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MECHANIC DIESEL - CITS




           Checksheet

           Check sheets are simple forms with certain formats that can aid the user to record data in a firm systematically.
           Data are “collected and tabulated” on the check sheet to record the frequency of specific events during data
           collection period. They prepare a “consistent, effective, and economical approach” that can be applied in the
           auditing of quality assurance for reviewing and to follow the steps in a particular process. Also, they help the user
           to arrange the data for the utilization later (Montgomery, 2009; Omachonu and Ross, 2004). The main advantages
           of check sheets are to be very easily to apply and understand, and it can make a clear picture of the situation
           and condition of the organization. They are efficient and powerful tools to identify frequently problems, but they
           don’t have effective ability to analyze the quality problem into the workplace. The check sheets are in several,
           three major types are such as Defect-location check sheets; tally check sheets, and; defect-cause check sheets
           (Kerzner, 2009). Fig 2 is depicted a tally check sheet that can be used for collecting data during production
           process.

















                                      Check sheet (Tally) for telephone interruptions
           Histogram
           Histogram is very useful tool to describe a sense of the frequency distribution of observed values of a variable. It
           is a type of bar chart that visualizes both attribute and variable data of a product or process, also assists users to
           show the distribution of data and the amount of variation with in a process. It displays the different measures of
           central tendency (mean, mode, and average). It should be designed properly for those working into the operation
           process can easily utilize and understand them. Also, a histogram can be applied to investigate and identify the
           under lying distribution of the variable being explored (Omachonu and Ross, 2004; Forbes and Ahmed, 2011).
           Fig 3 illustrates a histogram of the frequency of defects in a manufacturing process.

             Fig 3

























           Pareto analysis

           It  introduced  by  an  Italian  economist,  named  Vilfredo  Pareto,  who  worked  with  in  come  and  other  unequal
           distribution since 19thcentury, he noticed that 80% of the wealth was owned by only 20% of the population. later,



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                                   CITS : Automotive - Mechanic Diesel - Lesson 01 - 04
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