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Quality Improvement In Steel
Making Plant UsingSix Sigma DMAIC
Methodology
Ganesh Chouhan, Prof. Tushar N. Desai2 NikunjH. Patel
Department of Mechanical Engg. Department of Mechanical Engg. Department of Mechanical Engg.
VIMAT,Kim,Surat, India, SVNIT Surat, India VIMAT,Kim,Surat, India
ganesh_chouhan31@yahoo.com tushardesaisvnit@gmail.com nikunj_143@yahoo.co.in
Abstract - Sigma has been considered as a philosophy that
employs a well-structured continuous improvement
methodology to reduce process variability and drive out
waste within the business processes using statistical tools and
techniques.Six Sigma is a well-established approach that
seeks to identify and eliminate defects, mistakes or failures
in business processes orsystems by focusing on those process
performance characteristics that are of critical importance
to customers. Six Sigma provides business leaders and
executives with the strategy, methods, tools and techniques
to change their organizations. Six Sigma has been on an
incredible run for the last five years producing significant
savings to the bottom-line of many large manufacturing
organizations.
In every power plant energy is the major factor which drives
the plant components like turbine, condenser, feed pump,
electricity etc. Waste Heat Recovery is a powerful technology
for the manufacturing industry that requires both electricity
and steam/heat in its processes. While the waste heat
recovery project proposed here still uses a fossil fuel, its
benefits come from utilizing an energy source that would
otherwise be dumped to displace process steam produced
from fossil fuel combustion. Generating sets powered by
fossil fuels dominate the supply of turbine and other
components in most energy-intensive manufacturing
industries. Often, energy from the flue gases is not fully
utilized. The heat of the electric arc furnace is cooled by
water at different places. This translates to high equivalent
emissions of greenhouse gases. The use of waste heat
recovery reduces fossil fuel consumption and increase the
efficiency of the plant.
Keywords– Six Sigma Quality, Process Improvement, WHR,
HSM, DMAIC.
I.INTRODUCTION
A.WhatisSix Sigma?
The word is a statistical term that measures how far a
given process deviates from perfection. Six Sigma is
named after the process that has six standard deviations
on each side of the specification window. It is
adisciplined, data-driven approach and methodology for
eliminating defects. The central idea behind Six Sigma is
that if you can measure how many “defects” you have in a
process, you can systematically figure out how to
eliminate them and get as close to “zero defects” as
possible. Six Sigma starts with the application of
statisticalmethods for translating information from
customers into specifications for products or services
being developed or produced. Six Sigma is the business
strategy and a philosophy of one working smarter not
harder.
B. Six SigmaPhilosophy
Six Sigma is a business performance improvement
strategy that aims to reduce the number of
mistakes/defects to as low as 3.4 occasions per million
opportunities. Sigma is a measure of “variation about the
average” in a process which could be in manufacturing
or service industry. Six Sigma improvement drive is the
latest and most effective technique in the quality
engineering and manufacturing spectrum. It enables
organizations to make substantial improvements in their
bottom line by designing and monitoring everyday
business activities in ways which minimizes all types of
wastes and maximizes customer satisfaction. While all
the quality improvement drives are useful in their own
ways.
C. The StatisticalDefinition ofSix Sigma
The objective of driving for Six Sigma performance is to
reduce or narrow variation to such a degree that standard
deviation can be squeezed within the limits defined by the
customer’s specification. That means a potential for
enormous improvement for many products, services and
processes. The statistics associated with Six Sigma are
relatively simple. To define Six Sigma statistically, two
concepts are required: specification limits and the normal
distribution.
Figure1. The sigma and part per million (ppm)
2 SIGMA 3, 08,537 DEFECTS
3 SIGMA 66,803 DEFECTS
4 SIGMA 6,210 DEFECTS
5 SIGMA 233 DEFECTS
6SIGMA 3.4 DEFECTS
SIGMA LEVEL
AND DEFECT
PER
MILLIONOPPO
RTUNITES
II. THE DMAIC SIX SIGMA METHODOLOGY
The DMAIC methodology follows the phases: define,
measure, analyze, improve and control. (Antony
&Banuelas, 2002). Although PDCA could be used for
process improvement, to give a new thrust Six Sigma was
introduced with a modified model i.e. DMAIC.
The methodology is revealed phase wise (Fig. 1) which is
depicted in A, B, C, D and E and is implemented for this
project.
Figure 2.The DMAIC methodology
A. Define Phase
A Steel company is facing the main problem in the
Electric arc furnace due to the waste heat flue gases. The
Effective uses of exhaust gas from electric arc furnace
have not been realized due to very high temperature,
fluctuation phenomenon, dust and splash in it. Hence the
main objective of this project is to utilize the wastage of
off gas in plant. Waste heat is heat, which is generated
in a process by way of fuel combustion or chemical
reaction, and then “dumped” into the environment even
though it could still be reused for some useful and
economic purpose. The essential quality of heat is not
the amount but rather its “value”. The strategy of how to
recover this heat depends in part on the temperature of
the waste heat gases and the economics involved. Large
quantity of hot flue gases is generated from Boilers,
Kilns, Ovens and Furnaces. If some of this waste heat
could be recovered, a considerable amount of primary
fuel could be saved. The energy lost in waste gases
cannot be fully recovered. However, much of the heat
could be recovered and loss minimized by adopting
various measures. The high temperature heat recovery
potential is available in many industries. The high
temperature waste heat available can be utilized for
power generation, utilization of waste heat for heating
of water, air, increase in process temperature etc.
B.Development of a Project Charter
This phase determines the objectives & the scope of the
project, collect information on the process and the
customers, and specify the deliverables to customers
(internal & external).
TABLE-1 PROJECT TEAM CHARTER
III. Basic system design condition data:
This specification covers the preliminary design condition
for off gas heat recovery systemproposed to be installed in
Steel making plant.
Design Condition:- Following condition are specified to
plan the EAF off gas heat recovery systembased on
received data’s.
1) Operating condition
Top to tap time : 60 min.
Arc time : 49 min.
Number of operating EAF : Three out of four operations
2) Gas condition:-
Gas flow rate after: Max.183,026 Nm3 /h(dry)
combustion : Ave. 165,000 Nm3 /h(dry) Gas
temperature : Max. 535 deg C at outlet
of WCD-13
: Ave.338.5 deg C at outlet
of WCD-13
Gas component after : CO2 9.3%
combustion : O2 8.8%
: N2 79.9%
: H2 O 2.0
Project Team Charter
Black Belt Name:
Head – TQM
Facilitation & Industrial
Engineering Deptt.
Champion Name :
GM,Operations
Project Start Date
:October, 2009; Project
Completion Date : May.
, 2010
Project Location : A large
scale manufacturing unit,
Surat, Gujarat, India
Business Case:Quality and productivity improvement
for waste heat recovery powerPlant.
Project Title:Quality and productivity improvement
for waste heat recovery power Plant through Six Sigma
DMAIC (Define, Measure, Analyze, Improve, Control)
methodology.
Team Members : Project student – M. Tech(Mech),
Prof. T. N. Desai, Ganesh Chouhanand employees of the concern.
Stake holders : Employees of TQM Facilitation&
Industrial Engg. Deptt.
Subject Matter : Black Belt of Team,
Experts Head – TQM Facilitation &
IndustrialEnggDeptt., Sr. Managers
Project Milestones:
Define phase : Oct. 1 to Nov. 30, 2009
Measure Phase : Dec. 1 to Jan. 16, 2010
Analyze Phase : Jan. 17 to Mar. 30, 2010
Improve Phase : Mar. 1 to Apr. 30, 2010
Control Phase : Apr. 30 to May. 31, 2010
DEFINE?
MEASURE
ANALYZE
IMPROVE
CONTROL
TABLE-2 FLUE GAS DATA
Item
Water
flow
rate
Nm3 /h
Temperature 0C
Input Output Difference
Fixed elbow 982.8 36.3 52.6 16.3
Combustion
Chamber
1168.5 36.3 46.7 10.5
WCD 5,6 935 36.1 44.7 8.6
Water cool
duct 7,8,9
1024 36.1 42.3 6.2
Water cool
duct
10,11,12,13
1022.5 36.1 40.9 4.8
Total 5132.8
Figure.3 Pareto chart showing absorb heat by cooling water
A. SIPOC Diagram
Fig.(4) describes the transformation process of inputs
form suppliers to output for customers & gives a high
level understanding of the process,the process steps (sub
processes) and their correlation to each other.
Figure.4 SIPOC diagram
Defining Process Boundaries and Customer CTQ
requirements:
Process Boundaries - Process Start Point: - Flue gas from
electric arc furnace is discharge via fixed elbow, CC,
WCD to chimney.
Process Stop Point: - Flue gas discharged after cooling.
Customer CTQ Requirements
Need CTQ
Figure.5 CTQ tree
This is the first phase of the process improvement effort.
During this phase, the six sigma project is defined.
Definition of project requires the information pertaining
to the customer requirements is available. They are
documented, therefore, it necessitates identifying the
customers (both internal and external) and there critical to
quality issues. In this phase capacity of electric arc
furnace, furnace heat balance which contain input and
output temperature.
B. Measure Phase
This phase presents the detailed process mapping,
operational definition, data collection chart, evaluation
of the existing system, assessment of the current level of
process performance etc.
Process Mapping
Fig.6 showing the motion of flue gas from electric arc
furnace to chimney.
B. Calculation for energy absorbed at different parts
For absorbed energy in fixed elbow by cooling water
Taking the data from table.2, we can calculate,
Qf = m x C
p
x ΔT
= 9.828 x 102x 4186x16.3
4.186
Qf = 160.19 x 102
Qf = 16019 MCal/h
It is the energy for fixed elbow and also calculated for
combustion chamber and water cool duct.
Total energy absorbed
Q = Qf + Qc + Qw + Qw + Qw
Q = 16020 +12,269 + 8041 + 6349 +4908
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
Fixed combustion WCD WCD WCD
Elbow chamber 5,6 7,8,9 10- 13
Input Output Customer
Steel maker
&
Manufacturer
Supplier
Waste Flue
Gas
Recover
and
analyze
Steam Or
Energy Company
Proces
s
Reduce the waste
heat
Fixed elbow, Combustion
chamber, WCD 5-13
Q = 47587 MCal/h
YES
If
Off Gas
Used
NO
NO
Figure.6 Flow chart of the process
The term identified the key internal processes that
influence CTQs and measure the defects currently
generated relative to those processes. In measure phase,
detailed process map of appropriate areas such as process
view of off gas, flow chart of the process are prepared ,
data is collected after preparing data collection plan ,
defects are identified. In this phase calculations for
absorbed energy for all parts and total energy of cooling
water are carried out.
C. Analyze phase
This phase describes the potential causes identified
which have the maximum impact on the low process
yield, cause-and-effect diagram, Pareto analysis of the
causes,the Why Why analysis.
D. Line Chart
The data is taken by Resistance Temperature Detector
device (RTD). RTD was inserted at particular position
near outlet of combustion chamber. This way the
temperature profile of the gas was captured & analyzed
for full EAF cycle. RTD has a temperature range so we
can measure the temperature only at combustion chamber
and forced draft cooler. Chart for exhaust gas temperature
at Combustion chamberData obtained related to exhaust
gas temperature at combustion chamber Vs time is shown
in figure. The maximum temperature of exhaust gas in
combustion chamber is 1580oC.The variation in
temperature occurs at every second due to combustion of
material in EAF.
Figure7 Exhaust gas temperatures at Combustion chamber
E. Calculation for potential energy in flue gas:
The flow rate of flue Gas is 2, 50,000 Nm3/h
The flue Gas contain CO2= 9.3 %
O2 = 8.8 %
N2 = 79.9 %
H2O= 2.O %
At Temperature of 700o C
1] For CO2: 9.3 %
Molecular weight of CO2 = 44
9.3× 44 = 409.2 g/mole (1 Mole = 22.414 L)
Hence mass of the CO2 is
250000 × 409.2
M CO2 = 22.414Kg/h
M CO2 =4565115.5 Kg /h
At 7000 C Value of Specific heat Cp=1.220
Enthalpy ∆dh = m cp ∆t
∆dh = 4565115.5 × 1.220 × 700
∆dh = 68313.4 MJ/h (1 Cal = 4.184 Joule)
∆dh = 16,326 Mcal/h
Total Enthalpy
∆DH = ∆dh CO2 + ∆dh O2 + ∆dh N2 + ∆dh H2O
∆DH = 16,326 + 9962.6 + 6554.22 + 2650.85
∆DH = 35493.67 Mcal/h
IV. CAUSE AND EFFECT DIAGRAM
The cause and effect diagram is used to explore all the
potential or real causes (or inputs) that result in a single
effect (or output). Causes are arranged according to their
level of importance or detail, resulting in a depiction of
relationships and hierarchy of events. This can help you
search for root causes, identify areas where there may be
problems, and compare the relative importance of
different causes. Causes in a cause & effect diagram are
frequently arranged into four major categories. These
categories can be as follows:-
Fixed Elbow
Combustion Chamber
WCD 5-13
Forced Draft Cooler
Spark Arrestor
Bag Filter
Exhaust Fan
Chimney
Furnace
Boiler
 Manpower, methods, materials, and machinery
(recommended for manufacturing).
 Equipment, policies, procedures, and people
(recommended for administration and service).
Scrap Oxygen Ni, Cd, Cr
preheating injection
20% leave Carbon Temperature
for wasteinjection reduction
gases
Problem in Fixed elbow CO to CO2
Flowrate Combustion
WCD MnO, SiO2
Figure.8 Cause effect diagram for Waste heat
A. Root Cause Analysis
Flow process of off gas from EAF to chimney. The
causes of waste heat are high temperature of gas at
component shown in figure. Material, gases,
distriburneses at fixed elbow, combustion and WCD
affects the combustion process in EAF. The temperature
of off gas goes up to 1800oC in EAF along with high
pressure.
B. Brain storming
From the Pareto chart it is identified to reduce the wastage
of flue gas from EAF. Wastage of flue gas occur fromthe
fixed elbow, combustion chamber, water cooler duct in
the EAF as well as due to high temperature and hazardous
chemicals in flue gas.
V. IMPROVEMENT IN ENVIRONMENTAL
CONDITION
The Central Pollution Control Board (CPCB) intends to
develop Minimum National Standards (MINAS) for all
types of industries with regards to their effluent discharge
(water pollutants), emissions (air pollutants), noise levels
and solid waste. The proposed model for evolving
industry specific standards envisages specifying limits of
pollutants to protect the environment. The standards thus
developed will be applicable to the concerned industries
throughout the country. The flue gas must be discharge at
room temperature so that it is free from hazardous gases
such as Cr, Cd, Coand Ni.
TABLE-3Air emission norms
Sr. No. Parameter
Emission
Limit mg/Nm3
1 Shoot & Dust 150
2 Acid Mist (HCl& H2 SO4 ) 50
3 Lead 1
4 Nickel 5
5 Chromium (VI) 5
6 Chromium (Others) 5
Cyanide
5
A. Why-Why analysis
Fig. (8) Shows a why-why diagram which helped in
identifying root cause of the problem.
Why energy is waste at combustion chamber?
Why the heat is absorbed at combustion chamber?
Why the temperature is reduced?
Why discharge the off gas at low temperature?
.
Why maintain the environment temperature?
Figure.9 Why-Why analysis
B.Improve Phase
project team identified the risks for vital ‘Xs’ or input
variables identified from various tools and took actions to
optimize these input resources or the ‘Xs’ and thus
developed process requirements that minimize the
likelihood of those failures. The team members generated
ideas for improving the process, analyzed and evaluated
those ideas and selected the best potential solutions,
planned and implemented these solutions.
C. Proposed system
In plant there are four module means four electric arc
furnace, four boilers. In proposed system the four
electric arc furnaces are directly connected to boiler for
utilizing the off gas, which is dumped in environment. In
boiler hot gas is used to heat the water and produce
steam. This steam is collected by steam drum. The four
drums are equally connected to turbine. The steam
transfer to turbine and energy is produce by turbine.
D. Cost comparison of waste heat with other energy
source
Heat recovery technology is an excellent tool to conserve
Waste
Heat
Flue GasChemical
Energy
Electrical
Energy
Radiation
Transfer
Water Cooler
Losses
Others
energy. The waste heat recovery brings in related
economic benefits for the local community and would
lead to sustainable economy and industrial growth in the
region. The WHR activity would be able to replace
electricity generated by grid-connected power plant thus
saving further exploitation and depletion of natural
resources- coal or else increasing its avaibility to other
important process. The electricity generate from the
WHR would help to reduce carbon dioxide emission and
other associated pollution at thermal power plants. These
are the data which show that recovery of off gas is easy
and economically suitable to plant. No mission of
hazardous gases, no tax for government, all sources are
available
TABLE-4 Cost comparison
Type Energy
source
availability
Conversion
efficiency
Generate
emission
Solar 25% 25% - 35% No
Wind 25% 25%- 35% No
Geo-
thermal
100% 5% - 15% No
Hydro 100% 25%- 35% No
Biomass 100% 25%- 35% Yes
Waste heat
recovery
100% 35% -45% No
Figure.10 Proposed systems for WHR
E. Control Phase
This is about holding the gains which have been
achieved by the project team. Implementing all
improvement measures during the improve phase,
periodic reviews of various solutions and strict
adherence on the process yield is carried out. The
Business Quality Council (a group of Black Belt,
Champion of team, Sr. Managers including project
team members) executed strategic controls by an
ongoing process of reviewing the goals and progress of
the targets. The council met periodically and reviewed
the progress of improvement measures and their
impacts on the overall business goals.
V. RESULTS ANDDISCUSSION
The potential energy in off gas for forced draft cooler
[based on inlet and outlet temperature] is
Total absorbed energy in cooling water is
According to the cost comparison data, waste heat is
easy and economical to recover in comparison with
Solar, Wind, Geothermal, Biomass, Hydro energy. No
emission of radiation, sources are available for renew
and use. In waste heat recovery we can control 20%
CO2.
A. Advantages:
The use of waste heat has enormous amount of
advantages. This can be applied on many areas. They
are;
1] 30% of the power plant consumption is met by the
internal generation through waste heat recovery.
2] 40% of the waste heat recovered.
3] Reducing the carbon dioxide emission into atmosphere
by about 45,000 tons per year.
4] 30% off power saved for producing ton steel.
5] Economical for 1MW to 25 MW power plant.
6] Each MW of power generation (compared to coal fired
plant) eliminates:
21 Tons NOX
59 Tons SOX
8615Tons CO2
7] Power generate with zero emissions.
8] Efficient power from flue gas, steam, hot water/fluid.
9] Save valuable water resource.
B. Limitations
The waste heat recovery project can implement but
there are some limitations;
1) The plan is very vast and to implement it in plant the
furnace has to be shut down for two months.
2) We cannot replace the one device in time, because is
affect the other one.
∆DH = 35,493.67 Mcal/h
Q = 47,587.0 Mcal/h
3) Waste heat recovery plan is applied only in few
companies so its matter of uncertainty and company can’t
take a risk.
4) The investment for implementing waste heat recovery
systemis very large.
VI. CONCLUSION
Six Sigma as a powerful business strategy has been well
recognized as an imperative for achieving and sustaining
operational and service excellence. Six Sigma has its
roots in manufacturing and statistical process control.
This project has outlined a thought process for applying
Six Sigma tools to pursuing process improvement. It
provides scientific methods for converting qualitative data
to quantitative data and making fact-based decisions. The
Define phase of DMAIC cycle identifies the “base-line”
measures that shows current performance capability and
“gaps” between the actual and standards of Six Sigma
performance. The Define – Measure- Analyze phases
creates a “funnel” that enables the team to arrive at root-
causes of the problem that would prevent the realization
of new performance standards. The Improve and Control
phases demanded that the new learning achieved is shared
& transferred to others in the company’s community.
Heat recovery technology is an excellent tool to conserve
energy. The waste heat recovery brings in related
economic benefits for the local community and would
lead to sustainable economy with 42% energy recovered
and industrial growth in the region. The WHR activity
would be able to replace electricity generate by grid-
connected power plant thus saving, further exploitation
and depletion of natural resources- coal or else increasing
its avaibility to other important process. The electricity
generate from the WHR would help to reduce carbon
dioxide emission and other associated pollution at thermal
power plants.
A. Scope for future work
The complete review of the effectiveness of the DMAIC
project concerning to the recovery of waste heat cannot be
made yet. To do this the improvement measures
developed in the DMAIC project must be implemented
and evaluated. The waste heat recovery system is vast of
benefits and work area to recover. Waste heat is having
sufficient amount of devices to use. Waste energy can be
use everywhere in plant like refrigeration system, power
generation, drive the pumps, heat the water and air etc. To
implement this project in working plant is very
complicated but for new plant is very beneficial and
productive.
This project can be treated as the efficient method of
utilization of waste gases for the production of electrical
energy and one can hope that the “Waste Heat Recovery”
will play an even great role in the industrial development
of 21st century.
REFERENCES
[1] Antony,J. (2004)“Some Pros and Cons of Six Sigma : An
Academic Perspective”, The TQM Magazine, Vol.16 No. 4, pp.
303 – 306.
[2] Antony, J. &Banuelas, R. (2001) “Six Sigma: A Business Strategy
for ManufacturingOrganizations”, Manufacturing Engineering,
Vol. 8 No. 3, pp. 119-121.
[3] Antony, J., Maneesh Kumar & Madu, C. (2005) “Six Sigma in
Small-andMedium-sized UK Manufacturing Enterprises- Some
Empirical Observations”, International Journal of Quality &
Reliability Management, Vol. 22 No. 8, pp. 860-874.
[4] Banuelas, R. & Antony, J. (2004) “Six Sigma or design for Six
Sigma? “, The TQM Magazine, Vol. 2 No. 3, pp. 29-33.
[5] Harry, M. & Schroeder, R. (2000)Six Sigma: The Breakthrough
Management Strategy Revolutionizing The World’s Top
Corporations, Doubleday, New York, NY.
[6] Goh, T. & Xie, M. (2004) “Improving on the Six Sigma
Paradigm”, The TQM Magazine, Vol. 16 No. 4, pp. 235-240.
[7] Kuei, C. & Madu, C. (2003) “Customer-Centric Six SigmaQuality
& Reliability Management”, International Journal of Quality &
Reliability Management, Vol. 20 No. 8, pp. 954-964.
[8] Snee, R. (2004) “SixSigma:the Evolutionof 100years of Business
Improvement Methodology”, International Journal of Six Sigma
and Competitive Advantage, Vol. 1 No. 1, pp. 4-20.
[9] Tomkins, R. (1997) “GE Beats Expected 13% Rise”, Financial
Times, pp. 22, October 10.
[10] Thomas Pyzdek(2003) “Six Sigma Infrastructure”,Quality Digest.
2nd edition; March 20, 2003.

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Case study quality improvement in steel making plant using six sigma dmaic methodology

  • 1. Quality Improvement In Steel Making Plant UsingSix Sigma DMAIC Methodology Ganesh Chouhan, Prof. Tushar N. Desai2 NikunjH. Patel Department of Mechanical Engg. Department of Mechanical Engg. Department of Mechanical Engg. VIMAT,Kim,Surat, India, SVNIT Surat, India VIMAT,Kim,Surat, India ganesh_chouhan31@yahoo.com tushardesaisvnit@gmail.com nikunj_143@yahoo.co.in Abstract - Sigma has been considered as a philosophy that employs a well-structured continuous improvement methodology to reduce process variability and drive out waste within the business processes using statistical tools and techniques.Six Sigma is a well-established approach that seeks to identify and eliminate defects, mistakes or failures in business processes orsystems by focusing on those process performance characteristics that are of critical importance to customers. Six Sigma provides business leaders and executives with the strategy, methods, tools and techniques to change their organizations. Six Sigma has been on an incredible run for the last five years producing significant savings to the bottom-line of many large manufacturing organizations. In every power plant energy is the major factor which drives the plant components like turbine, condenser, feed pump, electricity etc. Waste Heat Recovery is a powerful technology for the manufacturing industry that requires both electricity and steam/heat in its processes. While the waste heat recovery project proposed here still uses a fossil fuel, its benefits come from utilizing an energy source that would otherwise be dumped to displace process steam produced from fossil fuel combustion. Generating sets powered by fossil fuels dominate the supply of turbine and other components in most energy-intensive manufacturing industries. Often, energy from the flue gases is not fully utilized. The heat of the electric arc furnace is cooled by water at different places. This translates to high equivalent emissions of greenhouse gases. The use of waste heat recovery reduces fossil fuel consumption and increase the efficiency of the plant. Keywords– Six Sigma Quality, Process Improvement, WHR, HSM, DMAIC. I.INTRODUCTION A.WhatisSix Sigma? The word is a statistical term that measures how far a given process deviates from perfection. Six Sigma is named after the process that has six standard deviations on each side of the specification window. It is adisciplined, data-driven approach and methodology for eliminating defects. The central idea behind Six Sigma is that if you can measure how many “defects” you have in a process, you can systematically figure out how to eliminate them and get as close to “zero defects” as possible. Six Sigma starts with the application of statisticalmethods for translating information from customers into specifications for products or services being developed or produced. Six Sigma is the business strategy and a philosophy of one working smarter not harder. B. Six SigmaPhilosophy Six Sigma is a business performance improvement strategy that aims to reduce the number of mistakes/defects to as low as 3.4 occasions per million opportunities. Sigma is a measure of “variation about the average” in a process which could be in manufacturing or service industry. Six Sigma improvement drive is the latest and most effective technique in the quality engineering and manufacturing spectrum. It enables organizations to make substantial improvements in their bottom line by designing and monitoring everyday business activities in ways which minimizes all types of wastes and maximizes customer satisfaction. While all the quality improvement drives are useful in their own ways. C. The StatisticalDefinition ofSix Sigma The objective of driving for Six Sigma performance is to reduce or narrow variation to such a degree that standard deviation can be squeezed within the limits defined by the customer’s specification. That means a potential for enormous improvement for many products, services and processes. The statistics associated with Six Sigma are relatively simple. To define Six Sigma statistically, two concepts are required: specification limits and the normal distribution. Figure1. The sigma and part per million (ppm) 2 SIGMA 3, 08,537 DEFECTS 3 SIGMA 66,803 DEFECTS 4 SIGMA 6,210 DEFECTS 5 SIGMA 233 DEFECTS 6SIGMA 3.4 DEFECTS SIGMA LEVEL AND DEFECT PER MILLIONOPPO RTUNITES
  • 2. II. THE DMAIC SIX SIGMA METHODOLOGY The DMAIC methodology follows the phases: define, measure, analyze, improve and control. (Antony &Banuelas, 2002). Although PDCA could be used for process improvement, to give a new thrust Six Sigma was introduced with a modified model i.e. DMAIC. The methodology is revealed phase wise (Fig. 1) which is depicted in A, B, C, D and E and is implemented for this project. Figure 2.The DMAIC methodology A. Define Phase A Steel company is facing the main problem in the Electric arc furnace due to the waste heat flue gases. The Effective uses of exhaust gas from electric arc furnace have not been realized due to very high temperature, fluctuation phenomenon, dust and splash in it. Hence the main objective of this project is to utilize the wastage of off gas in plant. Waste heat is heat, which is generated in a process by way of fuel combustion or chemical reaction, and then “dumped” into the environment even though it could still be reused for some useful and economic purpose. The essential quality of heat is not the amount but rather its “value”. The strategy of how to recover this heat depends in part on the temperature of the waste heat gases and the economics involved. Large quantity of hot flue gases is generated from Boilers, Kilns, Ovens and Furnaces. If some of this waste heat could be recovered, a considerable amount of primary fuel could be saved. The energy lost in waste gases cannot be fully recovered. However, much of the heat could be recovered and loss minimized by adopting various measures. The high temperature heat recovery potential is available in many industries. The high temperature waste heat available can be utilized for power generation, utilization of waste heat for heating of water, air, increase in process temperature etc. B.Development of a Project Charter This phase determines the objectives & the scope of the project, collect information on the process and the customers, and specify the deliverables to customers (internal & external). TABLE-1 PROJECT TEAM CHARTER III. Basic system design condition data: This specification covers the preliminary design condition for off gas heat recovery systemproposed to be installed in Steel making plant. Design Condition:- Following condition are specified to plan the EAF off gas heat recovery systembased on received data’s. 1) Operating condition Top to tap time : 60 min. Arc time : 49 min. Number of operating EAF : Three out of four operations 2) Gas condition:- Gas flow rate after: Max.183,026 Nm3 /h(dry) combustion : Ave. 165,000 Nm3 /h(dry) Gas temperature : Max. 535 deg C at outlet of WCD-13 : Ave.338.5 deg C at outlet of WCD-13 Gas component after : CO2 9.3% combustion : O2 8.8% : N2 79.9% : H2 O 2.0 Project Team Charter Black Belt Name: Head – TQM Facilitation & Industrial Engineering Deptt. Champion Name : GM,Operations Project Start Date :October, 2009; Project Completion Date : May. , 2010 Project Location : A large scale manufacturing unit, Surat, Gujarat, India Business Case:Quality and productivity improvement for waste heat recovery powerPlant. Project Title:Quality and productivity improvement for waste heat recovery power Plant through Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) methodology. Team Members : Project student – M. Tech(Mech), Prof. T. N. Desai, Ganesh Chouhanand employees of the concern. Stake holders : Employees of TQM Facilitation& Industrial Engg. Deptt. Subject Matter : Black Belt of Team, Experts Head – TQM Facilitation & IndustrialEnggDeptt., Sr. Managers Project Milestones: Define phase : Oct. 1 to Nov. 30, 2009 Measure Phase : Dec. 1 to Jan. 16, 2010 Analyze Phase : Jan. 17 to Mar. 30, 2010 Improve Phase : Mar. 1 to Apr. 30, 2010 Control Phase : Apr. 30 to May. 31, 2010 DEFINE? MEASURE ANALYZE IMPROVE CONTROL
  • 3. TABLE-2 FLUE GAS DATA Item Water flow rate Nm3 /h Temperature 0C Input Output Difference Fixed elbow 982.8 36.3 52.6 16.3 Combustion Chamber 1168.5 36.3 46.7 10.5 WCD 5,6 935 36.1 44.7 8.6 Water cool duct 7,8,9 1024 36.1 42.3 6.2 Water cool duct 10,11,12,13 1022.5 36.1 40.9 4.8 Total 5132.8 Figure.3 Pareto chart showing absorb heat by cooling water A. SIPOC Diagram Fig.(4) describes the transformation process of inputs form suppliers to output for customers & gives a high level understanding of the process,the process steps (sub processes) and their correlation to each other. Figure.4 SIPOC diagram Defining Process Boundaries and Customer CTQ requirements: Process Boundaries - Process Start Point: - Flue gas from electric arc furnace is discharge via fixed elbow, CC, WCD to chimney. Process Stop Point: - Flue gas discharged after cooling. Customer CTQ Requirements Need CTQ Figure.5 CTQ tree This is the first phase of the process improvement effort. During this phase, the six sigma project is defined. Definition of project requires the information pertaining to the customer requirements is available. They are documented, therefore, it necessitates identifying the customers (both internal and external) and there critical to quality issues. In this phase capacity of electric arc furnace, furnace heat balance which contain input and output temperature. B. Measure Phase This phase presents the detailed process mapping, operational definition, data collection chart, evaluation of the existing system, assessment of the current level of process performance etc. Process Mapping Fig.6 showing the motion of flue gas from electric arc furnace to chimney. B. Calculation for energy absorbed at different parts For absorbed energy in fixed elbow by cooling water Taking the data from table.2, we can calculate, Qf = m x C p x ΔT = 9.828 x 102x 4186x16.3 4.186 Qf = 160.19 x 102 Qf = 16019 MCal/h It is the energy for fixed elbow and also calculated for combustion chamber and water cool duct. Total energy absorbed Q = Qf + Qc + Qw + Qw + Qw Q = 16020 +12,269 + 8041 + 6349 +4908 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 Fixed combustion WCD WCD WCD Elbow chamber 5,6 7,8,9 10- 13 Input Output Customer Steel maker & Manufacturer Supplier Waste Flue Gas Recover and analyze Steam Or Energy Company Proces s Reduce the waste heat Fixed elbow, Combustion chamber, WCD 5-13 Q = 47587 MCal/h
  • 4. YES If Off Gas Used NO NO Figure.6 Flow chart of the process The term identified the key internal processes that influence CTQs and measure the defects currently generated relative to those processes. In measure phase, detailed process map of appropriate areas such as process view of off gas, flow chart of the process are prepared , data is collected after preparing data collection plan , defects are identified. In this phase calculations for absorbed energy for all parts and total energy of cooling water are carried out. C. Analyze phase This phase describes the potential causes identified which have the maximum impact on the low process yield, cause-and-effect diagram, Pareto analysis of the causes,the Why Why analysis. D. Line Chart The data is taken by Resistance Temperature Detector device (RTD). RTD was inserted at particular position near outlet of combustion chamber. This way the temperature profile of the gas was captured & analyzed for full EAF cycle. RTD has a temperature range so we can measure the temperature only at combustion chamber and forced draft cooler. Chart for exhaust gas temperature at Combustion chamberData obtained related to exhaust gas temperature at combustion chamber Vs time is shown in figure. The maximum temperature of exhaust gas in combustion chamber is 1580oC.The variation in temperature occurs at every second due to combustion of material in EAF. Figure7 Exhaust gas temperatures at Combustion chamber E. Calculation for potential energy in flue gas: The flow rate of flue Gas is 2, 50,000 Nm3/h The flue Gas contain CO2= 9.3 % O2 = 8.8 % N2 = 79.9 % H2O= 2.O % At Temperature of 700o C 1] For CO2: 9.3 % Molecular weight of CO2 = 44 9.3× 44 = 409.2 g/mole (1 Mole = 22.414 L) Hence mass of the CO2 is 250000 × 409.2 M CO2 = 22.414Kg/h M CO2 =4565115.5 Kg /h At 7000 C Value of Specific heat Cp=1.220 Enthalpy ∆dh = m cp ∆t ∆dh = 4565115.5 × 1.220 × 700 ∆dh = 68313.4 MJ/h (1 Cal = 4.184 Joule) ∆dh = 16,326 Mcal/h Total Enthalpy ∆DH = ∆dh CO2 + ∆dh O2 + ∆dh N2 + ∆dh H2O ∆DH = 16,326 + 9962.6 + 6554.22 + 2650.85 ∆DH = 35493.67 Mcal/h IV. CAUSE AND EFFECT DIAGRAM The cause and effect diagram is used to explore all the potential or real causes (or inputs) that result in a single effect (or output). Causes are arranged according to their level of importance or detail, resulting in a depiction of relationships and hierarchy of events. This can help you search for root causes, identify areas where there may be problems, and compare the relative importance of different causes. Causes in a cause & effect diagram are frequently arranged into four major categories. These categories can be as follows:- Fixed Elbow Combustion Chamber WCD 5-13 Forced Draft Cooler Spark Arrestor Bag Filter Exhaust Fan Chimney Furnace Boiler
  • 5.  Manpower, methods, materials, and machinery (recommended for manufacturing).  Equipment, policies, procedures, and people (recommended for administration and service). Scrap Oxygen Ni, Cd, Cr preheating injection 20% leave Carbon Temperature for wasteinjection reduction gases Problem in Fixed elbow CO to CO2 Flowrate Combustion WCD MnO, SiO2 Figure.8 Cause effect diagram for Waste heat A. Root Cause Analysis Flow process of off gas from EAF to chimney. The causes of waste heat are high temperature of gas at component shown in figure. Material, gases, distriburneses at fixed elbow, combustion and WCD affects the combustion process in EAF. The temperature of off gas goes up to 1800oC in EAF along with high pressure. B. Brain storming From the Pareto chart it is identified to reduce the wastage of flue gas from EAF. Wastage of flue gas occur fromthe fixed elbow, combustion chamber, water cooler duct in the EAF as well as due to high temperature and hazardous chemicals in flue gas. V. IMPROVEMENT IN ENVIRONMENTAL CONDITION The Central Pollution Control Board (CPCB) intends to develop Minimum National Standards (MINAS) for all types of industries with regards to their effluent discharge (water pollutants), emissions (air pollutants), noise levels and solid waste. The proposed model for evolving industry specific standards envisages specifying limits of pollutants to protect the environment. The standards thus developed will be applicable to the concerned industries throughout the country. The flue gas must be discharge at room temperature so that it is free from hazardous gases such as Cr, Cd, Coand Ni. TABLE-3Air emission norms Sr. No. Parameter Emission Limit mg/Nm3 1 Shoot & Dust 150 2 Acid Mist (HCl& H2 SO4 ) 50 3 Lead 1 4 Nickel 5 5 Chromium (VI) 5 6 Chromium (Others) 5 Cyanide 5 A. Why-Why analysis Fig. (8) Shows a why-why diagram which helped in identifying root cause of the problem. Why energy is waste at combustion chamber? Why the heat is absorbed at combustion chamber? Why the temperature is reduced? Why discharge the off gas at low temperature? . Why maintain the environment temperature? Figure.9 Why-Why analysis B.Improve Phase project team identified the risks for vital ‘Xs’ or input variables identified from various tools and took actions to optimize these input resources or the ‘Xs’ and thus developed process requirements that minimize the likelihood of those failures. The team members generated ideas for improving the process, analyzed and evaluated those ideas and selected the best potential solutions, planned and implemented these solutions. C. Proposed system In plant there are four module means four electric arc furnace, four boilers. In proposed system the four electric arc furnaces are directly connected to boiler for utilizing the off gas, which is dumped in environment. In boiler hot gas is used to heat the water and produce steam. This steam is collected by steam drum. The four drums are equally connected to turbine. The steam transfer to turbine and energy is produce by turbine. D. Cost comparison of waste heat with other energy source Heat recovery technology is an excellent tool to conserve Waste Heat Flue GasChemical Energy Electrical Energy Radiation Transfer Water Cooler Losses Others
  • 6. energy. The waste heat recovery brings in related economic benefits for the local community and would lead to sustainable economy and industrial growth in the region. The WHR activity would be able to replace electricity generated by grid-connected power plant thus saving further exploitation and depletion of natural resources- coal or else increasing its avaibility to other important process. The electricity generate from the WHR would help to reduce carbon dioxide emission and other associated pollution at thermal power plants. These are the data which show that recovery of off gas is easy and economically suitable to plant. No mission of hazardous gases, no tax for government, all sources are available TABLE-4 Cost comparison Type Energy source availability Conversion efficiency Generate emission Solar 25% 25% - 35% No Wind 25% 25%- 35% No Geo- thermal 100% 5% - 15% No Hydro 100% 25%- 35% No Biomass 100% 25%- 35% Yes Waste heat recovery 100% 35% -45% No Figure.10 Proposed systems for WHR E. Control Phase This is about holding the gains which have been achieved by the project team. Implementing all improvement measures during the improve phase, periodic reviews of various solutions and strict adherence on the process yield is carried out. The Business Quality Council (a group of Black Belt, Champion of team, Sr. Managers including project team members) executed strategic controls by an ongoing process of reviewing the goals and progress of the targets. The council met periodically and reviewed the progress of improvement measures and their impacts on the overall business goals. V. RESULTS ANDDISCUSSION The potential energy in off gas for forced draft cooler [based on inlet and outlet temperature] is Total absorbed energy in cooling water is According to the cost comparison data, waste heat is easy and economical to recover in comparison with Solar, Wind, Geothermal, Biomass, Hydro energy. No emission of radiation, sources are available for renew and use. In waste heat recovery we can control 20% CO2. A. Advantages: The use of waste heat has enormous amount of advantages. This can be applied on many areas. They are; 1] 30% of the power plant consumption is met by the internal generation through waste heat recovery. 2] 40% of the waste heat recovered. 3] Reducing the carbon dioxide emission into atmosphere by about 45,000 tons per year. 4] 30% off power saved for producing ton steel. 5] Economical for 1MW to 25 MW power plant. 6] Each MW of power generation (compared to coal fired plant) eliminates: 21 Tons NOX 59 Tons SOX 8615Tons CO2 7] Power generate with zero emissions. 8] Efficient power from flue gas, steam, hot water/fluid. 9] Save valuable water resource. B. Limitations The waste heat recovery project can implement but there are some limitations; 1) The plan is very vast and to implement it in plant the furnace has to be shut down for two months. 2) We cannot replace the one device in time, because is affect the other one. ∆DH = 35,493.67 Mcal/h Q = 47,587.0 Mcal/h
  • 7. 3) Waste heat recovery plan is applied only in few companies so its matter of uncertainty and company can’t take a risk. 4) The investment for implementing waste heat recovery systemis very large. VI. CONCLUSION Six Sigma as a powerful business strategy has been well recognized as an imperative for achieving and sustaining operational and service excellence. Six Sigma has its roots in manufacturing and statistical process control. This project has outlined a thought process for applying Six Sigma tools to pursuing process improvement. It provides scientific methods for converting qualitative data to quantitative data and making fact-based decisions. The Define phase of DMAIC cycle identifies the “base-line” measures that shows current performance capability and “gaps” between the actual and standards of Six Sigma performance. The Define – Measure- Analyze phases creates a “funnel” that enables the team to arrive at root- causes of the problem that would prevent the realization of new performance standards. The Improve and Control phases demanded that the new learning achieved is shared & transferred to others in the company’s community. Heat recovery technology is an excellent tool to conserve energy. The waste heat recovery brings in related economic benefits for the local community and would lead to sustainable economy with 42% energy recovered and industrial growth in the region. The WHR activity would be able to replace electricity generate by grid- connected power plant thus saving, further exploitation and depletion of natural resources- coal or else increasing its avaibility to other important process. The electricity generate from the WHR would help to reduce carbon dioxide emission and other associated pollution at thermal power plants. A. Scope for future work The complete review of the effectiveness of the DMAIC project concerning to the recovery of waste heat cannot be made yet. To do this the improvement measures developed in the DMAIC project must be implemented and evaluated. The waste heat recovery system is vast of benefits and work area to recover. Waste heat is having sufficient amount of devices to use. Waste energy can be use everywhere in plant like refrigeration system, power generation, drive the pumps, heat the water and air etc. To implement this project in working plant is very complicated but for new plant is very beneficial and productive. This project can be treated as the efficient method of utilization of waste gases for the production of electrical energy and one can hope that the “Waste Heat Recovery” will play an even great role in the industrial development of 21st century. REFERENCES [1] Antony,J. (2004)“Some Pros and Cons of Six Sigma : An Academic Perspective”, The TQM Magazine, Vol.16 No. 4, pp. 303 – 306. [2] Antony, J. &Banuelas, R. (2001) “Six Sigma: A Business Strategy for ManufacturingOrganizations”, Manufacturing Engineering, Vol. 8 No. 3, pp. 119-121. [3] Antony, J., Maneesh Kumar & Madu, C. (2005) “Six Sigma in Small-andMedium-sized UK Manufacturing Enterprises- Some Empirical Observations”, International Journal of Quality & Reliability Management, Vol. 22 No. 8, pp. 860-874. [4] Banuelas, R. & Antony, J. (2004) “Six Sigma or design for Six Sigma? “, The TQM Magazine, Vol. 2 No. 3, pp. 29-33. [5] Harry, M. & Schroeder, R. (2000)Six Sigma: The Breakthrough Management Strategy Revolutionizing The World’s Top Corporations, Doubleday, New York, NY. [6] Goh, T. & Xie, M. (2004) “Improving on the Six Sigma Paradigm”, The TQM Magazine, Vol. 16 No. 4, pp. 235-240. [7] Kuei, C. & Madu, C. (2003) “Customer-Centric Six SigmaQuality & Reliability Management”, International Journal of Quality & Reliability Management, Vol. 20 No. 8, pp. 954-964. [8] Snee, R. (2004) “SixSigma:the Evolutionof 100years of Business Improvement Methodology”, International Journal of Six Sigma and Competitive Advantage, Vol. 1 No. 1, pp. 4-20. [9] Tomkins, R. (1997) “GE Beats Expected 13% Rise”, Financial Times, pp. 22, October 10. [10] Thomas Pyzdek(2003) “Six Sigma Infrastructure”,Quality Digest. 2nd edition; March 20, 2003.