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Journal of Education for Business
ISSN: 0883-2323 (Print) 1940-3356 (Online) Journal homepage: http://www.tandfonline.com/loi/vjeb20
Integrating Six Sigma Concepts in an MBA Quality
Management Class
Larry B. Weinstein , Joseph Petrick , Joseph Castellano & Robert J. Vokurka
To cite this article: Larry B. Weinstein , Joseph Petrick , Joseph Castellano & Robert J. Vokurka
(2008) Integrating Six Sigma Concepts in an MBA Quality Management Class, Journal of
Education for Business, 83:4, 233-238, DOI: 10.3200/JOEB.83.4.233-238
To link to this article: http://dx.doi.org/10.3200/JOEB.83.4.233-238
Published online: 07 Aug 2010.
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IntegratingSixSigmaConcepts
inanMBAQualityManagementClass
LARRYB.WEINSTEIN
WRIGHTSTATEUNIVERSITY
DAYTON,OHIO
JOSEPHPETRICK
WRIGHTSTATEUNIVERSITY
DAYTON,OHIO
JOSEPHCASTELLANO
UNIVERSITYOFDAYTON
DAYTON,OHIO
ROBERTJ.VOKURKA
TEXASA&MUNIVERSITY
CORPUSCHRISTI,TEXAS
ABSTRACT.Instructorsfaceenormous
challengesinpresentingeffectiveinstructiononconceptsandtoolsofquality
management.Mosttextbooksfocuson
presentingindividualconceptsortoolsand
failtoaddresscomplexissuesconfronted
inreal-worldproblem-solvingsituations.
Thesupplementaryuseofcasesdoesnot
helpstudentstounderstandthedynamic
challengesthatprofessionalsencounter
inorganizationalsettings.Inthisarticle,
theauthorsdescribeanapproachusedto
directstudentsthroughSixSigmaprocess
improvementprojectsatlocalcompanies
toreinforcethestudents’classroomexperience.Theseprojectsprovideexcellenttools
forenhancinglearningandstrengthening
thebondsbetweenuniversitiesandbusiness
communities.
Keywords:highereducation,masterof
businessadministration,quality,SixSigma,
totalqualitymanagement,totalquality
management
Copyright©2008HeldrefPublications
I
n 1991, in An Open Letter:TQM on
Campus, six senior executives from
AmericanExpress,Ford,IBM,Motorola,
Proctor&Gamble,andXeroxexpressed
a concern of the business community
for universities to integrate total quality
management(TQM)intotheircurricula.
Theywrotethefollowing:
IftheUnitedStatesexpectstoimproveits
globalcompetitiveperformance,business
and academic leaders must close ranks
behindanagendathatstressestheimportance and value of TQM. . . . Academic institutions that are slow to embrace
TQM, at best, miss the opportunity to
lead change and, at worst, run the risk
ofbecominglessrelevanttothebusiness
world.(Robinsonetal.,1991,pp.94–95)
Evans(1996)describedtheresponses
of employees of companies that had
won the Malcolm Baldrige National
Quality Award to a request to list the
10 most important quality-related concepts or skills that any entry-level collegegraduateshouldpossess.However,
amongtherespondents,therewaslittle
emphasis on specific quality tools and
techniques.Rather,theresponsescorrespondedcloselytoacceptedcorevalues
of TQM: customer focus, continuous
process improvement, teamwork, and
participation.
Respondents generally agreed that
collegegraduatesshouldhaveanunderstandingofcustomer–supplierrelationships,knowtheimportanceofviewing
workasaprocessandseekingimprove-
ments, and be able to work independently and in teams. The survey asked
respondents to rate how important it
wasforentry-levelcollegegraduatesto
know specific quality-related concepts
and skills. Evans (1996) adopted these
from a list of 60 items identified in
a 1994 Association to Advance CollegiateSchoolsofBusinessInternational
study (Gitlow, Einspruch, Laredo, &
Percival,1994).Thetop23rankedfactors involved teamwork, communication, customer focus, and continuous
process-improvementissues(Evans).
How well have quality educators
addressed the need to cover these topics?Inasurveysentto104schoolswith
undergraduate and graduate programs
that had indicated in Quality Progress’
SixthAnnualQualityinEducationListingthattheiracademicprogramsoffered
acourseinqualitycontrol,thecorrelationbetweenwhatBaldrigeexpertssaid
shouldbecoveredattheundergraduate
level and what faculty members teachingclassesinqualitymanagementactually emphasized in their undergraduate
programswasonly.06(Weinstein,Petrick,&Saunders,1998).
Weinstein et al. (1998) argued that
educators should improve their skills
in quality curriculum development by
increasingtheirunderstandingofindustry’s requirements for knowledge of
specific quality topics. Educators have
the responsibility to ensure that future
March/April2008
233
managersunderstandtheimportanceof
qualitytoolsandconceptsandhowthey
canbeusedtoimproveorganizations.In
light of the apparent success of corporate training programs, there should be
a heightened urgency for educators to
offerprogramsthatmorecloselymatch
industry needs. Relegating these skills
tosuchcorporateprogramsrelinquishes
amajorresponsibilityofhighereducation to the business community (Weinsteinetal.).
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TheCaseforTeachingQuality
Instructorsinatraditionalclassroom
setting face enormous challenges in
presenting effective instruction in the
concepts and tools of quality management.Mosttextbooksfocusonpresenting individual concepts or tools (e.g.,
understandingvariationbyusingcontrol
charts)andfailtoaddressmorecomplex
issues that graduates confront in realworld problem-solving situations. The
supplementary use of cases, although
animprovementoverusingqualitytools
alone, does not help students to understand the dynamic challenges quality
professionalsencounterinorganizational settings. Educators should recognize
that quality is not just a collection of
facts,theories,andtools.Itisanorientation,awayofthinking,andaculture
of beliefs, values, and behaviors. They
mustteachqualityconceptsandtoolsas
partofacultureofqualitythatsupports
continuousimprovement.Withoutsuch
aculture,effortstoimprovequalitymay
not succeed. As more organizations
introduceanorganizationalculturethat
emphasizesTQM,theneedtodisseminate quality knowledge throughout the
managerial structure increases (Disney,
Crabtree,&Harrison,2000).
Mitra (2004) argued that the role of
academia is to design a curriculum that
exposes students to the essential concepts and methodologies of Six Sigma.
Inthepresentarticle,ourpurposewasto
describeamodelthatincorporatesthese
Six Sigma concepts and methodologies
in a master of business administration
(MBA)qualitymanagementcourse.This
model challenges students to identify
and solve real-world quality problems
by using the Six Sigma method. It also
incorporates those elements that Evans
234
JournalofEducationforBusiness
(1996) identified in his study as being
the most important to employers. Our
purpose is to illustrate an approach that
othereducatorscanusetoenhancetheir
students’educationalexperience.
SixSigma
Six Sigma is a process-focused, statistically based approach to business
improvement that numerous organizationshaveimplementedsuccessfully.It
includes the use of statistical process-
controlconceptsdatingbacktothe1920s
withtheworkofWalterShewhart(1931)
attheWesternElectricHawthorneplant.
Six Sigma is a business improvement
strategyusedtoimprovebusinessprofitability,driveoutwaste,reducecostsof
poorquality,andimprovetheeffectivenessandefficiencyofalloperationsso
as to meet or even exceed customers’
needs and expectations (Bañuelas &
Antony,2001).Companieshaveshown
thattheycanattaindramaticresultsby
applyingSixSigmamethodstowardthe
improvementofprocessquality.Thisis
becausetheSixSigmamethodrequires
that practitioners measure and analyze
theirprocesses.SixSigmaalsorequires
that companies build their business so
thatitiscenteredontherequirementsof
theircustomers,withasmuchdiscipline
and focus on this external activity as
theyapplytointernalprocessimprovementefforts(Blakeslee,1999).
Firms such as Motorola, General
Electric, Allied-Signal (Honeywell),
Asea Brown Boveri (ABB), Lockheed Martin, Polaroid, Sony, Honda,
AmericanExpress,Ford,LearCorporation, Solectron, and many others have
successfully implemented Six Sigma.
Motorola saved $15 billion in an 11yearperiod(McClusky,2000).General
Electricsaved$2billionin1999alone
(Sandholm & Sorqvist, 2002). Raytheonrealizedacumulativegrossfinancial
benefitof$1.8billion(Tatham&Mackertich,2003),andRaytheonSixSigma
projects have generated more than
$1billionincumulativesavings(Barth,
2005). Although Six Sigma initiatives
have focused primarily on improving
the performance of manufacturing processes,theconceptsarewidelyapplied
to nonmanufacturing, administrative,
andservicefunctions.
Organizations that have successfully
implemented Six Sigma have typically reported that this approach enabled
them to reduce costs and improve productivity in their processes, eliminate
errors and improve customer satisfaction in processes, and develop nearly
defect-free new products that delight
customers (Mutize, 2003).Among reasons given for Six Sigma’s success
have been that it achieved bottom-line
results, used a disciplined approach
(i.e.,DMAIC:define,measure,analyze,
improve, and control), required short
project completion times (3–6 months
per project), required clearly defined
measures of success, focused on customersandprocesses,andusedasound
statisticalapproach(Mutize).
Althoughthebodyofknowledgefor
the Six Sigma black belt (expert) is
similar to that of the certified quality
engineer (Munro, 2000), Hoerl (2001)
emphasized that in most cases the role
oftheSixSigmablackbeltisthatofa
leaderofateamworkingonaproblem.
Although the black belt needs statistical tools to perform his or her role,
the black belt needs other vital skills
as well. These include organizational
effectiveness skills, such as team and
project leadership and management
skills. Other soft skills required to be
effective include the ability to clearly
present the project results, both orally
and in writing, and the ability to train
team members (Hoerl). Therefore, we
address not only the technical aspects
of Six Sigma but also the managerial
issues that any team leader should be
abletoaddress.
Six Sigma encompasses the method
ofproblemsolvingandfocusesonoptimization and cultural change. It uses
a well-defined method and an extensive set of quality and statistical tools
(Raisinghani, Ette, Pierce, Cannon, &
Daripaly, 2005). Six Sigma bases its
processesonadefinedfive-stepmethod
calledDMAIC(Mutize,2003):
Define:Selectanappropriatecustomerfocuseddefectorproblem,document
business impact and project deliverablesintheprojectcharter,andform
amultidisciplinaryteam.
Measure:Developafactualunderstanding of current process and locate
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sources of problems, establish an
as-is process map, measure process
capability,andcollectdatatoserveas
abaselineofthecurrentprocess.
Analyze: Identify potential root causes
of defects or sources of variation,
investigate the causes of defects by
using experiments and statistical
analysis, and verify the root causes
ofproblems.
Improve: Eliminate the verified root
causesorreducesourcesofvariation
and demonstrate with data that you
havesolvedtheproblemorthatthere
hasbeenameasurableimprovement.
Control: Implement methods such as
standard operating procedures and
statisticalprocesscontroltoholdthe
gains.
Common tools used in Six Sigma
include descriptive statistics, run chart,
control chart, probability plot, check
sheets,paretochart,brainstorming,nominal group technique, forcefield analysis, cause-and-effect diagram, affinity
diagram, interrelationship digraph, and
scatterdiagram.
Descriptivestatisticsisatabularoutput that summarizes information about
a data set. Run chart is a time series
plot that permits the study of observed
data for trends or patterns over time.
Control chart is a study of variation
at its source-process monitoring and
control and separation of special cause
variationfromcommoncausevariation.
Probabilityplotassessesthevalidityof
normalityassumptions.Checksheetisa
systematicdatarecordingandcompilationfromhistoricalobservations.Pareto
chart separates chronic problems (vital
few from trivial many). Brainstorming
generates new ideas and obtains group
involvement. Nominal group technique
expeditesteamconsensusontherelative
importanceofproblems,issues,orsolutions.Forcefieldanalysisanalyzeswhat
organizationalforcesaresupportingand
drivingtowardasolutionandwhichare
restraining progress. Cause-and-effect
diagram triggers ideas and promotes
a balanced approach in group brainstormingsessions.Affinitydiagramisa
methodtoorganizeandsummarizethe
natural groupings from a large number
of ideas and issues. Interrelationship
digraph(ID)permitssystematicidenti
ficationandanalysisofcause-and-effect
relationships. Scatter diagram is a plot
to assess the relationship between two
variables(Breyfogle,1999).
Thecurriculumcoversthesetopicsin
thegeneralorderinwhichpractitioners
wouldusethesetoolsinaproject.Inthis
way, students learn the tools and then,
within a short period of time, have the
opportunitytousetheminareal-world
situation.Thisapproachreinforces,ina
practical situation, the students’ understandingoftheroleofeachtool.
PrerequisitesforImplementing
SixSigmaProjects
Mitra (2004) proposed that business
and engineering students should have
at least one semester-level course in
statistics that covers topics in descriptivestatistics,measurementscales,certain probability distributions, sampling
schemes, inferential statistics, linear
regression, correlation analysis, and
hypotheses testing methods. The students in our MBA quality class have
coveredthesetopicsintheprerequisite
statistics class for the MBA program.
The class is an elective with a usual
enrollment of 20–30 students. Before
approaching the topic of Six Sigma
techniques,studentsalsoshouldhavea
basic foundation in quality philosophy
and principles. The first class session
will cover several broad topics: definingquality,strategicpriorityofcustomer satisfaction, operational priority of
continual process improvement, qualitysystems,andqualitycosts.Students
needtounderstandthenatureandvalue
of quality management to achieve Six
Sigma performance (Evans & Lindsay,
2004). The class usually begins with a
discussionoftheevolutionofthequality movement and how it has gained
strategic importance in business. An
introduction to the historical types of
qualitysystemsandadiscussionofhow
weidentifyanddesignprocesstomeet
the needs and expectations of internal
andexternalcustomersfollow.
SixSigmaStudentProjectTeams
Studentsalsoneedtounderstandthe
importance of project management.
Among the project management topics the class covers are (a) five-stage
project quality process model (project
initiation, planning, assurance, quality
control, and closure), (b) project-team
charter, (c) projects metrics, and (d)
project standards for Six Sigma closure (Kloppenborg & Petrick, 2002).
Most student teams start as uncoordinated groups, mature into potential
teamsundersoundleadership,andmay
eventuallybecomeempoweredtofunctionasrealteamscomposedofasmall
number of people with complementary
skills who are equally committed to
common purposes, goals, and working approaches for which they hold
themselvesmutuallyaccountable.Class
time constraints and the exacting project expectations force the Six Sigma
studentprojectteamstoacceleratethat
developmentalprocess(Evans&Lindsay,2004).
SixSigmaClassProject
CompletingSixSigmaprojectsinthe
allotted time for a semester or quarter
is extremely difficult and requires the
instructor to carefully plan the course
syllabus. During the first class meeting,theinstructordescribestheproject
requirements in detail. Students introduce themselves to the other members
of the class and state their majors and
relevant work experience. A break in
classtimeprovidesstudentstheopportunitytoformtheirteamsandexamine
projectreportscompletedduringprevious terms. The instructor requires that
each team submit a proposal for its
project by the third class meeting and
sets other interim deadlines to prevent
students from procrastinating in the
developmentoftheirprojects.Although
mostMBAstudentsenrolledintheclass
are employed full time, it often is difficultforthemtoidentifyprojectsatan
early stage of the term. Therefore, the
instructor will find it helpful to have a
numberofprojectstooffertotheteams.
These may originate with alumni or
through contacts in professional organizations or consulting projects. The
instructor provides students with criteriafortheirprojectselection.Thecriteria are part of a conscientious effort to
ensure that each project will culminate
inrecommendationstheclientorganizationcanimplement.Thesecriteriaserve
March/April2008
235
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asguidelinesratherthanasasetofrigid
requirements.
1.The project should involve an existingprocess.
2.Thatprocessshouldeitherhavevalid
dataavailableorbecapableofgenerating data within the time limitation
ofthequarterorsemester.
3.The project should be achievable
withinthecourse’stimeframe.
4.Processchangeshouldbewithinthe
spanofcontroloftheclientorganization’s representative with whom the
studentsareworking.
5.The project should be important to
theteamandtotheorganization.
6.Theprojectshouldhaveahighpotentialforsuccess.
7.Resultsshouldbemeasurable.
8.The project should never be viewed
solelyasanacademicexercise.
UseofTools
After the team identifies a process
foranalysis,itwilluseflowchartingto
defineanddocumentthesystemitwill
study.Aflowchartisagraphicalrepresentationoftheactivitiesinvolvedina
process.Itenablesallteammembersto
understandtheprocess.Theflowchart’s
representation of the system should
contain sufficient detail to incorporate
all of the activities that affect the process outcome under investigation. Studentsoftenwillusemultipleflowcharts,
arranged hierarchically, to capture the
necessaryprocessdetail.
Cause-and-EffectAnalysis
A cause-and-effect diagram (C&E
diagram)depictsthevarioussystemelementsthatmaycontributetoaproblem.
We also refer to the C&E diagram as
anIshikawadiagraminreferencetoits
developer, Kaoru Ishikawa, president
of the Musashi Institute ofTechnology
inTokyo, Japan.The team uses this to
identify possible causes of a specific
problemoreffect,usuallythroughbrainstorming by team members and those
knowledgeableabouttheprocessunder
study(TotalQualityTools,1996).
SamplingPlan
Thestudentteammustdesignameasurement system before it can collect
236
JournalofEducationforBusiness
data.Thisrequiresthattheteamdevelops clear, concise, and detailed operational definitions to ensure consistency
in its data collection. Because the reliability of the data collected early in a
projectiscrucialtotheremainingsteps
oftheproject,theteamshoulduseoperational definitions whenever defining
quality measures (Total Quality Tools,
1996). Each student team develops a
sampling plan to ensure the economic
collection of data and to provide the
best representation of the population,
consistent with the objectives of precisionandreliability.Becausethemethod
the student teams use to select data
will significantly influence the sample
results,eachteammustaddressseveral
questions before establishing a sampling plan: Who should collect data?
What training and documentation is
required?Whenshouldtheteamcollect
data? Where in the process should the
teamcollectdata?Forhowlongshould
theteamcollectdata?Whatsamplesize
shouldtheteamuse?
ProjectDirection:RoleofControl
Chart
Thecontrolchartisoneofthemore
important statistical process control
tools used to evaluate the state of a
process.AmajordecisionforSixSigma
practitioners is what type of control
chart to use and what corresponding
type of data to measure and track. A
control chart provides a graphic comparison of performance data, such as
sample statistics, to compute control
limits drawn on the chart. It is used to
detect assignable causes of variation
in the process. One describes a processthatisoperatingwithoutassignable
causes of variation as stable, predictable, or in a state of statistical control.
Weassumethatvariationfallingoutside
the calculated control limits is not due
torandomcausesbuttoassignableones.
Althoughcontrolchartscanbeeffective
tools for evaluating performance and
improvementinaSixSigmaproject,the
teammustcarefullyevaluatethedifferent charts available to ensure the type
selected can provide the most useful
informationfortheproject.Itsdecision
should take into account factors such
assamplesize,datacharacteristics,and
whetherthedataisanattributeorvariable(Weinstein&Vokurka,2006).
Each team uses its data to create an
appropriate control chart to determine
thestateoftheprocess.Thisisacritical
step in the process because the results
fromusingthecontrolchartwilldetermine the focus of the team’s efforts
fortheremainderoftheproject.Ifthe
studentteamdiscoversthattheprocess
is unstable and exhibits special cause
variation, it will focus on identifying
sourcesofspecialorassignablecauses
ofvariationanddevelopingrecommendationsfortheirelimination.Thismay
involve more detailed flowcharting of
the process and even new data collection.Iftheprocessisstable—thatis,the
analysis determines that only common
cause variation is present—the student
team’s next step will be to perform a
capabilityanalysistodeterminewhether the process is capable of meeting
customer requirements. If the process
is not capable, the student team will
focus on developing recommendations
tomakeitcapableeitherthroughreducing variation in the process, through
shifting the process output so that it
is more closely centered on the customer specification target, or both. If
the capability analysis determines that
theprocessiscapable,thestudentteam
willfocusondevelopingrecommendationstoimprovetheprocessbyfurther
reducingvariationorbyimprovingproductivityorprofitability.
In some cases, special cause variation may result in a desired improvementintheprocess.Ifthespecialcause
improves the system performance, the
team should identify its source and
recommend to incorporate it into the
operatingproceduresfortheprocess.If
it hinders the system performance, the
team should prevent it from recurring
(TotalQualityTools,1996).
CapabilityAnalysis
A stable system that exhibits only
common cause variation may display
too much variation to consistently
meet the customer’s requirements. In
this case, it is necessary to assess the
capability of the system’s performance
throughcapabilityanalysis.Twoindexes practitioners commonly use to mea-
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sureprocesscapabilityareCpandCpk.
Inacapableprocess,bothCpandCpk
values are greater than 1.0. Industry
standards often require companies to
set targets for Cp and Cpk ratios at
values of 1.33 or greater.These values
provideasmallcushionforunexpected
variation in the process. If the capability analysis shows that the process
is not capable, the student team’s recommendations will focus on strategies
for reducing variation in the process,
adjusting the process average in relationtothespecificationtarget,orboth.
To reduce the common cause variation
present, practitioners need to identify
the possible common causes of variability. If the capability analysis demonstratesthattheprocessiscapable,the
team’s recommendations should focus
on improving the process through, for
example,reductionsincostsandvariationorimprovementsinproductivity.
ImplementationPlan
The course emphasizes the importance of developing a thorough implementation plan for each recommendation. The student team’s first step in
thisdevelopmentistogenerateaforce
field analysis for each recommendation. Developed by Lewin (1943), this
toolviewssystemschangeasastruggle
betweendrivingforcesthathelpchange
tooccurandrestrainingforcesthatblock
change.Thestudentteamidentifiesthe
driving and restraining forces that surround each proposed change by brainstorming with the client to rank these
forces and plan a sequence of actions
thatwillreinforcethedrivingforcesand
eliminatetherestrainingforces(Besterfield, Besterfield-Michna, Besterfield,
& Besterfield-Sacre, 1999; Total Quality Tools, 1996). The teams also must
developacost–benefitanalysisforeach
recommendation. This step provides a
reality check to ensure that the final
proposaltotheclientwillincludeonly
cost-effectiverecommendations.
During the last week of the term,
eachteampresentsitsfindingsinclass.
This enables all of the students in the
classtoseeavarietyofapplicationsfor
the techniques they learned during the
term. Each team submits a final report
totheinstructorandtheclient.
ClientFeedback
As a final check of each project’s
value, the instructor sends a feedback
form to all clients at the conclusion of
the term. The organizational representative is asked to evaluate the teams’
effortsusinga5-pointLikertscalethat
recordstherepresentative’sreactionsto
thefollowingstatements:
1.Theprojectimprovedourunderstandingofourprocess.
2.The project provided us with informationorrecommendationsthatwill
resultinsignificantcostsavings.
3.The project provided us with informationorrecommendationsthatwill
significantlyimproveproductivity.
4.The project provided us with informationorrecommendationsthatwill
significantlyimprovequality.
5.Overall, we were very satisfied with
projectoutcomes.
6.Students participating in this project
wereconscientiousandprofessional.
Thefeedbackformasksclientstoestimate the savings realized based on the
team’srecommendationsandtoconsider
if the company would be interested in
hosting another team at their facility. In
the experience of one of us whose studentshavecompletedmorethan100projects,mostcompaniesthatweresurveyed
have expressed positive feedback about
the students’ efforts and welcomed the
opportunitytoworkwiththemagain.
LessonsLearned
Theprogramthatwedescribeinthis
article not only supports the university mission as a metropolitan campus
but also reinforces students’ learning
in the classroom. However, since we
initiatedtheseprojects,wehaveidentified several problems that faculty who
teach similar courses should consider.
First and perhaps foremost, completing these projects in the allotted time
for a semester or quarter is extremely
difficult and requires the instructor to
carefully plan the course syllabus. The
instructor should set interim deadlines
to prevent any team from procrastinatingindevelopingitsproject.Ifanyteam
cannotcompleteitsprojectintheallotted time for the term, team members
havetheoptionoftakinganincomplete
for the term. Second, although most
MBAstudentsenrolledintheclassare
employed full time, often it is difficult
forthemtoidentifyprojectsatanearly
stageoftheterm.Therefore,theinstructorwillfindithelpfultohaveanumber
ofprojectstooffertotheteams.Last,it
isusefultoprovidesomeclasstimefor
studentstomeetwiththeirteams.This
gives the instructor an opportunity to
observe team behaviors and contribute
tothestudents’positiveattitudes(Hansen,2006).Theuseofpeerevaluations
at the end of the quarter also helps to
ensurestudentaccountabilityandgives
studentsagreaterfeelingofcontrolover
theresultsoftheirefforts—inparticular
whentheseevaluationscontributetothe
coursegrade(Hansen).
SummaryandConclusions
Faculty in higher education must be
able to bridge the gap between theory and practice to ensure that future
managers understand the importance
of how quality tools can be used for
organizational improvement. These
projects, focusing on the solution of
real-world problems, have provided an
excellent tool for enhancing learning
and for meeting this challenge. These
projectsalsohaveprovidedameansfor
engaging local quality practitioners in
theuniversity’sactivities.Suchinvolvementstrengthensthebondsbetweenthe
university and the business community
while adding significant value to the
educational experience of the authors’
MBA students. And perhaps—this is
just as important—the students’ efforts
have provided tangible benefits to the
numerous organizations that have chosentoparticipateintheprocess.
NOTES
Dr.LarryB.Weinstein’sresearchinterestsare
organizationalassessment,interfirmcollaboration
andlearning,totalqualitymanagement,andbusinessapplicationsinnonprofitorganizations.
Dr.JosephCastellano’sresearchinterestsare
application of lean thinking and the Toyota ProductionSystem,operationalsystemsformanufacturing,service,andnonprofitorganizations.
Dr. Joseph Petrick’s research interests are
management and organizational ethics, international management, strategic leadership, environmentalmanagement,sustainabledevelopment,
qualityandprojectmanagement,humanresource
management,organizationdevelopment,andbusinessandpublicpolicy.
March/April2008
237
Dr. Robert J. Vokurka’s research interests
are manufacturing strategy, total quality management, purchasing, cycle time management,
performance measurements, and supply chain
management.
Correspondence concerning this article should
be addressed to Dr. Larry B. Weinstein, Wright
StateUniversity,InformationSystemsandOperationsManagement,RajSoinCollegeofBusiness,
Col.GlennHwy.,Dayton,OH45435.
E-mail:larry.weinstein@wright.edu
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:10 11 January 2016
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ISSN: 0883-2323 (Print) 1940-3356 (Online) Journal homepage: http://www.tandfonline.com/loi/vjeb20
Integrating Six Sigma Concepts in an MBA Quality
Management Class
Larry B. Weinstein , Joseph Petrick , Joseph Castellano & Robert J. Vokurka
To cite this article: Larry B. Weinstein , Joseph Petrick , Joseph Castellano & Robert J. Vokurka
(2008) Integrating Six Sigma Concepts in an MBA Quality Management Class, Journal of
Education for Business, 83:4, 233-238, DOI: 10.3200/JOEB.83.4.233-238
To link to this article: http://dx.doi.org/10.3200/JOEB.83.4.233-238
Published online: 07 Aug 2010.
Submit your article to this journal
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Date: 11 January 2016, At: 23:10
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IntegratingSixSigmaConcepts
inanMBAQualityManagementClass
LARRYB.WEINSTEIN
WRIGHTSTATEUNIVERSITY
DAYTON,OHIO
JOSEPHPETRICK
WRIGHTSTATEUNIVERSITY
DAYTON,OHIO
JOSEPHCASTELLANO
UNIVERSITYOFDAYTON
DAYTON,OHIO
ROBERTJ.VOKURKA
TEXASA&MUNIVERSITY
CORPUSCHRISTI,TEXAS
ABSTRACT.Instructorsfaceenormous
challengesinpresentingeffectiveinstructiononconceptsandtoolsofquality
management.Mosttextbooksfocuson
presentingindividualconceptsortoolsand
failtoaddresscomplexissuesconfronted
inreal-worldproblem-solvingsituations.
Thesupplementaryuseofcasesdoesnot
helpstudentstounderstandthedynamic
challengesthatprofessionalsencounter
inorganizationalsettings.Inthisarticle,
theauthorsdescribeanapproachusedto
directstudentsthroughSixSigmaprocess
improvementprojectsatlocalcompanies
toreinforcethestudents’classroomexperience.Theseprojectsprovideexcellenttools
forenhancinglearningandstrengthening
thebondsbetweenuniversitiesandbusiness
communities.
Keywords:highereducation,masterof
businessadministration,quality,SixSigma,
totalqualitymanagement,totalquality
management
Copyright©2008HeldrefPublications
I
n 1991, in An Open Letter:TQM on
Campus, six senior executives from
AmericanExpress,Ford,IBM,Motorola,
Proctor&Gamble,andXeroxexpressed
a concern of the business community
for universities to integrate total quality
management(TQM)intotheircurricula.
Theywrotethefollowing:
IftheUnitedStatesexpectstoimproveits
globalcompetitiveperformance,business
and academic leaders must close ranks
behindanagendathatstressestheimportance and value of TQM. . . . Academic institutions that are slow to embrace
TQM, at best, miss the opportunity to
lead change and, at worst, run the risk
ofbecominglessrelevanttothebusiness
world.(Robinsonetal.,1991,pp.94–95)
Evans(1996)describedtheresponses
of employees of companies that had
won the Malcolm Baldrige National
Quality Award to a request to list the
10 most important quality-related concepts or skills that any entry-level collegegraduateshouldpossess.However,
amongtherespondents,therewaslittle
emphasis on specific quality tools and
techniques.Rather,theresponsescorrespondedcloselytoacceptedcorevalues
of TQM: customer focus, continuous
process improvement, teamwork, and
participation.
Respondents generally agreed that
collegegraduatesshouldhaveanunderstandingofcustomer–supplierrelationships,knowtheimportanceofviewing
workasaprocessandseekingimprove-
ments, and be able to work independently and in teams. The survey asked
respondents to rate how important it
wasforentry-levelcollegegraduatesto
know specific quality-related concepts
and skills. Evans (1996) adopted these
from a list of 60 items identified in
a 1994 Association to Advance CollegiateSchoolsofBusinessInternational
study (Gitlow, Einspruch, Laredo, &
Percival,1994).Thetop23rankedfactors involved teamwork, communication, customer focus, and continuous
process-improvementissues(Evans).
How well have quality educators
addressed the need to cover these topics?Inasurveysentto104schoolswith
undergraduate and graduate programs
that had indicated in Quality Progress’
SixthAnnualQualityinEducationListingthattheiracademicprogramsoffered
acourseinqualitycontrol,thecorrelationbetweenwhatBaldrigeexpertssaid
shouldbecoveredattheundergraduate
level and what faculty members teachingclassesinqualitymanagementactually emphasized in their undergraduate
programswasonly.06(Weinstein,Petrick,&Saunders,1998).
Weinstein et al. (1998) argued that
educators should improve their skills
in quality curriculum development by
increasingtheirunderstandingofindustry’s requirements for knowledge of
specific quality topics. Educators have
the responsibility to ensure that future
March/April2008
233
managersunderstandtheimportanceof
qualitytoolsandconceptsandhowthey
canbeusedtoimproveorganizations.In
light of the apparent success of corporate training programs, there should be
a heightened urgency for educators to
offerprogramsthatmorecloselymatch
industry needs. Relegating these skills
tosuchcorporateprogramsrelinquishes
amajorresponsibilityofhighereducation to the business community (Weinsteinetal.).
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TheCaseforTeachingQuality
Instructorsinatraditionalclassroom
setting face enormous challenges in
presenting effective instruction in the
concepts and tools of quality management.Mosttextbooksfocusonpresenting individual concepts or tools (e.g.,
understandingvariationbyusingcontrol
charts)andfailtoaddressmorecomplex
issues that graduates confront in realworld problem-solving situations. The
supplementary use of cases, although
animprovementoverusingqualitytools
alone, does not help students to understand the dynamic challenges quality
professionalsencounterinorganizational settings. Educators should recognize
that quality is not just a collection of
facts,theories,andtools.Itisanorientation,awayofthinking,andaculture
of beliefs, values, and behaviors. They
mustteachqualityconceptsandtoolsas
partofacultureofqualitythatsupports
continuousimprovement.Withoutsuch
aculture,effortstoimprovequalitymay
not succeed. As more organizations
introduceanorganizationalculturethat
emphasizesTQM,theneedtodisseminate quality knowledge throughout the
managerial structure increases (Disney,
Crabtree,&Harrison,2000).
Mitra (2004) argued that the role of
academia is to design a curriculum that
exposes students to the essential concepts and methodologies of Six Sigma.
Inthepresentarticle,ourpurposewasto
describeamodelthatincorporatesthese
Six Sigma concepts and methodologies
in a master of business administration
(MBA)qualitymanagementcourse.This
model challenges students to identify
and solve real-world quality problems
by using the Six Sigma method. It also
incorporates those elements that Evans
234
JournalofEducationforBusiness
(1996) identified in his study as being
the most important to employers. Our
purpose is to illustrate an approach that
othereducatorscanusetoenhancetheir
students’educationalexperience.
SixSigma
Six Sigma is a process-focused, statistically based approach to business
improvement that numerous organizationshaveimplementedsuccessfully.It
includes the use of statistical process-
controlconceptsdatingbacktothe1920s
withtheworkofWalterShewhart(1931)
attheWesternElectricHawthorneplant.
Six Sigma is a business improvement
strategyusedtoimprovebusinessprofitability,driveoutwaste,reducecostsof
poorquality,andimprovetheeffectivenessandefficiencyofalloperationsso
as to meet or even exceed customers’
needs and expectations (Bañuelas &
Antony,2001).Companieshaveshown
thattheycanattaindramaticresultsby
applyingSixSigmamethodstowardthe
improvementofprocessquality.Thisis
becausetheSixSigmamethodrequires
that practitioners measure and analyze
theirprocesses.SixSigmaalsorequires
that companies build their business so
thatitiscenteredontherequirementsof
theircustomers,withasmuchdiscipline
and focus on this external activity as
theyapplytointernalprocessimprovementefforts(Blakeslee,1999).
Firms such as Motorola, General
Electric, Allied-Signal (Honeywell),
Asea Brown Boveri (ABB), Lockheed Martin, Polaroid, Sony, Honda,
AmericanExpress,Ford,LearCorporation, Solectron, and many others have
successfully implemented Six Sigma.
Motorola saved $15 billion in an 11yearperiod(McClusky,2000).General
Electricsaved$2billionin1999alone
(Sandholm & Sorqvist, 2002). Raytheonrealizedacumulativegrossfinancial
benefitof$1.8billion(Tatham&Mackertich,2003),andRaytheonSixSigma
projects have generated more than
$1billionincumulativesavings(Barth,
2005). Although Six Sigma initiatives
have focused primarily on improving
the performance of manufacturing processes,theconceptsarewidelyapplied
to nonmanufacturing, administrative,
andservicefunctions.
Organizations that have successfully
implemented Six Sigma have typically reported that this approach enabled
them to reduce costs and improve productivity in their processes, eliminate
errors and improve customer satisfaction in processes, and develop nearly
defect-free new products that delight
customers (Mutize, 2003).Among reasons given for Six Sigma’s success
have been that it achieved bottom-line
results, used a disciplined approach
(i.e.,DMAIC:define,measure,analyze,
improve, and control), required short
project completion times (3–6 months
per project), required clearly defined
measures of success, focused on customersandprocesses,andusedasound
statisticalapproach(Mutize).
Althoughthebodyofknowledgefor
the Six Sigma black belt (expert) is
similar to that of the certified quality
engineer (Munro, 2000), Hoerl (2001)
emphasized that in most cases the role
oftheSixSigmablackbeltisthatofa
leaderofateamworkingonaproblem.
Although the black belt needs statistical tools to perform his or her role,
the black belt needs other vital skills
as well. These include organizational
effectiveness skills, such as team and
project leadership and management
skills. Other soft skills required to be
effective include the ability to clearly
present the project results, both orally
and in writing, and the ability to train
team members (Hoerl). Therefore, we
address not only the technical aspects
of Six Sigma but also the managerial
issues that any team leader should be
abletoaddress.
Six Sigma encompasses the method
ofproblemsolvingandfocusesonoptimization and cultural change. It uses
a well-defined method and an extensive set of quality and statistical tools
(Raisinghani, Ette, Pierce, Cannon, &
Daripaly, 2005). Six Sigma bases its
processesonadefinedfive-stepmethod
calledDMAIC(Mutize,2003):
Define:Selectanappropriatecustomerfocuseddefectorproblem,document
business impact and project deliverablesintheprojectcharter,andform
amultidisciplinaryteam.
Measure:Developafactualunderstanding of current process and locate
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sources of problems, establish an
as-is process map, measure process
capability,andcollectdatatoserveas
abaselineofthecurrentprocess.
Analyze: Identify potential root causes
of defects or sources of variation,
investigate the causes of defects by
using experiments and statistical
analysis, and verify the root causes
ofproblems.
Improve: Eliminate the verified root
causesorreducesourcesofvariation
and demonstrate with data that you
havesolvedtheproblemorthatthere
hasbeenameasurableimprovement.
Control: Implement methods such as
standard operating procedures and
statisticalprocesscontroltoholdthe
gains.
Common tools used in Six Sigma
include descriptive statistics, run chart,
control chart, probability plot, check
sheets,paretochart,brainstorming,nominal group technique, forcefield analysis, cause-and-effect diagram, affinity
diagram, interrelationship digraph, and
scatterdiagram.
Descriptivestatisticsisatabularoutput that summarizes information about
a data set. Run chart is a time series
plot that permits the study of observed
data for trends or patterns over time.
Control chart is a study of variation
at its source-process monitoring and
control and separation of special cause
variationfromcommoncausevariation.
Probabilityplotassessesthevalidityof
normalityassumptions.Checksheetisa
systematicdatarecordingandcompilationfromhistoricalobservations.Pareto
chart separates chronic problems (vital
few from trivial many). Brainstorming
generates new ideas and obtains group
involvement. Nominal group technique
expeditesteamconsensusontherelative
importanceofproblems,issues,orsolutions.Forcefieldanalysisanalyzeswhat
organizationalforcesaresupportingand
drivingtowardasolutionandwhichare
restraining progress. Cause-and-effect
diagram triggers ideas and promotes
a balanced approach in group brainstormingsessions.Affinitydiagramisa
methodtoorganizeandsummarizethe
natural groupings from a large number
of ideas and issues. Interrelationship
digraph(ID)permitssystematicidenti
ficationandanalysisofcause-and-effect
relationships. Scatter diagram is a plot
to assess the relationship between two
variables(Breyfogle,1999).
Thecurriculumcoversthesetopicsin
thegeneralorderinwhichpractitioners
wouldusethesetoolsinaproject.Inthis
way, students learn the tools and then,
within a short period of time, have the
opportunitytousetheminareal-world
situation.Thisapproachreinforces,ina
practical situation, the students’ understandingoftheroleofeachtool.
PrerequisitesforImplementing
SixSigmaProjects
Mitra (2004) proposed that business
and engineering students should have
at least one semester-level course in
statistics that covers topics in descriptivestatistics,measurementscales,certain probability distributions, sampling
schemes, inferential statistics, linear
regression, correlation analysis, and
hypotheses testing methods. The students in our MBA quality class have
coveredthesetopicsintheprerequisite
statistics class for the MBA program.
The class is an elective with a usual
enrollment of 20–30 students. Before
approaching the topic of Six Sigma
techniques,studentsalsoshouldhavea
basic foundation in quality philosophy
and principles. The first class session
will cover several broad topics: definingquality,strategicpriorityofcustomer satisfaction, operational priority of
continual process improvement, qualitysystems,andqualitycosts.Students
needtounderstandthenatureandvalue
of quality management to achieve Six
Sigma performance (Evans & Lindsay,
2004). The class usually begins with a
discussionoftheevolutionofthequality movement and how it has gained
strategic importance in business. An
introduction to the historical types of
qualitysystemsandadiscussionofhow
weidentifyanddesignprocesstomeet
the needs and expectations of internal
andexternalcustomersfollow.
SixSigmaStudentProjectTeams
Studentsalsoneedtounderstandthe
importance of project management.
Among the project management topics the class covers are (a) five-stage
project quality process model (project
initiation, planning, assurance, quality
control, and closure), (b) project-team
charter, (c) projects metrics, and (d)
project standards for Six Sigma closure (Kloppenborg & Petrick, 2002).
Most student teams start as uncoordinated groups, mature into potential
teamsundersoundleadership,andmay
eventuallybecomeempoweredtofunctionasrealteamscomposedofasmall
number of people with complementary
skills who are equally committed to
common purposes, goals, and working approaches for which they hold
themselvesmutuallyaccountable.Class
time constraints and the exacting project expectations force the Six Sigma
studentprojectteamstoacceleratethat
developmentalprocess(Evans&Lindsay,2004).
SixSigmaClassProject
CompletingSixSigmaprojectsinthe
allotted time for a semester or quarter
is extremely difficult and requires the
instructor to carefully plan the course
syllabus. During the first class meeting,theinstructordescribestheproject
requirements in detail. Students introduce themselves to the other members
of the class and state their majors and
relevant work experience. A break in
classtimeprovidesstudentstheopportunitytoformtheirteamsandexamine
projectreportscompletedduringprevious terms. The instructor requires that
each team submit a proposal for its
project by the third class meeting and
sets other interim deadlines to prevent
students from procrastinating in the
developmentoftheirprojects.Although
mostMBAstudentsenrolledintheclass
are employed full time, it often is difficultforthemtoidentifyprojectsatan
early stage of the term. Therefore, the
instructor will find it helpful to have a
numberofprojectstooffertotheteams.
These may originate with alumni or
through contacts in professional organizations or consulting projects. The
instructor provides students with criteriafortheirprojectselection.Thecriteria are part of a conscientious effort to
ensure that each project will culminate
inrecommendationstheclientorganizationcanimplement.Thesecriteriaserve
March/April2008
235
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asguidelinesratherthanasasetofrigid
requirements.
1.The project should involve an existingprocess.
2.Thatprocessshouldeitherhavevalid
dataavailableorbecapableofgenerating data within the time limitation
ofthequarterorsemester.
3.The project should be achievable
withinthecourse’stimeframe.
4.Processchangeshouldbewithinthe
spanofcontroloftheclientorganization’s representative with whom the
studentsareworking.
5.The project should be important to
theteamandtotheorganization.
6.Theprojectshouldhaveahighpotentialforsuccess.
7.Resultsshouldbemeasurable.
8.The project should never be viewed
solelyasanacademicexercise.
UseofTools
After the team identifies a process
foranalysis,itwilluseflowchartingto
defineanddocumentthesystemitwill
study.Aflowchartisagraphicalrepresentationoftheactivitiesinvolvedina
process.Itenablesallteammembersto
understandtheprocess.Theflowchart’s
representation of the system should
contain sufficient detail to incorporate
all of the activities that affect the process outcome under investigation. Studentsoftenwillusemultipleflowcharts,
arranged hierarchically, to capture the
necessaryprocessdetail.
Cause-and-EffectAnalysis
A cause-and-effect diagram (C&E
diagram)depictsthevarioussystemelementsthatmaycontributetoaproblem.
We also refer to the C&E diagram as
anIshikawadiagraminreferencetoits
developer, Kaoru Ishikawa, president
of the Musashi Institute ofTechnology
inTokyo, Japan.The team uses this to
identify possible causes of a specific
problemoreffect,usuallythroughbrainstorming by team members and those
knowledgeableabouttheprocessunder
study(TotalQualityTools,1996).
SamplingPlan
Thestudentteammustdesignameasurement system before it can collect
236
JournalofEducationforBusiness
data.Thisrequiresthattheteamdevelops clear, concise, and detailed operational definitions to ensure consistency
in its data collection. Because the reliability of the data collected early in a
projectiscrucialtotheremainingsteps
oftheproject,theteamshoulduseoperational definitions whenever defining
quality measures (Total Quality Tools,
1996). Each student team develops a
sampling plan to ensure the economic
collection of data and to provide the
best representation of the population,
consistent with the objectives of precisionandreliability.Becausethemethod
the student teams use to select data
will significantly influence the sample
results,eachteammustaddressseveral
questions before establishing a sampling plan: Who should collect data?
What training and documentation is
required?Whenshouldtheteamcollect
data? Where in the process should the
teamcollectdata?Forhowlongshould
theteamcollectdata?Whatsamplesize
shouldtheteamuse?
ProjectDirection:RoleofControl
Chart
Thecontrolchartisoneofthemore
important statistical process control
tools used to evaluate the state of a
process.AmajordecisionforSixSigma
practitioners is what type of control
chart to use and what corresponding
type of data to measure and track. A
control chart provides a graphic comparison of performance data, such as
sample statistics, to compute control
limits drawn on the chart. It is used to
detect assignable causes of variation
in the process. One describes a processthatisoperatingwithoutassignable
causes of variation as stable, predictable, or in a state of statistical control.
Weassumethatvariationfallingoutside
the calculated control limits is not due
torandomcausesbuttoassignableones.
Althoughcontrolchartscanbeeffective
tools for evaluating performance and
improvementinaSixSigmaproject,the
teammustcarefullyevaluatethedifferent charts available to ensure the type
selected can provide the most useful
informationfortheproject.Itsdecision
should take into account factors such
assamplesize,datacharacteristics,and
whetherthedataisanattributeorvariable(Weinstein&Vokurka,2006).
Each team uses its data to create an
appropriate control chart to determine
thestateoftheprocess.Thisisacritical
step in the process because the results
fromusingthecontrolchartwilldetermine the focus of the team’s efforts
fortheremainderoftheproject.Ifthe
studentteamdiscoversthattheprocess
is unstable and exhibits special cause
variation, it will focus on identifying
sourcesofspecialorassignablecauses
ofvariationanddevelopingrecommendationsfortheirelimination.Thismay
involve more detailed flowcharting of
the process and even new data collection.Iftheprocessisstable—thatis,the
analysis determines that only common
cause variation is present—the student
team’s next step will be to perform a
capabilityanalysistodeterminewhether the process is capable of meeting
customer requirements. If the process
is not capable, the student team will
focus on developing recommendations
tomakeitcapableeitherthroughreducing variation in the process, through
shifting the process output so that it
is more closely centered on the customer specification target, or both. If
the capability analysis determines that
theprocessiscapable,thestudentteam
willfocusondevelopingrecommendationstoimprovetheprocessbyfurther
reducingvariationorbyimprovingproductivityorprofitability.
In some cases, special cause variation may result in a desired improvementintheprocess.Ifthespecialcause
improves the system performance, the
team should identify its source and
recommend to incorporate it into the
operatingproceduresfortheprocess.If
it hinders the system performance, the
team should prevent it from recurring
(TotalQualityTools,1996).
CapabilityAnalysis
A stable system that exhibits only
common cause variation may display
too much variation to consistently
meet the customer’s requirements. In
this case, it is necessary to assess the
capability of the system’s performance
throughcapabilityanalysis.Twoindexes practitioners commonly use to mea-
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sureprocesscapabilityareCpandCpk.
Inacapableprocess,bothCpandCpk
values are greater than 1.0. Industry
standards often require companies to
set targets for Cp and Cpk ratios at
values of 1.33 or greater.These values
provideasmallcushionforunexpected
variation in the process. If the capability analysis shows that the process
is not capable, the student team’s recommendations will focus on strategies
for reducing variation in the process,
adjusting the process average in relationtothespecificationtarget,orboth.
To reduce the common cause variation
present, practitioners need to identify
the possible common causes of variability. If the capability analysis demonstratesthattheprocessiscapable,the
team’s recommendations should focus
on improving the process through, for
example,reductionsincostsandvariationorimprovementsinproductivity.
ImplementationPlan
The course emphasizes the importance of developing a thorough implementation plan for each recommendation. The student team’s first step in
thisdevelopmentistogenerateaforce
field analysis for each recommendation. Developed by Lewin (1943), this
toolviewssystemschangeasastruggle
betweendrivingforcesthathelpchange
tooccurandrestrainingforcesthatblock
change.Thestudentteamidentifiesthe
driving and restraining forces that surround each proposed change by brainstorming with the client to rank these
forces and plan a sequence of actions
thatwillreinforcethedrivingforcesand
eliminatetherestrainingforces(Besterfield, Besterfield-Michna, Besterfield,
& Besterfield-Sacre, 1999; Total Quality Tools, 1996). The teams also must
developacost–benefitanalysisforeach
recommendation. This step provides a
reality check to ensure that the final
proposaltotheclientwillincludeonly
cost-effectiverecommendations.
During the last week of the term,
eachteampresentsitsfindingsinclass.
This enables all of the students in the
classtoseeavarietyofapplicationsfor
the techniques they learned during the
term. Each team submits a final report
totheinstructorandtheclient.
ClientFeedback
As a final check of each project’s
value, the instructor sends a feedback
form to all clients at the conclusion of
the term. The organizational representative is asked to evaluate the teams’
effortsusinga5-pointLikertscalethat
recordstherepresentative’sreactionsto
thefollowingstatements:
1.Theprojectimprovedourunderstandingofourprocess.
2.The project provided us with informationorrecommendationsthatwill
resultinsignificantcostsavings.
3.The project provided us with informationorrecommendationsthatwill
significantlyimproveproductivity.
4.The project provided us with informationorrecommendationsthatwill
significantlyimprovequality.
5.Overall, we were very satisfied with
projectoutcomes.
6.Students participating in this project
wereconscientiousandprofessional.
Thefeedbackformasksclientstoestimate the savings realized based on the
team’srecommendationsandtoconsider
if the company would be interested in
hosting another team at their facility. In
the experience of one of us whose studentshavecompletedmorethan100projects,mostcompaniesthatweresurveyed
have expressed positive feedback about
the students’ efforts and welcomed the
opportunitytoworkwiththemagain.
LessonsLearned
Theprogramthatwedescribeinthis
article not only supports the university mission as a metropolitan campus
but also reinforces students’ learning
in the classroom. However, since we
initiatedtheseprojects,wehaveidentified several problems that faculty who
teach similar courses should consider.
First and perhaps foremost, completing these projects in the allotted time
for a semester or quarter is extremely
difficult and requires the instructor to
carefully plan the course syllabus. The
instructor should set interim deadlines
to prevent any team from procrastinatingindevelopingitsproject.Ifanyteam
cannotcompleteitsprojectintheallotted time for the term, team members
havetheoptionoftakinganincomplete
for the term. Second, although most
MBAstudentsenrolledintheclassare
employed full time, often it is difficult
forthemtoidentifyprojectsatanearly
stageoftheterm.Therefore,theinstructorwillfindithelpfultohaveanumber
ofprojectstooffertotheteams.Last,it
isusefultoprovidesomeclasstimefor
studentstomeetwiththeirteams.This
gives the instructor an opportunity to
observe team behaviors and contribute
tothestudents’positiveattitudes(Hansen,2006).Theuseofpeerevaluations
at the end of the quarter also helps to
ensurestudentaccountabilityandgives
studentsagreaterfeelingofcontrolover
theresultsoftheirefforts—inparticular
whentheseevaluationscontributetothe
coursegrade(Hansen).
SummaryandConclusions
Faculty in higher education must be
able to bridge the gap between theory and practice to ensure that future
managers understand the importance
of how quality tools can be used for
organizational improvement. These
projects, focusing on the solution of
real-world problems, have provided an
excellent tool for enhancing learning
and for meeting this challenge. These
projectsalsohaveprovidedameansfor
engaging local quality practitioners in
theuniversity’sactivities.Suchinvolvementstrengthensthebondsbetweenthe
university and the business community
while adding significant value to the
educational experience of the authors’
MBA students. And perhaps—this is
just as important—the students’ efforts
have provided tangible benefits to the
numerous organizations that have chosentoparticipateintheprocess.
NOTES
Dr.LarryB.Weinstein’sresearchinterestsare
organizationalassessment,interfirmcollaboration
andlearning,totalqualitymanagement,andbusinessapplicationsinnonprofitorganizations.
Dr.JosephCastellano’sresearchinterestsare
application of lean thinking and the Toyota ProductionSystem,operationalsystemsformanufacturing,service,andnonprofitorganizations.
Dr. Joseph Petrick’s research interests are
management and organizational ethics, international management, strategic leadership, environmentalmanagement,sustainabledevelopment,
qualityandprojectmanagement,humanresource
management,organizationdevelopment,andbusinessandpublicpolicy.
March/April2008
237
Dr. Robert J. Vokurka’s research interests
are manufacturing strategy, total quality management, purchasing, cycle time management,
performance measurements, and supply chain
management.
Correspondence concerning this article should
be addressed to Dr. Larry B. Weinstein, Wright
StateUniversity,InformationSystemsandOperationsManagement,RajSoinCollegeofBusiness,
Col.GlennHwy.,Dayton,OH45435.
E-mail:larry.weinstein@wright.edu
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:10 11 January 2016
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