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Soltani Mohyiddine
Analysis of competitiveness level
by using Six Sigma approach
SAMMARY
What is Six Sigma
History of six Sigma
Objective of Six Sigma
Competitiveness evaluation
Example 1
Example 2
Conclusion
References
Quality assessment
What is Six Sigma ?
Six
Sigma
it is an improvement
approach to reduce the
variation in processes.
it is an enhancement
strategy that seeks to
identify and eliminate
the causes of errors.
it is a statistical measure
that describes the process
performance.
it is an organized Approach
to Strategic Manufacturing
Process Improvement in
order to achieve a world-
class of quality.
History of Six Sigma ?
1986
Was developed by
Motorola company
1988
Motorola becomes
the first company
to win the MBNQA
1993
Allied Signal
adopted Six Sigma
1995
General Electric
(GE) launched the
Six Sigma initiative
1998
Allied Signal
adopted Six Sigma
Assess and control the quality level
Reduce the variation in processes
Ensure the costumer satisfaction
lead to the world class of quality
2
3
4
1
Objective of Six Sigma
Six Sigma approach
aims to
DPU
β€’ Defect Per opportunity is a measurement representing the average
number of defects that occur with each product unit.
β€’ π·π‘ƒπ‘ˆ =
NB of defects
NB of units
DPO
β€’ DPO is a ratio between the total number of defects and the total
possible opportunities that a defect could occur
β€’ π·π‘ƒπ‘ˆ =
NB of defects
NB of units Γ— 𝑁𝐡 π‘œπ‘“ 𝑑𝑒𝑓𝑒𝑐𝑑𝑠 π‘œπ‘π‘π‘œπ‘Ÿπ‘‘π‘’π‘›π‘–π‘‘π‘–π‘’π‘  π‘ƒπ‘’π‘Ÿ π‘ˆπ‘›π‘–π‘‘
Quality assessment
Yield
β€’ Yield is the ratio of number of acceptable units after production
over number of units that enters production.
β€’ π‘Œπ‘–π‘’π‘™π‘‘ =
NB of π‘Žπ‘π‘π‘’π‘π‘‘π‘Žπ‘π‘™π‘’ 𝑒𝑛𝑖𝑑𝑠
units π‘’π‘›π‘‘π‘Ÿπ‘–π‘›π‘” π‘π‘Ÿπ‘œπ‘‘π‘’π‘π‘‘π‘–π‘œπ‘›
Throughput
Yield
β€’ Throughput Yield is a Six Sigma metric indicating the ability of the
process to produce conform units.
β€’ Throughput Yield = 1 βˆ’ π·π‘ƒπ‘ˆ π‘œπ‘Ÿ Throughput Yield = π‘’βˆ’π·π‘ƒπ‘ˆ
Quality assessment
DPMO
β€’expresses the proportion of defects over the
total number of opportunities in a data set
Sigma Level
β€’Presents a key factor that used to determine
the competitive situation of firms
Quality assessment
DPMO + SIGMA
DPO
DPO
DPMO
Sigma
level
Yield
RTY
Evaluate the competitiveness of the
manufacturing process
Competitiveness evaluation
DPMO
Weight Γ—
Weighted DPMO
Assess the level of
quality based on other
criteria
Detect the criteria affect
the competitiveness
Enhahe estimation rate
of nce tthe quality level
The conventional competitiveness
assessment is based on
Production
costs
Quality of
product
Costumer
satisfaction
Availability
of product
Competitiveness evaluation
Sigma level class DPMO
6 Word class 3,4
5 230
4 Middle class 6200
3 67000
2 Non competitive 310000
1 700000
Weighted Sigma
Level
Calculate DPMO
DPMO= (w*ND)/106
DPMO =
(w*DPO)*106
Sigma level=
1,5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(1 βˆ’
𝐷𝑃𝑀𝑂)
Calculate DPO
DPO= ND/(NU*Op)
Method 1 Method 2
Classification
Competitiveness evaluation
Weighted Sigma Level
Method 1 Method 2
Found the exact value of sigma level
Monitor the variation of sigma level
Detect the enhancement and the
degradation in real time
Simple to use
Just generate the final classification
Found the exact value of DPMO
VS
Competitiveness evaluation
Weighted DPMO existing in
literature
Soltani et
al (2020)
Aouag et
al (2015)
Weighted DPMO based on
the costs of poor quality
(CPQ)
π‘Ύπ’Š =
π‘ͺπ‘·π‘Έπ’Š
π’Š=𝟏
𝒏
π‘ͺπ‘·π‘Έπ’Š
Weighted DPMO based on
Life Cycle Cost (LCC)
π‘Ύπ’Š =
𝑳π‘ͺπ‘ͺπ’Š
π’Š=𝟏
𝒏
𝑳π‘ͺπ‘ͺπ’Š
Competitiveness evaluation
οƒ˜Example (method 1)
β€’ A company XYZ that produces a product A based on four operations
β€’ Based on the weighting approach of Aouag et al (2015), the weights
are as follows:
1 4
2 3
CPQ
57,16
CPQ
169,66
CPQ
108,93
CPQ
70,43
442355 414252 385919
ND: 855 ND: 1241 ND: 2064 ND: 285
440451
Example 1
π‘ŠπΌ =
π‘ͺπ‘·π‘Έπ’Š
π’Š=𝟏
𝒏
π‘ͺπ‘·π‘Έπ’Š
= (𝑂𝑃1 = 0.1407, 𝑂𝑃2 = 0.4177, 𝑂𝑃3 = 0.2688, 𝑂𝑃4 = 0.1734)
𝐷𝑃𝑀𝑂=βˆ‘(ND𝑖)/106
𝐷𝑃𝑀𝑂 = (855+1241+2064+285) /106
.
𝐷𝑃𝑀𝑂 =0.004445.
Sigma level is calculated as follows:
𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(1 βˆ’ 0.004445).
𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(0.99555).
𝑍 =3.52.
𝐷𝑃𝑀𝑂=βˆ‘(π‘Šπ‘– Γ— ND𝑖)/106
𝐷𝑃𝑀𝑂 = (0,1407Γ—855+0,4177Γ—1241+0,2682Γ—2064+0,1734Γ—285) /106
.
𝐷𝑃𝑀𝑂 =0.00124163.
Sigma level is calculated as follows:
𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(1 βˆ’ 0.00124163).
𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(0.99876).
𝑍 =4.52.
Conventional Sigma Level
Weighted Sigma Level
Example 1
The weighted sigma level is greater than the conventional sigma
level
Both of results indicates that the company belongs to the middle
class
The obtained weights show that the operation 2 is the critical part
in the manufacturing process with a weight of 0,4177
It doesn't means the weighting approach enhance the
estimation rate
It means that in this company, the quality level based
cost approach is better than conventional quality level
interpretation
Example 1
β€’ Example 2 (method 2)
β€’ A company XYZ that produce a product A based on four operations
β€’ Remarque: there are three opportunities (OP) of defects
1 4
2 3
LCC
1574
LCC
8223
LCC
244,5
LCC
131
606 577 563
ND: 19 ND: 29 ND: 14 ND: 0
625
5
6
7
8
LCC
2134
LCC
23,6
LCC
496
LCC
1500 ND: 0 ND: 6 ND: 0 ND: 17
576
576
570
Example 2
β€’ Based on the weighting approach of Soltani et al (2020), the weights
are as follows:
π‘ŠπΌ =
𝑳π‘ͺπ‘ͺπ’Š
π’Š=𝟏
𝒏
𝑳π‘ͺπ‘ͺπ’Š
= (𝑂𝑃1 = 0.11, 𝑂𝑃2 = 0.574, 𝑂𝑃3 = 0.0171, 𝑂𝑃4 = 0.0092, 𝑂𝑃5 = 0.149,
𝑂𝑃6 = 0.0016, 𝑂𝑃7 = 0.0346, 𝑂𝑃8 = 0,1047)
π·π‘ƒπ‘€π‘‚π‘œπ‘‘π‘Žπ‘™= βˆ‘(π‘Šπ‘– Γ— DPO) Γ— 106
𝐷𝑃𝑀𝑂 = (0,1100 Γ— 0,0304 + 0,5740 Γ— 0,0239
+ 0,0171 Γ— 0,0122 + 0,0092 Γ— 0 + 0,1490 Γ—
0,0101 + 0,0016 Γ— 0 + 0,0346 Γ— 0,0110 +
0,1047 Γ— 0) Γ— 106.
π·π‘ƒπ‘€π‘‚π‘‡π‘œπ‘‘π‘Žπ‘™ = 19160,33.
𝐷𝑃𝑀𝑂= (DPOπ‘‡π‘œπ‘‘π‘Žπ‘™) Γ—106
𝐷𝑃𝑀𝑂 = (
85
625Γ—3
) Γ— 106 .
π·π‘ƒπ‘€π‘‚π‘‡π‘œπ‘‘π‘Žπ‘™ = 45333,33.
Conventional DPMO
Weighted DPMO
Example 2
the value of weighted DPMO is equal to 19160,33. (230 <
19160.33 <67000). Please see the above table,
The value of the conventional DPMO is obtained as 45333,33.
(230 < 45333,33 <67000). Please see the above table,
Both approaches indicates that the manufacturing process
belongs to the middle class
interpretation
Example 2
Conclusion
Six Sigma approach aims to reduce variations in a
manufacturing process to ensure product quality,
increase the level of customer satisfaction
Six sigma approach has applied in various sector
(industry, services…) and achieved a satisfactory
findings
Six Sigma approach offers
various indicators that used to
assess and control the quality
of products
Six Sigma approach provide
the ability to underline the
position of the company in
the world of industry
conclusion
οƒ˜References
β€’ Soltani, M., Aouag, H., & Mouss, M. D. (2020). Enhancement of the
competitiveness and the financial capability of a manufacturing
process through a new value stream mapping approach. International
Journal of Productivity and Quality Management, 29(4), 439-453.
β€’ Aouag, H., Kobi, A., & Mechenene, A. (2015). Analysis of
competitiveness level in an industrial company using a continuous
improvement-based approach. International Journal of Six Sigma and
Competitive Advantage, 9(2-4), 87-108
References
Thank
you
E-mail: soltani.mohyiddine@gmail.com
Adress : el riadh city Batna
Web site: www.researchgate.net/profile/Soltani-Mohyiddine

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Analysis of competitiveness .pptx

  • 1. Soltani Mohyiddine Analysis of competitiveness level by using Six Sigma approach
  • 2. SAMMARY What is Six Sigma History of six Sigma Objective of Six Sigma Competitiveness evaluation Example 1 Example 2 Conclusion References Quality assessment
  • 3. What is Six Sigma ? Six Sigma it is an improvement approach to reduce the variation in processes. it is an enhancement strategy that seeks to identify and eliminate the causes of errors. it is a statistical measure that describes the process performance. it is an organized Approach to Strategic Manufacturing Process Improvement in order to achieve a world- class of quality.
  • 4. History of Six Sigma ? 1986 Was developed by Motorola company 1988 Motorola becomes the first company to win the MBNQA 1993 Allied Signal adopted Six Sigma 1995 General Electric (GE) launched the Six Sigma initiative 1998 Allied Signal adopted Six Sigma
  • 5. Assess and control the quality level Reduce the variation in processes Ensure the costumer satisfaction lead to the world class of quality 2 3 4 1 Objective of Six Sigma Six Sigma approach aims to
  • 6. DPU β€’ Defect Per opportunity is a measurement representing the average number of defects that occur with each product unit. β€’ π·π‘ƒπ‘ˆ = NB of defects NB of units DPO β€’ DPO is a ratio between the total number of defects and the total possible opportunities that a defect could occur β€’ π·π‘ƒπ‘ˆ = NB of defects NB of units Γ— 𝑁𝐡 π‘œπ‘“ 𝑑𝑒𝑓𝑒𝑐𝑑𝑠 π‘œπ‘π‘π‘œπ‘Ÿπ‘‘π‘’π‘›π‘–π‘‘π‘–π‘’π‘  π‘ƒπ‘’π‘Ÿ π‘ˆπ‘›π‘–π‘‘ Quality assessment
  • 7. Yield β€’ Yield is the ratio of number of acceptable units after production over number of units that enters production. β€’ π‘Œπ‘–π‘’π‘™π‘‘ = NB of π‘Žπ‘π‘π‘’π‘π‘‘π‘Žπ‘π‘™π‘’ 𝑒𝑛𝑖𝑑𝑠 units π‘’π‘›π‘‘π‘Ÿπ‘–π‘›π‘” π‘π‘Ÿπ‘œπ‘‘π‘’π‘π‘‘π‘–π‘œπ‘› Throughput Yield β€’ Throughput Yield is a Six Sigma metric indicating the ability of the process to produce conform units. β€’ Throughput Yield = 1 βˆ’ π·π‘ƒπ‘ˆ π‘œπ‘Ÿ Throughput Yield = π‘’βˆ’π·π‘ƒπ‘ˆ Quality assessment
  • 8. DPMO β€’expresses the proportion of defects over the total number of opportunities in a data set Sigma Level β€’Presents a key factor that used to determine the competitive situation of firms Quality assessment
  • 9. DPMO + SIGMA DPO DPO DPMO Sigma level Yield RTY Evaluate the competitiveness of the manufacturing process Competitiveness evaluation
  • 10. DPMO Weight Γ— Weighted DPMO Assess the level of quality based on other criteria Detect the criteria affect the competitiveness Enhahe estimation rate of nce tthe quality level The conventional competitiveness assessment is based on Production costs Quality of product Costumer satisfaction Availability of product Competitiveness evaluation
  • 11. Sigma level class DPMO 6 Word class 3,4 5 230 4 Middle class 6200 3 67000 2 Non competitive 310000 1 700000 Weighted Sigma Level Calculate DPMO DPMO= (w*ND)/106 DPMO = (w*DPO)*106 Sigma level= 1,5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(1 βˆ’ 𝐷𝑃𝑀𝑂) Calculate DPO DPO= ND/(NU*Op) Method 1 Method 2 Classification Competitiveness evaluation
  • 12. Weighted Sigma Level Method 1 Method 2 Found the exact value of sigma level Monitor the variation of sigma level Detect the enhancement and the degradation in real time Simple to use Just generate the final classification Found the exact value of DPMO VS Competitiveness evaluation
  • 13. Weighted DPMO existing in literature Soltani et al (2020) Aouag et al (2015) Weighted DPMO based on the costs of poor quality (CPQ) π‘Ύπ’Š = π‘ͺπ‘·π‘Έπ’Š π’Š=𝟏 𝒏 π‘ͺπ‘·π‘Έπ’Š Weighted DPMO based on Life Cycle Cost (LCC) π‘Ύπ’Š = 𝑳π‘ͺπ‘ͺπ’Š π’Š=𝟏 𝒏 𝑳π‘ͺπ‘ͺπ’Š Competitiveness evaluation
  • 14. οƒ˜Example (method 1) β€’ A company XYZ that produces a product A based on four operations β€’ Based on the weighting approach of Aouag et al (2015), the weights are as follows: 1 4 2 3 CPQ 57,16 CPQ 169,66 CPQ 108,93 CPQ 70,43 442355 414252 385919 ND: 855 ND: 1241 ND: 2064 ND: 285 440451 Example 1 π‘ŠπΌ = π‘ͺπ‘·π‘Έπ’Š π’Š=𝟏 𝒏 π‘ͺπ‘·π‘Έπ’Š = (𝑂𝑃1 = 0.1407, 𝑂𝑃2 = 0.4177, 𝑂𝑃3 = 0.2688, 𝑂𝑃4 = 0.1734)
  • 15. 𝐷𝑃𝑀𝑂=βˆ‘(ND𝑖)/106 𝐷𝑃𝑀𝑂 = (855+1241+2064+285) /106 . 𝐷𝑃𝑀𝑂 =0.004445. Sigma level is calculated as follows: 𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(1 βˆ’ 0.004445). 𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(0.99555). 𝑍 =3.52. 𝐷𝑃𝑀𝑂=βˆ‘(π‘Šπ‘– Γ— ND𝑖)/106 𝐷𝑃𝑀𝑂 = (0,1407Γ—855+0,4177Γ—1241+0,2682Γ—2064+0,1734Γ—285) /106 . 𝐷𝑃𝑀𝑂 =0.00124163. Sigma level is calculated as follows: 𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(1 βˆ’ 0.00124163). 𝑍 = 1.5 + 𝑁𝑂𝑅𝑀𝑆𝐼𝑁𝑉(0.99876). 𝑍 =4.52. Conventional Sigma Level Weighted Sigma Level Example 1
  • 16. The weighted sigma level is greater than the conventional sigma level Both of results indicates that the company belongs to the middle class The obtained weights show that the operation 2 is the critical part in the manufacturing process with a weight of 0,4177 It doesn't means the weighting approach enhance the estimation rate It means that in this company, the quality level based cost approach is better than conventional quality level interpretation Example 1
  • 17. β€’ Example 2 (method 2) β€’ A company XYZ that produce a product A based on four operations β€’ Remarque: there are three opportunities (OP) of defects 1 4 2 3 LCC 1574 LCC 8223 LCC 244,5 LCC 131 606 577 563 ND: 19 ND: 29 ND: 14 ND: 0 625 5 6 7 8 LCC 2134 LCC 23,6 LCC 496 LCC 1500 ND: 0 ND: 6 ND: 0 ND: 17 576 576 570 Example 2
  • 18. β€’ Based on the weighting approach of Soltani et al (2020), the weights are as follows: π‘ŠπΌ = 𝑳π‘ͺπ‘ͺπ’Š π’Š=𝟏 𝒏 𝑳π‘ͺπ‘ͺπ’Š = (𝑂𝑃1 = 0.11, 𝑂𝑃2 = 0.574, 𝑂𝑃3 = 0.0171, 𝑂𝑃4 = 0.0092, 𝑂𝑃5 = 0.149, 𝑂𝑃6 = 0.0016, 𝑂𝑃7 = 0.0346, 𝑂𝑃8 = 0,1047) π·π‘ƒπ‘€π‘‚π‘œπ‘‘π‘Žπ‘™= βˆ‘(π‘Šπ‘– Γ— DPO) Γ— 106 𝐷𝑃𝑀𝑂 = (0,1100 Γ— 0,0304 + 0,5740 Γ— 0,0239 + 0,0171 Γ— 0,0122 + 0,0092 Γ— 0 + 0,1490 Γ— 0,0101 + 0,0016 Γ— 0 + 0,0346 Γ— 0,0110 + 0,1047 Γ— 0) Γ— 106. π·π‘ƒπ‘€π‘‚π‘‡π‘œπ‘‘π‘Žπ‘™ = 19160,33. 𝐷𝑃𝑀𝑂= (DPOπ‘‡π‘œπ‘‘π‘Žπ‘™) Γ—106 𝐷𝑃𝑀𝑂 = ( 85 625Γ—3 ) Γ— 106 . π·π‘ƒπ‘€π‘‚π‘‡π‘œπ‘‘π‘Žπ‘™ = 45333,33. Conventional DPMO Weighted DPMO Example 2
  • 19. the value of weighted DPMO is equal to 19160,33. (230 < 19160.33 <67000). Please see the above table, The value of the conventional DPMO is obtained as 45333,33. (230 < 45333,33 <67000). Please see the above table, Both approaches indicates that the manufacturing process belongs to the middle class interpretation Example 2
  • 20. Conclusion Six Sigma approach aims to reduce variations in a manufacturing process to ensure product quality, increase the level of customer satisfaction Six sigma approach has applied in various sector (industry, services…) and achieved a satisfactory findings Six Sigma approach offers various indicators that used to assess and control the quality of products Six Sigma approach provide the ability to underline the position of the company in the world of industry conclusion
  • 21. οƒ˜References β€’ Soltani, M., Aouag, H., & Mouss, M. D. (2020). Enhancement of the competitiveness and the financial capability of a manufacturing process through a new value stream mapping approach. International Journal of Productivity and Quality Management, 29(4), 439-453. β€’ Aouag, H., Kobi, A., & Mechenene, A. (2015). Analysis of competitiveness level in an industrial company using a continuous improvement-based approach. International Journal of Six Sigma and Competitive Advantage, 9(2-4), 87-108 References
  • 22. Thank you E-mail: soltani.mohyiddine@gmail.com Adress : el riadh city Batna Web site: www.researchgate.net/profile/Soltani-Mohyiddine