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SEEM3500: Quality Control and Management

创建日期：2024-05-04 17:48:07

所属分类：电气工程electric engineering

标签： SEEM3500

Quality Control and Management

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SEEM3500: Quality Control and Management

Mid-term Exam
This exam paper has three parts. Part I has 10 questions, Part II has 5 questions and Part III
has 4 questions. Do all of the questions. The total mark is 100. Three notes are attached to the
exam paper: Control chart constants, seven rules to detect out-of-control points and table of
standard normal distribution. Minitab data files must be downloaded separately from the same
website of this exam paper on Blackboard.

PART I --- True/False (15 marks = 1.5 marks each × 10)

Read the following statements and mark them either True or False for each of the statements.

1) A product exhibiting high quality of performance must have high degree of uniformity
and dependability.
2) Both quality of design and ideas for innovation come from customer’s needs
3) A product with defects is nonconforming.
4) Quality control is mainly concerned with quality of conformance.
5) S-chart is used to reduce the impact of extreme values in each subgroup on the variability
of the subgroup statistics.
6) Out-of-control patterns in a p-chart are identical to the out-of-control patterns in the
associated np-chart.
7) Control charts are designed on the assumption that the data are truly random. Out-of-
control patterns identify some of the data points in a control chart which do not display
the expected random nature.
8) From quality consciousness perspective, attribute control charts are mainly used for
defective prevention whereas variables control charts are used for further improvement
of process.
9) Using median instead of average in plotting I-MR chart is to reduce the effects from
extreme data.
10) Quality control is completed once all special causes of variation are fixed and the process
is stabilized.

PART II --- Explanation (20 marks = 5 marks each × 4)

1) Explain briefly the difference between variance of individual units and variance of
subgroup statistic.
2) Explain similarity and difference between p-chart and u-chart.
Page 2 of 4
3) Estimate the proportion of data falling in zone B in a stable process and explain why.
4) Explain briefly the difference between customer specification limits and upper lower
control limits of a control chart.
5) Explain briefly the similarity and difference between histogram and bar chart.

PART III --- Calculation (65 marks)

1. (17 marks) A large publisher counts the number of keyboard errors that make their way
into finished books. The number of errors and the number of pages in the past 26
publications are (see BOOK ):

(a) (5 marks) Construct a control chart for these data.
(b) (5 marks) Are there any indications of a lack of control? For which books?
(c) (7 marks) Reconstruct the control chart after removing all data points which go
beyond the control limits. Is the control chart stable? Why?

2. (13 marks) A firm manufactures high-voltage capacitor film for the electronics industry.
They are concerned with the yield on a slitter process that produces reels of film. Reels
that are nonconforming must be scrapped. Reels were sampled and inspected each week
for 30 weeks (see REELS). The number of reels of film in each sample, number of scrap
reels, and proportion of scrap reels are as follows:

(a) (7 marks) Construct an appropriate control chart.
(b) (6 marks) Is the process in a state of control? Why?

3. (20 marks) The house keeping staff in a large resort hotel cleans and prepares all of the
guest-rooms daily. In an effort to improve service through reducing variation in the time
required to clean and prepare a room, a series of measurements is taken of the times to
service rooms in one section of the hotel. The cleaning times for five rooms for 25
consecutive days are recorded in minutes in the Minitab file HOTEL.

(a) (5 marks) Construct an appropriate control chart for the data using the measurements
of five rooms each day as subgroup. Discuss your findings.
(b) (8 marks) Construct a proper control chart for the data using the measurements of
five consecutive days of each room as a subgroup. Discuss your findings. Hint: sort
out the data in the order of room and day first and then do further sorting.
(c) (7 marks) Construct a control chart for each room with subgroup size of 5 and discuss
your findings.

4. (15 marks) A small independent public water utility in the San Francisco area monitored
daily usage of water (1 unit = 748,000 gallons) for a period of 10 weeks (Monday to
Friday only) during September, October and November in a recent year. See WATER
for the data. Records show that on day 5 a water main broke and a major leak occurred.
No other anomalies were recorded.
Page 3 of 4
(a) (5 marks) Construct an appropriate control chart for the given data. Is the process in
control? When does out-of-control behaviour occur?
(b) (10 marks) Use proper formulae to compute the upper control limit and upper zone
boundary between zone A and zone B after the control chart is stabilized and compare
your answers with the results from Minitab.

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FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 MATH 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CS 333 CP1406 KIT308 Economics 701 ECON3740 ECE 5759 BFC3340 FINC2012 COMP4500 MATH3871 FIT3080 18-819C Economic ECO202Y5Y PHY100 FINC-780 Econ 100B EC602 IE582 EE450 COMP9517 WRDS 150B ECON 570 LECTURE 2 ECA5101 ECE 4420 ADAD9311 FIT3031 CS 544 MF 703 CS 6140 KIT501 ENGSCI 344 CSC171 IE 332 FINM8007 21S2 COSC 1114 FE545 E471 SIT102 CSC108 MAT301 IAE 101 COP3503 STAT2004 EC 303 CS1026 STAT1203 MATH3171 ISOM5160 IFN657 FIT2014 ACCT2102 DSCI550 STATS 330 ELEC421 COMP3670 QBUS6840 MEES:698B MAST30027 MIET1077 Economics IFT 6758 FIT5122 BUSN5101 CptS 111 HRMT5502 Math2018 PP 312 INFS3200 CZ3005 CSSE1001 SENG 2011 MKTG 553Q BUFN 640 COMP507 ETF5952 DATA 311 ECE4043 BANK3011 finance M3H623544 HW1 INFS 7410 AI6103 STAT3888 INFS3208 ACCT7103 ECOS3013 PSYCH 20B F79MA STAT3006 ENGG952 2X MGSC 7000 ECE4132 MSF 526 MATH 3033 CDS 511 EEEE4120 EEET2465 ECA5103 MATH2070 ELEC3104 BU51019 EEE8147 ENGR20003 COSC 1107 ETF3200 FNCE 435 MSFI 435 ISyE6420 GENG4405 HW ETC5523 IE 7315 MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A PHIL2617 PHYS3116 MIE250 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