Yellow Belt Examination

Variance

A measure of variation in a data set

IoT (Internet of Things)

A network of physical objects with sensors to exchange data with other devices and systems

Digital Product

A product that is sold that does not have physical form

21. The element that is NOT part of a robust Y-statement: A) solution B) output variable C) measures D) constraints E) action

A

31. What is the desired result from the use of the Cause and Effect Matrix tool? A) a prioritized list showing the correlation between inputs and outputs of a process, in alignment with customer requirements B) a listing of process map inputs and outputs that can be used as a primary source of information for the FMEA (Failure Mode Effects Analysis) C) a Pareto list of all the customer requirements

A

65. Select the COS Practice that puts customers first. A) COS Practice 1 B) COS Practice 4 C) COS Practice 6 D) COS Practices 9 & 10

A

Define

What is the real world problem or issue?

37. Which question below does the MSA (Measurement System Analysis) NOT answer? A) would you trust the data? B) what is the true value? C) should we create a new measurement system? D) how would you reduce the measurement system variation? E) how might the variation be introduced?

C

64. At Cummins defects exist in: A) missing parts B) missed specifications C) all of these mentioned here and, even more! D) broken parts

C

39. Choose the ONE TRUE statement from the list below. A) all non-value activities need to be eliminated B) waste identification can be done from your desk C) focus on improving the value added part of the work first, before addressing waste D) waste exists in all types of processes

D

Select the one option that is NOT a customer-focused measurement? A) Conformance yo Requirements B) On Time Delivery C) Customer Satisfaction D) Years in Service

D

Velocity

Speed of data

Range

The difference between the maximum and minimum values in a data set

55. Read each statement carefully and select only the one(s) that are TRUE. A) zero defect mindset looks at causes of variation in processes to support moving from treating individual issues to solving systemic issues B) zero defect mindset is required perfection as a metric C) zero defect mindset includes recognizing the high cost of quality issues D) zero defect mindset is the responsibility of the quality function at cummins

A, C

46. What information is needed when preparing the Pugh Matrix? Check all that apply. A) potential solutions and concepts B) process inputs and outputs C) potential failure modes D) process KPIs E) current process or standard F) customer requirements

A, E, F

54. Select the ONE option that represents what we can think about for our own Zero Defect Mindset: A) take as long as needed to determine defects B) don't create, accept or pass on defects C) make sure to get the product to the customer on time D) make sure the cost to the business is the lowest

B

Enabling a Quality 4.0 environment will support Cummins to be: A) practical, graphical and analytical B) connected, digital and transparent C) capable to determine mean, variance and deviation D) fluent in foreign languages

B

5. Select the best definition of statistics. A) Statistics is the use of data in product design. B) Statistics is the art and science of describing, interpreting and analyzing data. C) Statistics is using sticky notes to understand requirements. D) Statistics is the use of tools in projects.

B) Statistics is the art and science of describing, interpreting and analyzing data..

12. Data for most natural phenomena and man-made processes are represented by: A) The Pareto chart B) The normal distribution C) The histogram D) The boxplot

B) The normal distribution

52. Select ALL the TRUE statements about Standard Working Methods from the list below. A) training people to follow new methods is not required for them to be implemented. B) always include the operator or associate when creating them C) outline safe, efficient, predictable work methods as standards

B, C

56. Click all the elements below that apply to the Quality 4.0 evolution A) Descriptive Statistics B) Autonomous Systems C) Cobots D) Telematics E) Predictive Analytics

B, C, D, E

28. Select only the TRUE statements from the list below. A) total throughput time is the time it takes one process step to be completed B) a value stream map is used to enable continuous improvement C) you can create a value stream map on your own D) value stream maps for manufacturing and for office & service look similar but have fundamental differences E) a value stream map is a visual representation of a process F) a value stream map is made from a process flow, information flow and a timeline

B, D, E, F

48. Select the titles of the four quadrants in the Definition of Done. A) standards documentation B) operational production readiness C) spin-off projects identified D) sponsor/process owner approval E) customer or user acceptance F) legal, regulatory compliance

B, D, E, F

61. Define Total Quality Management. Total Quality Management is: A) the Quality function Mission and Vision B) Six Sigma and Continuous Improvement C) a management system for customer-focused organizations that empowers (?) employees to focus on continuous improvement D) Quality 4.0

C

68. At Cummins, we are all part of the Customer Value Chain. What is the best way that all of us can bring the most value to that chain? A) prepare for audits B) prevent defects C) know our customers and provide products and services to meet their requirements D) do whatever we are told

C

34. When using the Failure Modes and Effects Analysis Tool (FMEA), risk is assessed by: A) outputs B) y-variable C) occurrence D) detection E) severity F) process step

C, D, E

13. The normal distributions below have the same shape, variation/spread and mean. True or false

False

2. Data can only be used in Six Sigma projects , not in every day situations. True or False

False

70. When a link in the customer value chain is broken, NO customer centric measures are impacted; especially if the break is fixed quickly. True or falsw

False

23. The Continuous Improvement methodology that is defined as a method of gathering data and mapping flows to improve efficiency and reduce or eliminate waste is called ___________.

Six sigma statistical improvement Process redesign Value stream transformation 6sigma stats Process (re)design Value stream

Quality 3.0

Statistical studies with process data and industry standards

6. A Pareto chart is used to see which category occurs most to least frequently. It is used to identify opportunities for improvement. True or False

True

Excess Motion

Wasted movement made while working

Analyze

What appropriate tools/methods clarify the problem or issue and it's cause(s)?

Improve

What changes to the cause(s) should I make to improve or correct the problem/issue?

1. What is the PGA ( Practical Graphical Analytical ) Process ? A) A method for categorizing data B) A process to determine if our measurement system is good C) A Tee off time D) The three basic steps of data analysis

D) The three basic steps of data analysis

41. Concept Generation is best done alone, where one can focus clearly, without interruption. True or false

False

57. Quality 4.0 is not interdependent with Industry 4.0 True or False

False

38. The type of MSA (Measurement System Analysis) tool that studies discrete data is: Attribute Agreement Analysis Affinity Diagramming Gage R & R Categorization Boolean Study

Attribute Agreement Analysis

Quality 1.0

Craftsman Guilds

Variety

Data types

Scope

Defining all the improvement deliverables - the results and outputs; evidence of completion measures.

49. Sustainability is defined as a control plan for the process and for customers. True or false

Falsw

Waiting

Lost time due to poor flow

Qualitative

Non - numeric data that represents experience requirements

Continuous

Numeric values that can go on infinitely, fractions and percentages

Bar Graph

Numerical data displayed as a rectangle against a scale

Reports

Presenting data in a way that is easy to understand and analyze

Quality 2.0

Process in Production

Defects/Rework

Production or rework of out of specification parts

Dashboard

Shows a variety of data in a visual way against key performance goals

Data Quality

The level of fit data for its indented use in operations, planning or decisions

11. When summarizing numeric data, the mean (average) is usually a good statistic to describe the location of the data. True or false

True

15. Data Analytics includes the ways you can breakdown data, assess trends over time, compare one sector or measurement to another, and how data is visualized to make trends or relationships easily understandable. True or false

True

Over-processing

Work that adds no value to the customer or business

69. True or False: A) ZDM is a journey. B) a small defect is okay. C) improvement projects can reduce defects. D) a ZDM increases personal satisfaction.

A - true B - false C - true D - true

10. The purpose of ______________ is to summarize important characteristics of data with information we cannot see from looking at a table. A) Descriptive statistics B) Continuous Improvement C) Quantitative data D) Excel spreadsheets E) Six Sigma

A) Descriptive statistics

Volume

Amount of data

33. How can you determine that a process is capable? A) the process performance is within the process control limits B) the process performance is within the customer specification or requirement limits C) the process performance has only a few defects

B

42. Documenting Concept Generation is important to the success of the work because: A) stakeholders will want to know how we arrived at our idea or solution B) all of these listed here C) colleagues will look to understand how to use the tools and activities D) project sponsors and leaders will need to ensure the concepts generated are in alignment with the project goals and objectives E) business leaders will need to rationalize the selected ideas for value and return on investment

B

Data Science

Brings together sets of data to find patterns, reduce to most significant predictors

20. Which skills are enhanced in Continuous Improvement work? A) Computer Skills B) Oracle Skills C) Leadership Skills D) Product Design Skills

C

29. The As/Is Process is defined as: A) How the process should work B) How the process is documented C) How the process actually works now D) How the process works after an improvement or solution is implemented

C

Overproduction

Excess supply beyond the requirements of the next process

17. Data Mining is all about looking for: A) Data about minerals B) Data from external sources C) More data to use in Data Analytics D) Previously unrecognized patterns in data

D

Resources

Defining everything needed to deliver the solution: people, money and things.

Schedule

Defining which tasks go in what order that are critical to full completion to understand how long everything will take.

Quality 4.0

Digitization of tools and processes within systems

Pie Chart

Emphasizes where the data fits in relation to a larger whole

8. Box plots help us compare multiple samples of data. Which shift has more variation in the weights produced? Evening or Morning

Evening

24. In Product or Manufacturing Problem Solving, we use the _______ Process. A) 9 box B) SWOT analysis C) process mapping D) root cause analysis E) PGA (practical, graphical, analytical) F) 7-step

F

43. What is the purpose of the Pugh Matrix? A) to generate solution ideas based on customer requirements B) to prioritize inputs and outputs of a process C) to analyze possible failure modes in a process or product D) to receive feedback for process performance E) to ensure customer requirements are recorded F) to rapidly evaluate potential solutions to determine the beat one based on the customer's requirements

F

Attribute or Discrete

Finite amount of items, categorical data, boolean/binary data

Measure

How are we measuring or realizing that a problem or issue exists?

Control

How do I prevent the problem/issue from ever happening again?

Gauge Chart

Illustrates performance measure against a goal measure

9. Time series plots track data over time. Which shift below seems to have the most consistent data over time? Evening or Morning

Morning

Language Processing

Programming computers to process and analyze large amounts of language (word) data

Standard Deviation

The square root of the variance of a data set

25. A project team consists of a Project Leader (Belt) and core team members who are accountable for delegated tasks from the Belt and responsible for day-to-day project support. True or false

True

36. The purpose of an MSA (Measurement System Analysis) is to determine if there are any risks associated with the measurement system. True or False

True

51. Standard working methods are simple written descriptions of the best current understanding of the safest, highest quality and most efficient way to perform a process. True or false

True

62. Select the TRUE statements from the ones below. A) in a Total Quality Management System, all employees are empowered to focus on continuous improvement B) The Cummins Operating System is Total Quality management at Cummins C) Total Quality Management is led by the Quality function at Cummins D) in a Total Quality Management System, Product Quality sets the standards

A, B

3. Data are observations about the following (click all that apply): A) Object B) Process C) Person D) Strategy E) Event

A, B, C, E

14. Name the three core components of Business Intelligence. A) Data Mining B) Big Data C) Finance (cost, profit) D) Data Analytics E) Information Systems

A, B, D

45. Select ALL the TRUE statements about 5S from the list below. A) 5S promotes cleanliness, orderliness and standardization B) 5S can be done by one person on their own C) 5S is a short term project activity D) 5S makes abnormalities clearly visible E) 5S only applies to assembly lines

A, C, D

Transportation

Excess movement of work in process

Inventory

Excess raw material, work in process or finished goods

35. Place the steps in numeric order to complete a Failure Modes and Effects Analysis (FMEA) activity.

1. Enter Process Data and determine failure modes and link failure modes to effects 2. Identify potential causes for each failure mode 3. List current prevention and detection 4. Assign Severity, Occurrence, and Detection ratings 5. Calculate Risk Priority Numbers (Ranks) 6. Determine recommended actions 7. Take appropriate actions and recalculate Risk Priority Numbers (Ranks) to validate risk reduction