Verifying Functionality: Maximizing Value of the Firm (MVF)

Tang, Victor; Otto, Kevin; Seering, Warren

doi:10.1007/978-3-319-63026-7_5

Victor Tang⁴,
Kevin Otto⁵ &
Warren Seering⁶

Part of the book series: Contributions to Management Science ((MANAGEMENT SC.))

463 Accesses

Abstract

Macro-economists cannot expect governments or central banks to use them as test objects for their theories. Likewise, we cannot expect firms to submit themselves as test subjects to verify the functionality of our prescriptive paradigm. Therefore we simulate with a surrogate of a real company. The surrogate is system dynamics model of ADI, a high technology electronics firm. The model has over 620 equations to represent ADI’s operational behavior of its functional areas and the firm’s interactions with its external environment. The model’s documentation covers over 400 pages. This chapter models the decision to Maximize the Value of Firm (MVF). The goal is to shield ADI from “vulture hunters”. High market value will make it costly to buy control of the firm. As such, MVF is directed at forces exterior of ADI. Best effort has been made to attach the data for the simulations as appendices and all the calculations are shown and illustrated.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Notes

1.
IC yield and manufacturing yield are used interchangeably.

References

AIAG. (2002). Measurement systems analysis (MSA). Reference Manual (3rd ed.). Troy: The Automotive Industries Action Group.
Google Scholar
Anderson, J. C., & Narus, J. A. (1999). Business market management: Teaching business market management. Upper Saddle, NJ: Prentice Hall.
Google Scholar
Bar-Yam, Y. (1997). Dynamics of complex systems. Reading, MA: Perseus Books.
Google Scholar
Bar-Yam, Y. (Ed.). (2000). Unifying themes in complex systems: Proceedings from the international conference on complex systems. Reading, MA: Perseus Books.
Google Scholar
Borsboom, D., & Markus, K. A. (2013). Truth and evidence in validity theory. Journal of Educational Measurement, 50(1), 110–114.
Article Google Scholar
Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2004). The concept of validity. Psychological Review, 111(4), 1061.
Article Google Scholar
Bradfield, R., Wright, G., Burt, G., Cairns, G., & Van Der Heijden, K. (2005). The origins and evolution of scenario techniques in long range business planning. Futures, 37(8), 795–812.
Article Google Scholar
Brealey, R. A., & Myers, S. C. (2002). Principles of corporate finance. New York: McGraw-Hill.
Google Scholar
Creswell, J. W., & Miller, D. L. (2000). Determining validity in qualitative inquiry. Theory Into Practice, 39(3), 124–130.
Article Google Scholar
Golafshani, N. (2003). Understanding reliability and validity in qualitative research. The Qualitative Report, 8(4), 597–606.
Google Scholar
Hoyle, R. H., Harris, M. J., & Judd, C. M. (2002). Research methods in social relations. New York: Wadsworth.
Google Scholar
Johnson, R. B. (1997). Examining the validity structure of qualitative research. Education, 118(2), 282.
Google Scholar
Kahneman, D., & Tversky, A. (2000). Choices, values, and frames. Cambridge: Cambridge University Press.
Google Scholar
Miller, G. (1956). The magical number seven, plus or minus two: Some limits on our capacity for information processing. Psychological Review, 63(2), 81–97.
Article Google Scholar
Montgomery, D. C. (2001). Design and analysis of experiments. Hoboken, NJ: Wiley.
Google Scholar
Otto, K. N., & Wood, C. (2001). Product design: Techniques in reverse engineering and new product development. Boston: Prentice Hall.
Google Scholar
Pahl, G., & Beitz, W. (1999). Engineering design: A systematic approach. London: Springer.
Google Scholar
Phadke, M. S. (1989). Quality engineering using robust design. Upper Saddle River: Prentice Hall.
Google Scholar
Rittel, H. W., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169.
Article Google Scholar
Simon, H. A. (1997). Models of bounded rationality (Vol. 3). Cambridge: MIT press.
Google Scholar
Simon, H. A. (2001). The sciences of the artificial (3rd ed.). Cambridge: MIT Press.
Google Scholar
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. Boston: Irwin McGraw-Hill.
Google Scholar
Sterman, J. D., Repenning, N. P., & Kofman, F. (1997). Unanticipated side effects of successful quality programs: Exploring a paradox of organizational improvement. Management Science, 13(4), 503–521.
Article Google Scholar
Thompson, J. D. (2004). Organizations in action: Social science bases of administrative theory. Piscataway: Transaction Publishers.
Google Scholar
Van der Heijden, K. (2011). Scenarios: The art of strategic conversation. Chichester: Wiley.
Google Scholar
Wu, C. F. J., & Hamada, M. (2000). Planning, analysis, and parameter design optimization. New York: Wiley.
Google Scholar
Wu, Y., & Wu, A. (2000). Robust design. New York: ASME Press.
Google Scholar
Yin, R. K. (2013). Case study research: Design and methods. Thousand Oaks: Sage.
Google Scholar

Download references

Author information

Authors and Affiliations

Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Victor Tang
Aalto University, Helsinki, Finland
Kevin Otto
Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Warren Seering

Authors

Victor Tang
View author publications
You can also search for this author in PubMed Google Scholar
Kevin Otto
View author publications
You can also search for this author in PubMed Google Scholar
Warren Seering
View author publications
You can also search for this author in PubMed Google Scholar

Appendices

Appendix 5.1 MVF(L₈₁(3⁴,2³+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.1.1 MVF(L₈₁(3⁴,2³+1)) at t = 12

Table 44

Full size table

1.2 Appendix 5.1.2 MVF(L₈₁(3⁴,2³+1)) at t = 18

Table 45

Full size table

1.3 Appendix 5.1.3 MVF(L₈₁(3⁴,2³+1)) at t = 24

Table 46

Full size table

Appendix 5.2 MVF(L₈₁(3⁴,2³+1)) Controllable Variables Statistics

1.1 Appendix 5.2.1 MVF(L₈₁(3⁴,2³+1)) Controllable Variables ANOVA and Residuals at t = 18

Analysis of Variance L₈₁(3⁴,2³+1) MVF t = 18
Source	DF	Seq SS	Adj SS	Adj MS	F	P
r&d	2	10,036	10,036	5018	1154.58	0.000
yield	2	82,533	82,533	41,267	9494.95	0.000
cogs	2	88,669	88,669	44,334	10,200.80	0.000
price	2	275,285	275,285	137,643	31,669.83	0.000
yield*cogs	4	9422	9422	2356	541.99	0.000
yield*price	4	8085	8085	2021	465.04	0.000
cogs*price	4	6492	6492	1623	373.42	0.000
yieldcogsprice	8	2609	2609	326	75.04	0.000
Error	52	226	226	4
Total	80	483,357
S = 2.08475, R-Sq = 99.95%, R-Sq(adj) = 99.93%

1.2 Appendix 5.2.2 MVF(L₈₁(3⁴,2³+1)) Controllable Variables ANOVA and Residuals at t = 24

Analysis of Variance L₈₁(3⁴,2³+1) MVF t = 24
Source	DF	Seq SS	Adj SS	Adj MS	F	P
r&d	2	20,325	20,325	10,162	2078.86	0.000
yield	2	63,088	63,088	31,544	6452.87	0.000
cogs	2	66,048	66,048	33,024	6755.64	0.000
price	2	247,424	247,424	123,712	25,307.32	0.000
yield*cogs	4	25,979	25,979	6495	1328.58	0.000
yield*price	4	24,642	24,642	6161	1260.24	0.000
cogs*price	4	22,971	22,971	5743	1174.75	0.000
yieldcogsprice	8	8240	8240	1030	210.72	0.000
Error	52	254	254	5
Total	80	478,972
S = 2.21097, R-Sq = 99.95%, R-Sq(adj) = 99.92%

Appendix 5.3 MVF(L₈₁(3⁴,2³+1)) Uncontrollable Variables Statistics

1.1 Appendix 5.3.1 Uncontrollable Variables ANOVA Table and Residuals at t = 18

Analysis of Variance for MVF t = 18
Source	DF	Seq SS	Adj SS	Adj MS	F	P
LT growth	1	12,879	12,879	12,879	60.17	0.001
ADI orders	1	171,615	171,615	171,615	801.84	0.000
Competitor	1	63,637	63,637	63,637	297.33	0.000
Error	4	856	856	214
Total	7	248,987
S = 14.6296, R-Sq = 99.66%, R-Sq(adj) = 99.40%

1.2 Appendix 5.3.2 Uncontrollable Variables ANOVA Table and Residuals at t = 24

Analysis of Variance MVF L₈₁(3⁴,2³+1) t = 24 uncontrollable variables
Source	DF	Seq SS	Adj SS	Adj MS	F	P
LT growth	1	29,601	29,601	29,601	60.25	0.001
ADI orders	1	168,167	168,167	168,167	342.28	0.000
Competitor	1	89,059	89,059	89,059	181.27	0.000
Error	4	1965	1965	491
Total	7	288,792
S = 22.1655, R-Sq = 99.32%, R-Sq(adj) = 98.81%

Appendix 5.4 MVF(L₂₇(3⁴⁻¹,2³+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.4.1 MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 12

Table 51

Full size table

1.2 Appendix 5.4.2 MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 18

Table 52

Full size table

1.3 Appendix 5.4.3 MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 24

Table 53

Full size table

Appendix 5.5 MVF(L₂₇(3⁴⁻¹,2³+1)) Controllable Variables Statistics

1.1 Appendix 5.5.1 Controllable Variables ANOVA and Residuals at t = 18

Analysis of Variance for firm value
Source	DF	Seq SS	Adj SS	Adj MS	F	P
r&d	2	4557	4557	2279	5.17	0.019
yield	2	28,165	28,165	14,082	31.95	0.000
cogs	2	29,211	29,211	14,605	33.14	0.000
price	2	92,834	92,834	46,417	105.32	0.000
yield*cogs	2	1743	1743	871	1.98	0.171
Error	16	7051	7051	441
Total	26	163,561
S = 20.9931, R-Sq = 95.69%, R-Sq(adj) = 92.99%

1.2 Appendix 5.5.2 Controllable Variables ANOVA and Residuals at t = 24

Analysis of Variance for firm value MVF(L₂₇) t = 24
Source	DF	Seq SS	Adj SS	Adj MS	F	P
r&d	2	9199	9199	4599	3.26	0.065
yield	2	20,765	20,765	10,383	7.37	0.005
cogs	2	22,106	22,106	11,053	7.85	0.004
price	2	82,669	82,669	41,335	29.34	0.000
yield*cogs	2	4803	4803	2402	1.70	0.213
Error	16	22,542	22,542	1409
Total	26	162,085
S = 37.5350, R-Sq = 86.09%, R-Sq(adj) = 77.40%

Appendix 5.6 MVF(L₂₇(3⁴⁻¹,2³+1)) Uncontrollable Variables Statistics

1.1 Appendix 5.6.1 Uncontrollable Variables: Table and Residuals Graph at t = 18

Analysis of Variance for MVF(L₂₇) t = 18
Source	DF	Seq SS	Adj SS	Adj MS	F	P
LT growth	1	12,831	12,831	12,831	60.02	0.001
ADI orders	1	171,516	171,516	171,516	802.31	0.000
Competitor	1	63,468	63,468	63,468	296.89	0.000
Error	4	855	855	214
Total	7	248,670
S = 14.6211, R-Sq = 99.66%, R-Sq(adj) = 99.40%

1.2 Appendix 5.6.2 Uncontrollable Variables: Table and Residuals Graph at t = 24

Analysis of Variance for MVF(L₂₇) t = 24
Source	DF	Seq SS	Adj SS	Adj MS	F	P
LT growth	1	29,440	29,440	29,440	60.77	0.001
ADI orders	1	168,536	168,536	168,536	347.87	0.000
Competitor	1	89,094	89,094	89,094	183.89	0.000
Error	4	1938	1938	484
Total	7	289,008
S = 22.0111, R-Sq = 99.33%, R-Sq(adj) = 98.83%

Appendix 5.7 MVF(L₂₇(3⁴⁻¹,2³+1)) Experiment Responses: Means and Standard Deviations

1.1 Appendix 5.7.1 Response Tables MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 18

Response Table for Means
Level	r&d	yield	cogs	price
1	863.0	805.1	884.1	767.9
2	843.0	848.4	849.7	860.2
3	831.5	884.1	803.8	909.4
Delta	31.5	79.0	80.3	141.5
Rank	4	3	2	1

Response Table for Standard Deviations
Level	r&d	yield	cogs	price
1	185.6	181.2	178.7	179.5
2	180.3	181.2	181.0	179.9
3	174.9	178.4	181.1	181.4
Delta	10.7	2.8	2.4	1.9
Rank	1	2	3	4

1.2 Appendix 5.7.2 Response Tables MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 24

Response Table for Means
Level	r&d	yield	cogs	price
1	759.8	698.3	765.6	659.8
2	729.8	741.4	742.7	754.0
3	715.5	765.4	696.8	791.3
Delta	44.3	67.0	68.8	131.5
Rank	4	3	2	1

Response Table for Standard Deviations
Level	r&d	yield	cogs	price
1	208.9	204.6	189.1	205.2
2	196.6	198.3	198.4	196.6
3	187.8	190.3	205.7	191.4
Delta	21.1	14.3	16.5	13.8
Rank	1	3	2	4

Appendix 5.8 MVF(L₂₇(3⁴⁻¹,2³+1)) Plots: Means and Std. Dev.

1.1 Appendix 5.8.1 Plots: Means and Standard Deviations at t = 18

1.2 Appendix 5.8.2 Plots: Means and Standard Deviations at t = 24

Appendix 5.9 MVF(L₉(3⁴⁻¹,2³+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.9.1 MVF(L₉(3⁴⁻¹,2³+1)) at t = 12

Table 60

Full size table

1.2 Appendix 5.9.2 MVF(L₉(3⁴⁻¹,2³+1)) at t = 18

Table 61

Full size table

1.3 Appendix 5.9.3 MVF(L₉(3⁴⁻¹,2³+1)) at t = 24

Table 62

Full size table

Appendix 5.10 MVF(L₉(3⁴,2³+1)) Controllable Variables Statistics

1.1 Appendix 5.10.1 Controllable Variables ANOVA Table and Residuals at t = 18

Source	DF	Seq SS	Adj SS	Adj MS	F	P
r&d	2	3276.7	3775.4	1887.7	18.13	0.052
yield	2	5835.3	6479.2	3239.6	31.12	0.031
cogs	2	9537.0	13,094.5	6547.2	62.89	0.016
price	2	31,861.2	31,861.2	15,930.6	153.02	0.006
Error	2	208.2	208.2	104.1
Total	10	50,718.4
S = 10.2033, R-Sq = 99.59%, R-Sq(adj) = 97.95%

1.2 Appendix 5.10.2 Controllable Variables ANOVA Table and Residuals at t = 24

Analysis of Variance for firm value 24
Source	DF	Seq SS	Adj SS	Adj MS	F	P
r&d	2	8536.5	9182.5	4591.2	12.29	0.075
yield	2	3895.9	4370.6	2185.3	5.85	0.146
cogs	2	10,892.8	14,255.3	7127.6	19.09	0.050
price	2	27,518.3	27,518.3	13,759.1	36.84	0.026
Error	2	746.9	746.9	373.5
Total	10	51,590.4
S = 19.3251, R-Sq = 98.55%, R-Sq(adj) = 92.76%

Appendix 5.11 ANOVA L₉(3⁴⁻²,2³+1) Uncontrollable Variables Statistics

1.1 Appendix 5.11.1 Uncontrollable Variables ANOVA and Residuals at t = 18

Analysis of Variance for MVF t = 18, using Adjusted SS for Tests
Source	DF	Seq SS	Adj SS	Adj MS	F	P
LT growth	1	13,177	13,177	13,177	57.34	0.002
ADI orders	1	171,735	171,735	171,735	747.27	0.000
Competitor	1	63,271	63,271	63,271	275.31	0.000
Error	4	919	919	230
Total	7	249,102
S = 15.1597, R-Sq = 99.63%, R-Sq(adj) = 99.35%

1.2 Appendix 5.11.2 Uncontrollable Variables ANOVA and Residuals at t = 24

Analysis of Variance for MVF
Source	DF	Seq SS	Adj SS	Adj MS	F	P
LT growth	1	30,330	30,330	30,330	57.35	0.002
ADI orders	1	169,396	169,396	169,396	320.31	0.000
Competitor	1	89,062	89,062	89,062	168.41	0.000
Error	4	2115	2115	529
Total	7	290,904
S = 22.9966, R-Sq = 99.27%, R-Sq(adj) = 98.73%

Appendix 5.12 MVF(L₉(3⁴⁻¹,2³+1)) Response Means and Standard Deviations

1.1 Appendix 5.12.1 Tables: Means and Standard Deviations at t = 18

Response Table for Means
Level	r&d	yield	cogs	price
1	868.1	811.5	878.7	771.4
2	835.2	838.8	855.3	846.2
3	823.2	876.1	792.5	908.9
Delta	44.9	64.6	86.2	137.5
Rank	4	3	2	1

Response Table for Standard Deviations
Level	r&d	yield	cogs	price
1	187.9	182.9	178.8	181.2
2	179.4	178.1	182.8	178.2
3	174.2	180.6	180.0	182.2
Delta	13.7	4.8	4.0	4.0
Rank	1	2	4	3

1.2 Appendix 5.12.2 Tables: Means and Standard Deviations at t = 24

Response Table for Means
Level	r&d	yield	cogs	price
1	772.8	709.6	760.5	669.2
2	720.6	724.0	758.1	733.9
3	704.5	764.4	679.4	794.8
Delta	68.3	54.8	81.1	125.5
Rank	3	4	2	1

Response Table for Standard Deviations
Level	r&d	yield	cogs	price
1	210.2	207.1	192.9	208.9
2	196.7	196.0	197.0	195.6
3	189.0	192.8	206.0	191.5
Delta	21.2	14.3	13.2	17.4
Rank	1	3	4	2

1.3 Appendix 5.12.3 Graphs: Means and Standard Deviations at t = 18

1.4 Appendix 5.12.4 Graphs: Means and Standard Deviations at t = 24

Rights and permissions

Reprints and permissions

Copyright information

About this chapter

Cite this chapter

Tang, V., Otto, K., Seering, W. (2018). Verifying Functionality: Maximizing Value of the Firm (MVF). In: Executive Decision Synthesis. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-319-63026-7_5

Download citation

DOI: https://doi.org/10.1007/978-3-319-63026-7_5
Published: 01 September 2018
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63024-3
Online ISBN: 978-3-319-63026-7
eBook Packages: Business and ManagementBusiness and Management (R0)

Publish with us

Policies and ethics

Verifying Functionality: Maximizing Value of the Firm (MVF)

Abstract

Access this chapter

Notes

References

Author information

Authors and Affiliations

Appendices

Appendix 5.1 MVF(L81(34,23+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.1.1 MVF(L81(34,23+1)) at t = 12

1.2 Appendix 5.1.2 MVF(L81(34,23+1)) at t = 18

1.3 Appendix 5.1.3 MVF(L81(34,23+1)) at t = 24

Appendix 5.2 MVF(L81(34,23+1)) Controllable Variables Statistics

1.1 Appendix 5.2.1 MVF(L81(34,23+1)) Controllable Variables ANOVA and Residuals at t = 18

1.2 Appendix 5.2.2 MVF(L81(34,23+1)) Controllable Variables ANOVA and Residuals at t = 24

Appendix 5.3 MVF(L81(34,23+1)) Uncontrollable Variables Statistics

1.1 Appendix 5.3.1 Uncontrollable Variables ANOVA Table and Residuals at t = 18

1.2 Appendix 5.3.2 Uncontrollable Variables ANOVA Table and Residuals at t = 24

Appendix 5.4 MVF(L27(34−1,23+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.4.1 MVF(L27(34−1,23+1)) at t = 12

1.2 Appendix 5.4.2 MVF(L27(34−1,23+1)) at t = 18

1.3 Appendix 5.4.3 MVF(L27(34−1,23+1)) at t = 24

Appendix 5.5 MVF(L27(34−1,23+1)) Controllable Variables Statistics

1.1 Appendix 5.5.1 Controllable Variables ANOVA and Residuals at t = 18

1.2 Appendix 5.5.2 Controllable Variables ANOVA and Residuals at t = 24

Appendix 5.6 MVF(L27(34−1,23+1)) Uncontrollable Variables Statistics

1.1 Appendix 5.6.1 Uncontrollable Variables: Table and Residuals Graph at t = 18

1.2 Appendix 5.6.2 Uncontrollable Variables: Table and Residuals Graph at t = 24

Appendix 5.7 MVF(L27(34−1,23+1)) Experiment Responses: Means and Standard Deviations

1.1 Appendix 5.7.1 Response Tables MVF(L27(34−1,23+1)) at t = 18

1.2 Appendix 5.7.2 Response Tables MVF(L27(34−1,23+1)) at t = 24

Appendix 5.8 MVF(L27(34−1,23+1)) Plots: Means and Std. Dev.

1.1 Appendix 5.8.1 Plots: Means and Standard Deviations at t = 18

1.2 Appendix 5.8.2 Plots: Means and Standard Deviations at t = 24

Appendix 5.9 MVF(L9(34−1,23+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.9.1 MVF(L9(34−1,23+1)) at t = 12

1.2 Appendix 5.9.2 MVF(L9(34−1,23+1)) at t = 18

1.3 Appendix 5.9.3 MVF(L9(34−1,23+1)) at t = 24

Appendix 5.10 MVF(L9(34,23+1)) Controllable Variables Statistics

1.1 Appendix 5.10.1 Controllable Variables ANOVA Table and Residuals at t = 18

1.2 Appendix 5.10.2 Controllable Variables ANOVA Table and Residuals at t = 24

Appendix 5.11 ANOVA L9(34−2,23+1) Uncontrollable Variables Statistics

1.1 Appendix 5.11.1 Uncontrollable Variables ANOVA and Residuals at t = 18

1.2 Appendix 5.11.2 Uncontrollable Variables ANOVA and Residuals at t = 24

Appendix 5.12 MVF(L9(34−1,23+1)) Response Means and Standard Deviations

1.1 Appendix 5.12.1 Tables: Means and Standard Deviations at t = 18

1.2 Appendix 5.12.2 Tables: Means and Standard Deviations at t = 24

1.3 Appendix 5.12.3 Graphs: Means and Standard Deviations at t = 18

1.4 Appendix 5.12.4 Graphs: Means and Standard Deviations at t = 24

Rights and permissions

Copyright information

About this chapter

Cite this chapter

Download citation

Share this chapter

Publish with us

Search

Navigation

Appendix 5.1 MVF(L₈₁(3⁴,2³+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.1.1 MVF(L₈₁(3⁴,2³+1)) at t = 12

1.2 Appendix 5.1.2 MVF(L₈₁(3⁴,2³+1)) at t = 18

1.3 Appendix 5.1.3 MVF(L₈₁(3⁴,2³+1)) at t = 24

Appendix 5.2 MVF(L₈₁(3⁴,2³+1)) Controllable Variables Statistics

1.1 Appendix 5.2.1 MVF(L₈₁(3⁴,2³+1)) Controllable Variables ANOVA and Residuals at t = 18

1.2 Appendix 5.2.2 MVF(L₈₁(3⁴,2³+1)) Controllable Variables ANOVA and Residuals at t = 24

Appendix 5.3 MVF(L₈₁(3⁴,2³+1)) Uncontrollable Variables Statistics

Appendix 5.4 MVF(L₂₇(3⁴⁻¹,2³+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.4.1 MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 12

1.2 Appendix 5.4.2 MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 18

1.3 Appendix 5.4.3 MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 24

Appendix 5.5 MVF(L₂₇(3⁴⁻¹,2³+1)) Controllable Variables Statistics

Appendix 5.6 MVF(L₂₇(3⁴⁻¹,2³+1)) Uncontrollable Variables Statistics

Appendix 5.7 MVF(L₂₇(3⁴⁻¹,2³+1)) Experiment Responses: Means and Standard Deviations

1.1 Appendix 5.7.1 Response Tables MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 18

1.2 Appendix 5.7.2 Response Tables MVF(L₂₇(3⁴⁻¹,2³+1)) at t = 24

Appendix 5.8 MVF(L₂₇(3⁴⁻¹,2³+1)) Plots: Means and Std. Dev.

Appendix 5.9 MVF(L₉(3⁴⁻¹,2³+1)) Experiment Data Under Uncertainty Regimes

1.1 Appendix 5.9.1 MVF(L₉(3⁴⁻¹,2³+1)) at t = 12

1.2 Appendix 5.9.2 MVF(L₉(3⁴⁻¹,2³+1)) at t = 18

1.3 Appendix 5.9.3 MVF(L₉(3⁴⁻¹,2³+1)) at t = 24

Appendix 5.10 MVF(L₉(3⁴,2³+1)) Controllable Variables Statistics

Appendix 5.11 ANOVA L₉(3⁴⁻²,2³+1) Uncontrollable Variables Statistics

Appendix 5.12 MVF(L₉(3⁴⁻¹,2³+1)) Response Means and Standard Deviations