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Even though Six Sigma concepts & techniques can be applied for most if not all IT Service management processes see ITIL v3 for taxonomy of Service Management processes mapped to the Serv

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Successful Projects from the Application of Six Sigma Methodology 111

Measure: The record sheet is a simple, graphical method for collection of the occurrences of

events Each mark represents an occurrence and the operator can quickly tabulate the count

of the occurrences Table 14 shows the record sheet for the defects of the binder

Load and

unload problem

Table 13 Record Sheet for the location of problem appearance

The Pareto Chart helps focus the most important causes; Figure 20 shows the main flaws in

the area of folders and the damage, The most common defect is the damage in the BC

holder, that is the major contributor with 60% of the problems of the BC

Fig 20 Pareto Chart for the Type of Damage

Analysis: To illustrate where the damage occurs see Figure 21, that shows an overview of

the “Hang”machine, as the station is loaded with subassemblies that will rivet the ring (the

operator decides what amount to place), station load and the movement of the conveyor

Rotary Table 4 (R4) machine is similar to the rotaries 5 & 6, except that here the BC is sealed

to the bag The R4 makes a good seal with the appropriate parameters, but it has the

disadvantage of producing an average 20 pieces of scrap per shift This is where our

problem lies, because if the surplus is not cut or partially cut This can damage other

subsequent subassemblies in the riveting process A Cause and Effect diagram shows the

supposed relationship between a problem and their potential causes Figure 22 shows the

possible causes of variation in the cutting of vinyl for BC, the machine where it is cut like a

giant guillotine, caused flash after the sealing operation around the vinyl bag

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Fig 21 Hang Machine where the Loadingand Unloading problem Ocurrs

Methods Materials

Measurment Man

SOP's Planning Setups Why?

Inspection Criteria Trining Visual Checks Why?

Operator Availability

Communication

Boards

Quality

Training

Vynil

Learning Curve

Binder Process Variation

Problem Statement

Mother Nature

Machines

Generator Board Feeder Hole Puncher

Temperature Humidity

5 S Why?

Pick & Place

Fig 22 Cause and Effect Diagram for the Assembly Binder Process

Improvement: A possible solution was changing the design of the BC, shown in Figure 23

This modification was to replace the vinyl bag with 4 cuts at 45 degrees (this design is used

in another model of folders) This option would reduce the cost by not using clear vinyl for

BC, by eliminating the cutting and sealing operations; by doing so, additionally, completely eliminates the damage caused by the flash of BC

Marketing rejected this proposed BC bag, arguing that the folder was submitted and that the update of the catalogs on the Internet had been just published Therefore it can be able to modify it until next year This option was rejected, and then team decided to build a die cut (36 holes), with exact measurements of the size of BC bag in order to avoid the variation in the BC gap (see Figure 24 and 25)

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Successful Projects from the Application of Six Sigma Methodology 113

Fig 23 BC Bags Actual and Proposed for Reducing the Scrap

Fig 24 Press Machine that cuts the BC Bags

Fig 25 New Die Design with Smaller Tolerance in the BC Bag Dimensions

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Another improvement was to change the dishes where the BC is placed to be sealed with the bag; a frame of Delrin was used with the exact size of BC, to serve as a protector Consequently, the BC does not move until it passes the sealing operation The results of the changes made were remarkable BC cutting was accurate and there was not any flash (see Figure 26)

Fig 26 Product before and after the Improvement

Control: The use of the fixture was supervised being mandatory its use, it was used to

comply with the exact dimensions and assure that the measure of the BC is correct (see Figure 27) The reduction of defects was from 90 pieces to 3 These 3 defects occurred because the vinyl was misaligned

Fig 27 Fixture to check the correct dimension of BC

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Successful Projects from the Application of Six Sigma Methodology 115

6 Conclusions

The implementation of these projects has been considered to be a success, since in the project of manufacture of circuits the based line of the project was 3.35 sigma level and the gain 0.37 of sigma Which represent the elimination of 1.88% of nonconforming units or 18,788 PPM´s The second project speaker manufacturing, the initial Cpk was 35 and after the project implementation the resulting Cpk is 2.69 The binder manufacturing process was improved from 90 to 3 defects in a shift

The key factors in these implementations were; team work, multidisciplinary of the team, management commitment, team training and knowledge, communication and project management (Antony & Banuelas, 2002; Byrne, 2003; Henderson & Evans, 2000) Also, the maintenance preventive program was modified to achieve the goal stated at the beginning

of the project 2 It is important to mention that organizations management was very supportive and encouraging with the project teams The Six sigma implementation can be helpful in reducing the nonconforming units or improving the organization quality and personal development The conclusion of these projects has helped establish the objective to

go forward with others Six Sigma implementations This results show that DMAIC methodology is a systematic tool that ensures the success out of a project In addition to the statistical tools that factual information is easier to understand and to show evidence about the veracity of the results, because many of them are very familiar

7 References

Antony, J & Banuelas, R (2002) Key Ingredients for the effective Implementation of six

Sigma Programs Measuring Business Exellence Vol 6, No 4, pp 20-27, ISSN 1368-3047

Byrne, G (2003) Ensuring Optimal Success with Six sigma Implementations Journal of

Organizational Excellence Vol 22, No 2, (Spring 20003), pp 43-50, ISSN

1531-6653

Henderson, K M & Evans, J R (2000) Successful Implementation of Six Sigma:

Benchmarking General Electric Company Benchmarking: An International Journal Vol 7, No 4, pp 260-281, ISSN 1463-5771

Pande, P S.; Neuman, R P & Canavagh, R R (2002) The Six Sigma Way Team Fieldbook, Mc

Graw Hill, ISBN 0-07-137314-4, New York, USA

Pyzdek, T (2003) The Six Sigma Handbook Mc Graw Hill, ISBN 0-07-141015-5, New York,

USA

Stephens, M A (1974) EDF Statistics for Goodness of Fit and Some Comparisons Journal of

the American Statistical Association Vol 69, No 347, (September), pp 730–737, ISSN

0162-1459

Valles, A.; Noriega, S & Sanchez, J (2009) Application of Lean Sigma in a Manufacture

Process of Binders International Journal of Industrial Engineering, Special Issue-Anaheim Conference, (December 2009), pp 412-419, ISSN

1072-4761

Valles, A.; Noriega, S.; Sanchez, J.; Martinez, E & Salinas, J (2009) Six Sigma

Improvement Project for Automotive Speakers in an Assembly Process

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International Journal of Industrial Engineering, Vol.16, No.3, (December 2009), pp

182-190, ISSN 1943-670X

Valles, A.; Sanchez, J.; Noriega, S & Gomez, B (2009) Implementation of Six Sigma in a

Manufacturing Process: A Case Study International Journal of Industrial Engineering,

Vol.16, No.3, (December 2009), pp 171-181, ISSN 1943-670X

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6

Applying Six Sigma Concepts, Techniques and Method for Service Management: Business and

IT Service Management (BSM & ITSM)

Rajesh Radhakrishnan

International Business Machines (IBM), Global Services

USA

1 Introduction

Six Sigma methods and techniques are applied in business & IT projects for product (Goods and Services) & process design (Define, Measure, Analyze, Design and Verify or DMADV) and improvements (Define, Measure, Analyze, Improve and Control or DMAIC) Six sigma methodologies have been applied within the IT Service Management disciplines primarily for Service and Process Improvement and Optimization

Six Sigma methods and techniques have a relatively rich history with the manufacturing industry and tangible products vis-à-vis intangible and perishable services As the services industries look forward to the advent of productization of services or service products, there

is an attempt to minimize variations in service quality via service design and service improvement projects The focus of these projects range from service definition to service systems to service automation (i.e making service less labour intensive) As such, six sigma methods and techniques have a major role to play in both design and improvement of services and service management processes

Even though Six Sigma concepts & techniques can be applied for most if not all IT Service management processes (see ITIL v3 for taxonomy of Service Management processes mapped

to the Service Life Cycle), they will primarily relate to Service Quality Management processes such as:

 Service Availability Management

 Service Capacity Management

 Service Performance Management

 Service Continuity Management

 Service Security Management

 (Service) Event Management

 (Service) Incident Management and

 (Service) Problem Management

This paper discusses six sigma methods (both DMAIDV and DMAIC) and techniques as they apply to the fives stages of Process Maturity (or Service Management Maturity)

 Ad hoc

 Defined

 Measured

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 Matured &

 Optimized

Note: Some of the techniques discussed here are generally used within the Six Sigma and Quality Control and Management context and projects, but are also used in several non six sigma projects and context

Note: Design for Six Sigma (DFSS) has not only been applied to Service Management processes but also for sub-processes such as Root Cause Analysis (RCA) as a sub-process within problem management or Incident Reporting (IR) as a sub-process within incident management

IT Service Management Process Improvement relates to IT Service Management Maturity and the Continuous Process Improvement or CPI program Service Quality is a function of (or depends on) People, Processes, Information and Technology and the maturity level of Service Quality Management as an IT process domain Service Quality Management processes as IT processes play a critical role in understanding and achieving service quality objectives and targets

Service Management as a practice has five maturity levels and each service management domain or IT process can be at different levels of maturity at a given time (see figure 1 below for the five different maturity levels and the corresponding process capabilities / features) Process maturity (and higher ratings of process maturity level) is attained via incremental process improvement projects It is important to note that processes can only be improved from one maturity level to another sequentially It is extremely difficult to skip maturity levels

Fig 1 IT Service Management (ITSM) Process Maturity Levels

Six Sigma DMADV – Define (Process), Measure, Analyze, Design and Verify methodology

is relevant for moving from level 1 to level 2 i.e essentially developing an enterprise wide definition of an IT process and gathering requirements as part of the process design work Six Sigma DMAIC – Define (Process Improvement Problem), Measure, Analyze, Improve and Control as a methodology is relevant for growing the process from maturity level 2 to maturity level 3, 4 and 5

Ad Hoc: Processes are not documented or measured (ineffective); processes are not repeatable; support requirements

are not defined; no support or improvement plan exists Quality is dependant on who performs the activity There is either a lack of process quality or significant variation in process quality

1

Aware (Defined): Processes are defined and documented There is an effort to vet process documentation and

develop an enterprise wide consistent view of the Process Process improvements have begun, although some operational problems require action; customer requirements are understood

2

Capable (Measured): Significant progress has been made so that the processes meet customer needs in an

effective manner; the process goals are aligned with business goals Process metrics and measurement systems are in place Process requirements, performance and capabilities are traced, measured and reported

3

Mature (Improved): Process data is analyzed and Process is managed Processes are competitive and

adaptable to new technology & changing business requirements Highly automated & efficient (i.e technology enabled) Process boundaries cross management domains (i.e multiple working process interfaces)

4

Optimal (Controlled): Process management is focused on strategic direction of customers, optimization

of process and process interfaces across all management domains, and continuous process improvement (CPI) Process control systems are in place to manage deviations and fine tune process capabilities

5

Ad Hoc: Processes are not documented or measured (ineffective); processes are not repeatable; support requirements

are not defined; no support or improvement plan exists Quality is dependant on who performs the activity There is either a lack of process quality or significant variation in process quality

1 Ad Hoc: Processes are not documented or measured (ineffective); processes are not repeatable; support requirements are not defined; no support or improvement plan exists Quality is dependant on who performs the activity There is either a lack of process quality or significant variation in process quality

1

Aware (Defined): Processes are defined and documented There is an effort to vet process documentation and

develop an enterprise wide consistent view of the Process Process improvements have begun, although some operational problems require action; customer requirements are understood

2 Aware (Defined): Processes are defined and documented There is an effort to vet process documentation and develop an enterprise wide consistent view of the Process Process improvements have begun, although some operational problems require action; customer requirements are understood

2

Capable (Measured): Significant progress has been made so that the processes meet customer needs in an

effective manner; the process goals are aligned with business goals Process metrics and measurement systems are in place Process requirements, performance and capabilities are traced, measured and reported

3 Capable (Measured): Significant progress has been made so that the processes meet customer needs in an effective manner; the process goals are aligned with business goals Process metrics and measurement systems are in place Process requirements, performance and capabilities are traced, measured and reported

3

Mature (Improved): Process data is analyzed and Process is managed Processes are competitive and

adaptable to new technology & changing business requirements Highly automated & efficient (i.e technology enabled) Process boundaries cross management domains (i.e multiple working process interfaces)

4 Mature (Improved): Process data is analyzed and Process is managed Processes are competitive and adaptable to new technology & changing business requirements Highly automated & efficient (i.e technology enabled) Process boundaries cross management domains (i.e multiple working process interfaces)

4

Optimal (Controlled): Process management is focused on strategic direction of customers, optimization

of process and process interfaces across all management domains, and continuous process improvement (CPI) Process control systems are in place to manage deviations and fine tune process capabilities

5 Optimal (Controlled): Process management is focused on strategic direction of customers, optimization of process and process interfaces across all management domains, and continuous process improvement (CPI) Process control systems are in place to manage deviations and fine tune process capabilities

5

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Applying Six Sigma Concepts, Techniques and Method

for Service Management: Business and IT Service Management (BSM & ITSM) 119 See figure 2 below

Fig 2 Six Sigma and IT Service Management (ITSM) Process Maturity Levels

2 Process maturity levels

 Ad Hoc (Level 1 )

A process is at maturity level 1, when the enterprise does NOT have an enterprise wide consistent view of the process i.e the process is NOT defined via documentation and published to spread process awareness within the extended enterprise It is likely that certain process activities are defined and implemented in certain silos in the enterprise such

as a business unit or a domain team (e.g an enterprise network team)

Application of six sigma example: several lean six sigma concepts such as reducing or eliminating process waste can be applied during this stage of process maturity

 Defined and Aware (Level 2)

Level 2 maturity implies the process has been well defined; the process definition documents have been vetted among the process community and approved by key process stakeholders as well as published enterprise wide This implies that the enterprise has a consistent view of the process and the different organizations are aware of the process, current process capabilities (activities, interfaces, tools, organization, among others) Process interfaces are also defined There can be several qualitative process improvement projects (type 1 process improvement projects – see section below for a discussion on Type 1 and Type 2 projects) at this level of maturity as the process metrics (critical success factors, key goal indicators, key performance indicators, among others) are understood and documented At this stage of process maturity, the process management team should be focused on managing the process with Management by Objective (MBO) principle

Application of six sigma example: development of smart process metrics that align with the process principles, policies and guidelines A process principle can map to multiple process policies and a process policy can map to multiple process guidelines (detailed guidelines) and rules SMART metrics can directly map to guidelines The principles to policies to guidelines (rules) heirarchy can provide guidance to automate the process and certain process activities

Fishbone or Ishikawa diagrams can be used help define process and process scope As an example: Faulty components impacting service availability is a service availability management process issue while a denial of service attack impacting service availability is a security management process issue

DMADV method directly related to process maturity level 2

 Capable and Measured (Level 3)

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Level 3 maturity implies that the qualitative process improvement projects initiated and completed at Level 2 have improved the process capabilities The process management team has the capability to implement all relevant process activities, process interfaces and process related projects More importantly, the process management is now focused on managing the process with Management by Metrics (MbM) principles This implies that there is a robust and reliable measurement system in place to collect data on the SMART (Specific, Measurable, Attainable, Relevant and Time bound) process metrics At this stage, the process management can initiate type 2 process improvement projects for those process metrics which already have an appropriate measurement system The six sigma DMAIC method directly relates to process maturity levels 3, 4 and 5

Application of six sigma example: development of a measurement system to gather data on specific SMART process metrics that align with the process principles, policies and guidelines

 Improved and Mature (Level 4)

At this level of maturity, the process management team is actively engaged in analyzing the process data and managing the process based on the results of the analysis The process should be performing relatively well on most relevant process Key Performance Indicators (KPIs) based on the results of the improvement projects initiated at Level 2 and Level 3 The process and process capabilities are competitive as several of them have been technology enabled Process is significantly technology enabled and as such is adaptable to changing business needs and requirements Process Interfaces are not only defined, but also implemented and relatively mature Process interfaces with other Business and IT Processes and Services are implemented, mature and efficient Most process improvement projects are type 2 projects

Note: Very few IT organizations reach maturity level 4 and 5

Application of six sigma example: six sigma process improvement projects focused on a specific quantifiable process improvement problem that improves the process along one or more key process metric (SMART metric) Optimized and Controlled (Level 5)

Very few organizations in the world have reached this level of maturity for process management At this level of maturity, process management is focused on process efficiency, optimization and control as well as the strategic direction of the customer (business), and improving alignment with business, optimization of the process, process activities and process interfaces via a set of Type 2 process improvement projects The process management team has also established a process control system to manage process deviations (outliers, drift, among others) i.e a process exception handling system and sustain the process performance at the improved level

Application of six sigma example: six sigma process improvement project focused on the development of one or more control systems focused on specific Process related KPIs ITSM Process specific control systems are being developed by leading IT companies, as a case in point, an intelligent scaling engine or ISE (patented by author) can use real time service and resource data to make analytics based decisions to scale up or down specific services, service components and infrastructure resources that enable the service ISE is specifically applicable to the performance and capacity management as an IT process

3 Type 1 process improvement projects i.e quantitative improvement

projects

These projects occur when the process has reached level 3 or higher levels of maturity (i.e Process measurement systems are in place with process metrics and data for those metrics)

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