.Assessment Submission Form A copy of this form must accompany all work submitted for marking (for work submitted by email it may be recreated as part of the file, with all of the information shown below to be included on the email version). Work will not be marked unless accompanied by a completed submission form. Thank you. Surname First Name Learner ID Number Programme Teacher / Assessor Assessment Title Assignment 1 Unit Number Unit 36 – Statistical Process Control SPC AUTHENTICATION DECLARATION This submission is my own work. • I have made no use of printed, electronic or oral sources, apart from those which have been openly and fully acknowledged in this piece of coursework. • If I have used another person’s work, it has been distinguished from my own work through: o The use of quotation marks within a paragraph, or o A separate indented paragraph (for larger quotes) • I have referenced these sources within the text, and provided full descriptions in the bibliography. • I have read, understood and followed the College’s Statement on Plagiarism and the Course Handbook for this piece of work. Signed ASSESSMENT ACKNOWLEDGEMENT FORM (To be completed by receiver and returned to learner for their records) Assessment Title Assignment 1 – Unit 36 Name of Receiver Ian Ward Job Title Sessional Lecturer Contact Ext No. Date Assessment Received School of Engineering Computers and Media Summative Assessment Form BTEC National Level 2 Subsidiary Diploma in Engineering Learner Name: Learner ID No: Assessment Title: Assignment 1 – Unit 36 - SPC Assignment No. Unit Name: Statistical Process Control Submission Deadline: Actual Submission Date: 8th April 2016 Learning Outcomes Assessed (Please shade criteria NOT being assessed) P1.1 P1.2 P1.3 P1.4 P2.1 P2.2 P3.1 M1 M2 M3 M4 M5 M6 M7 D1 D2 D3 D4 D5 D7 D7 Final Assessment Feedback Fall back grading criteria achieved (Where appropriate to be used where learners have not achieved at the required level) Areas for Praise: Areas for Improvement: Spelling, Punctuation and Grammar: General Comments: Assessor Declaration: I declare that the evidence submitted is the learners own. The learner has clearly referenced any sources used in the work Teacher/Assessor Signature: Summative Grade (Subject to Internal Validation) Date: Resubmission Authorisation Date (Only 1 resubmission is possible per assessment) Approved Signature (can only be approved by CQL) Learner to Complete – How will I use this feedback to improve? Learner Signature Date: Assignment title Recommended reading Background Scenario Grading criteria Criteria reference Task no. Evidence to produce Evaluate the two basic types of inspection used in sampling for process control P1.1 1 Report Describe the significance of natural and assignable causes of Variation P1.2 2 Report Use selected data to construct frequency distribution and calculate mean, range and standard deviation P1.3 3 Report Relate the characteristics of the normal curve to the distribution of the means of small samples P1.4 4 Report Select and group sample data based on variable inspection and calculate appropriate control chart limits P2.1 5 Report Construct a control chart for variables P2.2 6 Evidence Describe process capability P3.1 7 Report Tasks Task no. Evidence to produce Maths and English Functional Skills:- Please use this Assignment to improve your Maths and English Functional Skills where appropriate.   The aim of this unit is to enable learners to acquire and apply relevant statistical techniques used in process quality control, and to evaluate a process against a given specification. Aim The aim of this assignment is to use STATISTICAL TECHNIQUES to analyse a set of VARIABLE MEASUREMENTS provided. The candidate can then relate the design specification to the process capability. The OUTCOMES that are being tested by the assignment are listed below. 1 Investigate statistical techniques used in process control 2 Select data and construct process control charts based on variable inspection data Assignment Brief. Section A: SPC / Quality: THEORY 1. Describe SPC. 2. How would you use Statistical Process Control (SPC) to be most effective? 3. Evaluate the two basic types of inspection used in sampling for process control (P1.1) 4. Sigma is a measure of variation. With the aid of diagrams and using the normal distribution curve, describe the significance of natural and assignable causes of variation (P1.2) 5. What is “Goalpost Mentality”? Why does it give producers false hope that they are satisfying their customers? What is a better way of looking at your performance capability?(P3.1) 6. The quality journey has been associated with various champions/gurus, who have appeared in three distinct waves. a) Describe the three waves, approximately when they occurred, their main focus and the champions/gurus associated with them. b) Select one champion/guru from part a) and describe in detail his/her main message and contribution to quality. Section B: SPC: IMPLEMENTATION PART 1 INVESTIGATE TYPES OF VARIATION WITHIN A PROCESS Using a computer application 1) The following variable results were obtained by taking samples of five (5) items at regular intervals. PLEASE USE 50p DATA (SEPARATE DOCUMENT (NAMED: SPC Henley College Information.DOCX) a) Construct control charts for the sample means and ranges charts showing the control limits • Use the selected data to construct frequency distribution and calculate mean, range and standard deviation (P1.3) • Select and group sample data based on variable inspection and calculate appropriate control chart limits (P2.1) • Construct a control chart for variables (P2.2) UCL = + A2 UCL R = D4 LCL = - A2 LCL R = D3 b) The specification asks for a tolerance of 280mm +/- 5mm. Calculate the process capability indices Cp and Cpk and comment on these. What level of process capability should you strive to achieve for Cp and Cpk. Evaluate the process against the quality requirement(P3.3) Part 2: using a process control chart (please use attached chart, print in A3) 4 Customers are demanding higher levels of quality and you are requested to demonstrate your company’s ability by providing statistical process control charts from a pre-production trial. The customer’s specification is 10 mm with a tolerance of ± 0.5 mm. Below are 10 samples taken at regular periods. Each sample contains five observations. PLEASE USE 50p DATA (SEPARATE DOCUMENT (NAMED: SPC Henley College Information.DOCX) a) Check the data for normality and comment. Why? Comment on the results by relating the characteristics of the normal curve to the distribution of the means of small samples (P1.4) b) Construct the mean ( ) and range (R) charts and comment. (P1.3) UCL = + A2 UCL R = D4 LCL = - A2 LCL R = D3 c) Calculate and comment on the process capability indices Cp and Cpk. What actions do you think you need to take before full production starts? (P3.1) PASS ASSESSMENT CRITERIA Unit 36: SPC: Pass criteria covered within this assignment is listed below. 1 Investigate statistical techniques used in P1.1 evaluate the two basic types of inspection used in sampling for process control P1.2 describe the significance of natural and assignable causes of Variation P1.3 use selected data to construct frequency distribution and calculate mean, range and standard deviation P1.4 relate the characteristics of the normal curve to the distribution of the means of small samples 2 Select data and construct process control charts P2.1 select and group sample data based on variable inspection and calculate appropriate control chart limits P2.2 construct a control chart for variables 3 Relate design specifications to process capability P3.1 describe process capability MERIT CRITERIA In addition to the Pass criteria you are also given the opportunity to cover Merit criteria: Identify and apply strategies to find appropriate solutions (M1) M1 requires you to use an effective approach to study, research is to be applied, and from this research effective judgements have to be made Select/design and apply appropriate methods/techniques (M2) M2 requires you to use a range of methods and techniques which really quite relates strongly to this assignment as you are required to produce the relevant calculations (controls limits) and then plot these in a suitable format have been applied then from these charts you will need to make comments. Present and communicate appropriate findings (M3) A logical and clear process has been used within the assignment tasks, all calculations and control charts are clearly displayed and presented.