Complete?the?Week 2 Statistical Process Control Methods Worksheet, attached. To begin, measure the entire process over 10-12 periods of time (days, months, years). Use t

This assignment has a grading rubric, attached.

To learn how to apply SPCM to a process, continue the flowchart from Week 1 and identify variances within a process. You can find variances from the data identified in Week 1.

Complete the Week 2 Statistical Process Control Methods Worksheet, attached.

To begin, measure the entire process over 10-12 periods of time (days, months, years). Use time as your Metric.

Create a control chart including the baseline, upper control limits (UCL) and lower control limits (LCL).

NOTE: Feel free to use estimated time when real data is unavailable.

Submit your assignment using the Week 2 Statistical Process Control Methods Worksheet.

You may include your computations and graphs on the work sheet or attach them separately.

Resources

Microsoft® Word, PowerPoint®, Visio®, or Excel®

https://asq.org/quality-resources/control-chart, attached.

For online help in creating a control chart with upper control limits (UCL) and lower control limits (LCL) there are multiple websites that will walk you through the process. Search, How to create Control Charts.

OPS/574 v1

Statistical Process Control Methods

OPS/574 v1

Page 2 of 2

Statistical Process Control Methods

Process Evaluation

Evaluate your process using 1 of the following:

· Use the lean concept to find ways to eliminate waste and improve the process

· SPC or Six Sigma to reduce defects or variances in the process

Evaluation of Control Chart and Process Metrics

Complete the following in Excel:

· Calculate the defined process metrics including variation and process capability.

· Develop and display a control chart for the process.

Evaluate the control chart and process metrics using Statistical Process Control (SPC) methods. Determine whether the process could benefit from the use of Six Sigma, Lean, or other tools. (Include all calculation and charts.)

Executive Summary

Write a 700-word executive summary that includes the following:

· A summary of the Process Evaluation (using either Lean or SPC or Six Sigma)

· A summary of the Evaluation of Control Chart and Process metrics based on SPC methods

· A summary of your evaluation of whether the process would benefit from the use of Six Sigma, Lean, or other tools

· A description of the SPC project and recommendations for improvements

Grading Rubric

image1.png

Data Entry

Quality Tools
	Control Charts
	Description										Individuals Chart
	This template illustrates a Statistical Process Control (SPC) chart. A detailed discussion of SPC charts can be found at www.ASQ.org
	Learn About Statistical Process Control
	Instructions
	●	Select the correct subgroup size. When in doubt, select a subgroup size of one. Partial subgroups are not displayed.
	●	Enter up to 200 data points in the cells provided. Do not enter values in the subgroup column. These cells update automatically to show the subgroup in which the data point is included.
											Moving Range Chart
	●	Identify any out of control conditions. Four tests are performed. Use the legend to identify the points corresponding to a particular test.
	●	If a test looks for a proportion of points, only the offending point will be identified. For example, if eight points in a row are on one side of the centerline only the eighth point will be identified.
	Learn More																	●	If a point fails more than one test, only one color will be displayed.
	To learn more about other quality tools, visit the ASQ Learn About Quality web site.
	Learn About Quality
									Three Sigma Limit				A single point outside the control limits
									Two Sigma Limit				Two of three pts outside the two sigma limit
									One Sigma Limit				Four of Five pts outside the one sigma limit
									Average				Eight in a row on the same side of centerline
	Control Chart Data
			1.424	Xbar/IMR Chart Avg				10.076	Xbar one sigma Upper Limit					17.142	Rbar one sigma Upper Limit
			9.7581	Range Chart Avg				18.728	Xbar two sigma Upper Limit					24.525	Rbar two sigma Upper Limit
			8.650766415	Rbar/d2				27.38	Xbar three sigma Upper Limit					31.909	Rbar three sigma Upper Limit
			125	Number of samples				-7.228	Xbar one sigma Lower Limit					2.3745	Rbar one sigma Lower Limit
			1	Subgroup size				-15.88	Xbar two sigma Lower Limit					n/a	Rbar two sigma Lower Limit
			125	Number of subgroups				-24.53	Xbar three sigma Lower Limit					n/a	Rbar three sigma Lower Limit
		Sub Group	Data	Sub Group	Data	Sub Group	Data	Sub Group	Data	Sub Group	Data	Sub Group	Data	Sub Group	Data	Sub Group	Data
		1	15	26	-5	51	24	76	32	101	18	126		151		176
		2	7	27	12	52	14	77	22	102	8	127		152		177
		3	-2	28	-6	53	10	78	18	103	4	128		153		178
		4	-5	29	-9	54	-4	79	16	104	-2	129		154		179
		5	-10	30	-8	55	-4	80	-4	105	-8	130		155		180
		6	7	31	19	56	12	81	16	106	6	131		156		181
		7	2	32	11	57	4	82	10	107	0	132		157		182
		8	-8	33	6	58	6	83	4	108	-6	133		158		183
		9	-7	34	0	59	0	84	-2	109	-12	134		159		184
		10	-10	35	4	60	-12	85	-8	110	-18	135		160		185
		11	-2	36	24	61	9	86	16	111	12	136		161		186
		12	-7	37	6	62	-7	87	9	112	6	137		162		187
		13	-11	38	6	63	-11	88	1	113	2	138		163		188
		14	-15	39	1	64	-17	89	-6	114	-2	139		164		189
		15	-20	40	-6	65	-22	90	-12	115	-8	140		165		190
		16	-3	41	6	66	15	91	24	116	18	141		166		191
		17	-8	42	-4	67	9	92	18	117	8	142		167		192
		18	-12	43	-5	68	3	93	14	118	4	143		168		193
		19	-18	44	-10	69	-3	94	9	119	-2	144		169		194
		20	-19	45	-12	70	-9	95	-5	120	-8	145		170		195
		21	4	46	23	71	25	96	19	121	10	146		171		196
		22	-3	47	17	72	14	97	13	122	-6	147		172		197
		23	-8	48	11	73	5	98	7	123	-5	148		173		198
		24	-14	49	9	74	2	99	1	124	-7	149		174		199
		25	-19	50	-5	75	-6	100	-5	125	-17	150		175		200

Page &P of &N

Data Entry

-24.5324516129

27.3804516129

1.424

-7.2281505376

10.0761505376

-15.8803010753

18.7283010753

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