{"id":10927,"date":"2020-02-21T16:33:42","date_gmt":"2020-02-21T16:33:42","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/15my52t-statistical-quality-control-mechanical-mtt-5th-sem-syllabus-for-diploma-dte-karnataka-c15-scheme\/"},"modified":"2020-02-21T16:33:42","modified_gmt":"2020-02-21T16:33:42","slug":"15my52t-statistical-quality-control-mechanical-mtt-5th-sem-syllabus-for-diploma-dte-karnataka-c15-scheme","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/15my52t-statistical-quality-control-mechanical-mtt-5th-sem-syllabus-for-diploma-dte-karnataka-c15-scheme\/","title":{"rendered":"15MY52T: Statistical Quality Control Mechanical MTT 5th Sem Syllabus for Diploma DTE Karnataka C15 Scheme"},"content":{"rendered":"

Statistical Quality Control detail DTE Kar Diploma syllabus for Mechanical Engineering (Machine Tool Technology) (MY), C15 scheme is extracted from DTE Karnataka<\/a> official website and presented for diploma students. The course code (15MY52T), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below. The syllabus PDFs can be downloaded from official website.<\/p>\n

For all other mechanical mtt 5th sem syllabus for diploma c15 scheme dte karnataka you can visit Mechanical MTT 5th Sem Syllabus for Diploma C15 Scheme DTE Karnataka Subjects<\/a>. The detail syllabus for statistical quality control is as follows.<\/p>\n

Pre-requisites:<\/h4>\n

Knowledge of Basic Applied Science, Metrology and Mechanical Measurements\n<\/p>\n

Course Objectives:<\/h4>\n
    \n
  1. To know the basic knowledge of Statistical quality control.<\/li>\n
  2. To understand the basic concepts of sampling plan, variation and process capability.<\/li>\n<\/ol>\n

    Course Outcomes:<\/h4>\n

    For complete syllabus and results, class timetable and more pls download iStudy Syllabus App<\/a>.<\/b> Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

    INTRODUCTION TO STATISTICAL QUALITY CONTROL\t06hrs<\/h4>\n
      \n
    1. Introduction to Inspection, Quality, Quality control, Quality assurance and SQC<\/li>\n
    2. Difference between Inspection and Quality control<\/li>\n
    3. Application of SQC<\/li>\n
    4. Benefits of SQC<\/li>\n
    5. Tools of SQC<\/li>\n
    6. Place of inspection in an organization<\/li>\n<\/ol>\n

      BASIC STATISTICAL CONCEPTS\t12 hrs<\/h4>\n
        \n
      1. The Concept of Variation<\/li>\n
          \n
        1. Types of Variation<\/li>\n
        2. Reason for Variation<\/li>\n<\/ol>\n
        3. Introduction to variables and attributes<\/li>\n
            \n
          1. Distinguish between variables and attributes with examples<\/li>\n<\/ol>\n
          2. Frequency Distribution<\/li>\n
          3. Graphical Representation of Frequency Distribution like line diagram, histogram, Frequency polygon, frequency curve<\/li>\n
          4. Quantitative Description of distribution<\/li>\n
              \n
            1. Central Tendency like arithmetic mean or average, median or middle value, mode<\/li>\n
            2. Measures of dispersion like range, standard deviation and Variance<\/li>\n<\/ol>\n
            3. Normal Curve<\/li>\n
                \n
              1. Area Under Normal distribution curve<\/li>\n<\/ol>\n
              2. Simple Problems<\/li>\n<\/ol>\n

                CONTROL CHARTS FOR VARIABLES\t09 hrs<\/h4>\n

                For complete syllabus and results, class timetable and more pls download iStudy Syllabus App<\/a>.<\/b> Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

                CONTROL CHARTS FOR ATTRIBUTES\t08hrs<\/h4>\n
                  \n
                1. Practical limitations of the control chart for variables<\/li>\n
                2. Control Limits (3Sigma limits) on P chart<\/li>\n
                3. Purpose of the P chart.<\/li>\n
                4. Control limits for NP Chart<\/li>\n
                5. Essential steps in control chart<\/li>\n
                6. Comparison of X-bar and R chart with P Chart<\/li>\n
                7. Calculations of control limits on C chart<\/li>\n
                8. Comparison between attributes charts and variable chart<\/li>\n
                9. Simple Problems<\/li>\n<\/ol>\n

                  TOLERANCES\t07 hrs<\/h4>\n
                    \n
                  1. Purpose of specification<\/li>\n
                  2. Specifying tolerances<\/li>\n
                  3. Effect of careless setting of specification limits<\/li>\n
                  4. Statistical tolerance<\/li>\n
                  5. Theorems on statistical tolerances<\/li>\n
                  6. Simple problems<\/li>\n<\/ol>\n

                    ACCEPTANCE SAMPLLING\t10 hrs<\/h4>\n

                    For complete syllabus and results, class timetable and more pls download iStudy Syllabus App<\/a>.<\/b> Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

                    Reference Books:<\/h4>\n
                      \n
                    1. Statistical Quality control by Douglas C Montgomery Wiley India Publications2011<\/li>\n
                    2. Statistical Quality control by M.Mahajan, Dhanpat Rai & Company, New Delhi.<\/li>\n
                    3. Total Quality control by Fiegunbum A.V. Mcgrawhill – Inc -1991<\/li>\n
                    4. Introduction to statistical quality control. Second edition By Douglas C. Montgomery<\/li>\n<\/ol>\n

                      Model Question Paper:<\/h4>\n

                      (CIE)<\/p>\n

                        \n
                      1. List applications of SQC<\/li>\n
                      2. Distinguish between normal inspection and Quality control<\/li>\n
                      3. Explain Types of Variation\tOR Explain the Histogram<\/li>\n
                      4. List any ten Reason for Variation\tOR Explain the frequency Polygon<\/li>\n<\/ol>\n

                        Note: Internal Choice may be given in each CO at the same cognitive level (CL).<\/i>\n<\/p>\n

                        Model Question Paper:<\/h4>\n

                        PART-A<\/b><\/p>\n

                        (Answer any SIX Questions from this Section) (6 x 5) = 30<\/p>\n

                          \n
                        1. List applications of SQC<\/li>\n
                        2. Distinguish between normal inspection and Quality control<\/li>\n
                        3. Define quality control and quality assurance<\/li>\n
                        4. Explain the Histogram<\/li>\n
                        5. List the Objectives of the control chart<\/li>\n
                        6. Explain the control chart with graph<\/li>\n
                        7. List the advantages of acceptance sampling<\/li>\n
                        8. Explain the Producers and customers Risk list<\/li>\n
                        9. Explain Acceptable quality level (AQL)<\/li>\n<\/ol>\n

                          PART-B<\/b><\/p>\n

                          (Answer any SEVEN Questions from this Section) (7×10)=70<\/p>\n

                            \n
                          1. Explain arithmetic mean, median and mode<\/li>\n
                          2. Assuming that the life in hours of electric bulb is a random variable following normal distribution with mean of 2000 hours and standard deviation of 400 hours. Find the expected number of bulbs from a random sample of 2000 bulbs having life<\/li>\n
                              \n
                            1. More than 3000 hours<\/li>\n
                            2. Between 2600 and 2800 hours.<\/li>\n<\/ol>\n
                            3. <\/li>\n
                                \n
                              1. Explain the kinds of variability<\/li>\n
                              2. Explain the process capability<\/li>\n<\/ol>\n
                              3. Determine the control limits for X bar and R charts if sigma X bar =357.50, # R = 9.90, number of subgroups = 20 it is given by A2 = 0.18, D3 = 0.41, D4 = 1.59 and d2 = 3.735. Also find the process capability<\/li>\n
                              4. <\/li>\n
                                  \n
                                1. Distinguish the defect and a defective<\/li>\n
                                2. Distinguish attributes charts and variable chart<\/li>\n<\/ol>\n
                                3. Compare the X-bar and R chart with P Chart<\/li>\n
                                4. <\/li>\n
                                    \n
                                  1. Explain the purpose of Specification<\/li>\n
                                  2. Explain the need of specifying Tolerances<\/li>\n<\/ol>\n
                                  3. <\/li>\n
                                      \n
                                    1. Explain statistical tolerances<\/li>\n
                                    2. Illustrate the Theorems on statistical Tolerance<\/li>\n<\/ol>\n
                                    3. Two pieces AB and CD are assembled together in a mass production assembly. The average the dimension of AB is 35mm. The dimension is statistically controlled with a standard deviation of 0.2mm. The average dimension of CD is 25mm. This dimension is statistically controlled with a standard deviation of 0.15. Both dimensions are normally distributed. The average value of the combined dimension will obviously be 35+25 =60mm.The assembly of the two parts is at random. Compute the approximate values of the probability that an assembly will have a combined dimension in excess60.5mm<\/li>\n
                                    4. Compare the single sampling and double sampling plans<\/li>\n<\/ol>\n

                                      For detail syllabus of all other subjects of BE Mechanical Mtt, C15 scheme do visit Mechanical Mtt 5th Sem syllabus for C15 scheme<\/a>.<\/p>\n

                                      Dont forget to download iStudy Syllabus App<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                      Statistical Quality Control detail DTE Kar Diploma syllabus for Mechanical Engineering (Machine Tool Technology) (MY), C15 scheme is extracted from DTE Karnataka official website and presented for diploma students. The […]<\/p>\n","protected":false},"author":2298,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[18,73],"tags":[],"class_list":["post-10927","post","type-post","status-publish","format-standard","hentry","category-5th-sem","category-machine-tool-tech-diploma"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/10927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/users\/2298"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/comments?post=10927"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/10927\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/media?parent=10927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/categories?post=10927"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/tags?post=10927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}