surveys, focus groups, interviews, and various forms of observation. Identify the key elements that make these tools effective. Review data collection questions to eliminate vagueness, ambiguity, and any unintended bias.
- Use quality function deployment (QFD), Critical to X (CTX when 'X' can be quality, cost, safety, etc.), Critical to Quality tree (CTQ), and Kano model to translate customer requirements statements into product features, performance measures, or opportunities for improvement. Use weighting methods as needed to amplify the importance and urgency of different kinds of input; telephone call vs. survey response; product complaint vs. expedited service request
- Define and apply agile and top- down project management methods.
- Define and describe elements of a project charter and develop a problem statement that includes baseline data or current status to be improved and the project’s goals.
- Help define the scope of the project using process maps, Pareto charts, and other quality tools.
- Help develop primary metrics (reduce defect levels by x-amount) and consequential metrics (the negative effects that making the planned improvement might cause)
- Use work breakdown structures (WBS), Gantt charts, critical path method (CPM), and program evaluation and review technique charts
- Describe the types of data and input needed to document a project. Identify and help develop appropriate presentation tools for phase reviews and management updates.
