Index
Lean Six Sigma in Higher Education
ISBN: 978-1-78769-930-4, eISBN: 978-1-78769-929-8
Publication date: 30 November 2020
This content is currently only available as a PDF
Citation
(2020), "Index", Antony, J. (Ed.) Lean Six Sigma in Higher Education, Emerald Publishing Limited, Leeds, pp. 223-228. https://doi.org/10.1108/978-1-78769-929-820201014
Publisher
:Emerald Publishing Limited
Copyright © 2021 Jiju Antony. Published under exclusive licence
INDEX
ABI/INFORM databases
, 25
Academic freedom
, 47–48
Academic institution
, 13–14
Academic leadership
, 44–45
authors’ perspective
, 20
changing world in twenty-first century
, 14–15
characteristics and environment of academic leaders
, 17–20
future and need for leadership
, 15–17
AlliedSignal
, 2–3
Alternative hypothesis
, 96
Alumni
, 130–131
Analysis of variance (ANOVA)
, 179
Assessment
, 145
Attribute control charts
, 84
Awareness of Lean Six Sigma
, 161–163
Bank of America
, 3
Barriers within Irish University’s Grant Application Process
, 104–106
Benchmarking
, 28
Big Data. See also Six Sigma Big Data (SSBD)
, 8, 171–172
challenge
, 172–173
Six Sigma and
, 175
‘Black box’ effect
, 174
Box plot
, 94–96
Business case
, 62
Capability maturity model
, 145–146
Case studies
DMAIC in HEI
, 185–190
DMAIC in improving library utilisation in HEI
, 215–220
of Lean Six Sigma maturity model
, 142–145
LSS methodology to improving service process in higher education
, 192–214
of VOC in higher education
, 138–139
Cause and effect analysis
, 71–74, 206
Certification for LSS
, 6–7
Challenges
in deployment of LSS
, 43, 45–46
within Irish University’s Grant Application Process
, 104–106
Change management
, 18–20, 142
Characteristics of academic leaders
, 17–20
Coaching
, 19
Collaborative learning
, 38
College of Agriculture and School of Veterinary Medicine (AVPC)
, 199
College of Business (COB)
, 70
“Common cause variation”
, 83–84
Communication
, 19, 46
Constant improvement
, 180
Consumerism
, 132
Continuous improvement (CI)
, 103, 141, 185
strategy
, 132, 134–135
Control charts
, 82–85
Correlation analysis
, 78–80
Cost of poor quality
, 34
Critical Customer Requirements (CCRs)
, 175
Critical success factors
, 32–33
Critical-to-quality (CTQ)
characteristics
, 5, 45
factors
, 125–126, 132–133
items
, 165–166
Cross-functional maps
, 65
Customers
, 49, 56–57, 126–128
alumni
, 130–131
employees
, 131
employers
, 130
government
, 130
in Higher Education Sector
, 128–131
parents of students
, 129–130
students
, 129
Cycle time
, 69
Data revolution
, 171
Decentralisation of education
, 16
Defects, Overproduction, Waiting, Not utilizing talent, Transportation, Inventory, Motion, Excess processing (DOWNTIME processing)
, 86–87
Define, Measure, Analyze, Improve, and Control (DMAIC)
, 3, 62–63
application
, 185–190
framework
, 176
in HEI
, 185–190
in improving library utilisation in HEI
, 215–220
key outcomes and lessons learning
, 190
methodology
, 23, 27–28, 215–220
Department of Education and Skills (DES)
, 104
Deployment flowcharts
, 65
Design for Six Sigma (DFSS)
, 28–29
Design of Experiments (DoE)
, 179
Detailed flowcharts
, 65
Dewey Decimal Classification (DDC)
, 218–219
Employees
, 131
Employers
, 130
Engagement
, 48
Estimated benefits
, 63
Experiential learning
, 32
Expression of interest (EOI)
, 117
Factors
, 145–146
Failure mode and effect analysis (FMEA)
, 91–94, 196
Fishbone analysis
, 188
Fishbone diagram. See Cause and effect analysis
Fisher’s exact test
, 33
Flow
, 103
General Electric (GE)
, 3, 23
Globalisation
, 14–15
Goal statement
, 63
Google Scholar
, 25
Government
, 130
Health Research Board (HRB)
, 105
Higher education (HE). See also Times Higher Education (THE)
, 126–127, 141, 199
case study of VOC in
, 138–139
Lean approaches in
, 29–32
Lean Six Sigma tools for
, 62–98
LSS approaches in
, 32–36
RFs for implementation and deployment of LSS in
, 54–59
Six Sigma approaches in
, 26–29
VOC in
, 131–134
Higher Education Authority (HEA)
, 104
Higher education institutions (HEIs)
, 45, 54, 62–63, 101, 126–127, 200–202
DMAIC in
, 185–190
DMAIC in improving library utilisation in
, 215–220
Higher education sector (HES)
, 43
customers in
, 128–131
viewpoints
, 43–51
Histogram
, 77–79
Holistic improvement strategy and methodology
, 7–8
Honeywell
, 2–3
Human variation
, 9
Hypothesis tests
, 96–98
IEEE Explore databases
, 25
Imbalanced workload
, 204, 211–212
Improvement
, 102–103
In-frame diagram
, 91
Initialization
, 164–166
Innovation
, 6
Input-Process-Output (IPO)
, 186, 186
Institutional involvement
, 18
Intangible benefits
, 63
International Journal of Productivity and Performance Management
, 37
International Journal of Quality and Reliability Management
, 25, 37
Involvement
, 20
Irish Research Council (IRC)
, 105
Irish University’s Grant Application Process, challenges and barriers within
, 104–106
Kano analysis
, 180
Knowledge
, 14–15
economy
, 17
Knowledge Transfer Partnerships (KTPs)
, 130
Language
, 144–145
of change
, 19
Lead time
, 69
Leadership. See also Academic leadership
, 18, 20, 108, 141
future and need for
, 15–17
mental models
, 47–48
models
, 18
Lean
, 3–4, 23–24, 141
approaches in higher education
, 29–32
learning academy
, 30–31
management principles
, 31
marriage
, 4–5
principles
, 24
production system
, 24
Lean Six Sigma (LSS). See also Six Sigma (SS)
, 1, 2, 6, 24, 43, 53, 61, 103, 141, 185
analysis of literature
, 36–37
approaches in higher education
, 32–36
aspects
, 2
awareness and readiness
, 161–163
case study findings
, 142–145
conducting review
, 26
culture
, 9
current state
, 5–7
development of conceptual model
, 145–146
DMAIC methodology
, 35, 196–214
future
, 7–9
history
, 2–10
implementation
, 166–167
initialization
, 164–166
literature review
, 26–36
maturity model
, 141, 147
methodology
, 24–26
methodology to improving service process in higher education
, 192–214
planning review
, 25
preparation
, 163–164
process view
, 5
project management
, 166–167
for public sector organisations
, 5–6
research methodology
, 142–145
revised
, 149
RFs for implementation and deployment of LSS in HE
, 54–59
roadmap
, 161–162
standards for LSS certification
, 6–7
sustaining
, 8–9
sustenance
, 167–168
testing conceptual maturity model
, 148–149
Lean Thinking (LT)
, 1
Levels
, 145–146
MAIC
, 2
Man, Material, Machine, Methods, Measurement, and Mother Nature (6 Ms)
, 73
Management by Objectives (MbO)
, 49
Management commitment and resources
, 56
Manufacturing Extension Partner (MEP)
, 71
Market
, 126
segments
, 126
Master Black Belts (MBBs)
, 141
Master of Business Administration (MBA)
, 27
Mathematics programme
, 126
Mentoring
, 19
Milestones
, 63
Motorola
, 2, 23
Multi-criteria decision-making methodology
, 31–32
Non-value added activities (NVA activities)
, 199
Null hypothesis
, 96
Objective Key Results (OKR)
, 49
Objective-Setting and Review model (OSaR model)
, 142
Observational data
, 8
Open innovation
, 179
Operational Excellence (OE)
, 1, 53, 56
linking operational excellence to university’s strategy
, 57–58
OPEX. See Operational Excellence (OE)
Opportunities for Improvement (OFIs)
, 188–189
Organisational
culture
, 58
environment
, 16
Out-frame diagram
, 91
p-value
, 96–97
Parents of students
, 129–130
Pareto analysis
, 75–77, 216–218
Pay-per-click marketing (PPC marketing)
, 70
Performance of research grant applications
, 103–104
Phenomenological research approach
, 106
Plan Do Check Act model (PDCA model)
, 143
Postgraduate Mathematical programmes market
, 126
Pre-Award centres on campus: College of Engineering (EPC)
, 199
Predictive models
, 172–173
Primary Investigators (PIs)
, 108
Principle Investigators (PIs)
, 192
Problem statement
, 62–63
Process cycle efficiency (PCE)
, 206
Process Improvement Unit (PIU)
, 144
Process map(ping)
, 65–66
Product, Price, Place, Promotion, People, Process, Physical Environment, and Productivity (8Ps)
, 73
Programme Governance
, 166–167
Project
charter
, 62–64, 196
identification
, 164–166
metric
, 62
prioritisation
, 164–166
project-based learning
, 33
resourcing
, 18
scope statement
, 62
selection
, 18
timelines
, 63
title
, 62
types
, 18
Project team
, 63
formation
, 164–166
‘Proposal Effort Score’
, 206–208
Public sector organisations, LSS for
, 5–6
Quacquarelli Symonds (QS)
, 101
World University Rankings
, 103
Qualitative research
, 142
Quality Approaches in Education
, 37
Quality assurance in HE
, 49
Quality function deployment (QFD)
, 24, 137–138
“Random cause variation”
, 83–84
Ranking schemes
, 101
Rapid improvement events (RIEs)
, 143
Readiness
, 53–54
for assessment
, 145
of Lean Six Sigma
, 161–163
Readiness factors (RFs)
, 33, 53–54
for implementation and deployment of LSS in HE
, 54–59
managerial implications
, 59
Research and development (R&D)
, 134
Research funding
, 106
Research grant applications
, 101
challenges and barriers within Irish University’s Grant Application Process
, 104–106
implications of study
, 116
key drivers
, 102–103
key findings
, 107–116
Lean Six Sigma supporting
, 103–104
limitations of study
, 116
methodology
, 106–107
online survey results
, 107–109
recommendations and directions
, 116–118
semi-structured interviews
, 109–116, 110–115
Research grant awards
, 107
Research-led universities
, 102–103
Reward and recognition
, 20
Risk priority number (RPN)
, 212–213
Root cause analysis (RCA)
, 73–75
Run charts
, 80–82
Scatter plots
, 78–81
Science Direct
, 25
Science Foundation Ireland (SFI)
, 105
Selecting Right People
, 58–59
Service
, 103
Silo mentality
, 46, 51
Six Sigma (SS). See also Lean Six Sigma (LSS)
, 1, 4, 173, 179
approaches in higher education
, 26–29
and Big Data principles
, 175
challenges
, 173
launch
, 2–3
marriage
, 4–5
methodology
, 23
Six Sigma Big Data (SSBD)
, 174
proposition
, 173–181
Social cognitive theory
, 53–54
Specific, Measurable, Aggressive but Achievable, Realistic, and Time-bound (SMART)
, 63
Spinouts
, 15–16
Sponsored Program Services (SPS)
, 192
Standard operating procedures (SOPs)
, 85–86, 219–220
Statistical hypothesis testing
, 96
Statistical process control (SPC)
, 181
Statistical regression
, 172–173
Structure of leadership
, 20
Student Records and Examinations Office (SREO)
, 185–186
Student(s)
, 129
retention
, 133
Succession plan
, 9
Supplier–Inputs–Process–Outputs–Customers (SIPOC)
, 65–69, 199
Surroundings, Suppliers, Systems, Service policy, and Skills (5 Ss)
, 73
Sustainability
, 180
of LSS
, 7
Sustenance of LSS
, 167–168
Swim-lane diagrams
, 65–66
Takt time
, 69
Tangible benefits
, 63
Team structure
, 18
Testing conceptual maturity model
, 148–149
TIM WOODS
, 187–188
Times Higher Education (THE). See also Higher education (HE)
, 101
University Impact Rankings
, 103
University Rankings
, 103
World Reputation Ranking
, 103
Tools of Lean Six Sigma
, 61–62
for higher education
, 62–98
Top-down flowcharts
, 65
Total Quality Management (TQM)
, 23
Toyota Production System (TPS)
, 1, 73–75
Training and development
, 19
Transcripts process
, 188
Unbalanced workload
, 208
Universities
, 13, 17, 101
ranking
, 101, 103
strategy
, 57–58
university-wide surveys
, 133
University College Cork (UCC)
, 185
University of North Alabama (UNA)
, 70
VA ration. See Process cycle efficiency (PCE)
Value
, 101, 103
stream
, 49
Value stream map(ping) (VSMs)
, 68–71, 70
Value-added process time (VA process time)
, 199
Variable control charts
, 84
Vice Chancellor (VC)
, 144
Visionary leadership
, 55–56
Voice of the Customer (VOC)
, 5, 29, 56–57, 125–126, 176–177, 196–197
case study
, 138–139
current state
, 131–132
customers
, 126–128
customers in Higher Education Sector
, 128–131
in HE
, 131–134
stages to developing VOC strategy
, 134–138
Waste
, 101, 103–104
analysis
, 86–90, 216
Web of Science
, 25
Whisker plot
, 94
Work in process (WIP)
, 89, 211
Xerox
, 6
- Prelims
- Chapter 1 An Overview of Lean Six Sigma
- Chapter 2 Academic Leadership – Their Culture and Characteristics
- Chapter 3 Lean Six Sigma in Higher Education: State-of-the-Art Findings and Agenda for Future Research
- Chapter 4 Challenges in the Deployment of LSS in the Higher Education Sector: Viewpoints from Leading Academics and Practitioners
- Chapter 5 Readiness Factors for the Implementation and Deployment of Lean Six Sigma (or Operational Excellence) in Higher Education
- Chapter 6 Basic Lean Six Sigma Tools for Higher Education
- Chapter 7 Perceived Non-value Added Activities in the Research Grant Application Process – Through a Lean Six Sigma Lens
- Chapter 8 Voice of the Customer in Higher Education
- Chapter 9 A Lean Six Sigma Maturity Model for Higher Education Institutions
- Chapter 10 Lean Six Sigma Roadmap for Implementation in Higher Education Sector
- Chapter 11 Six Sigma and Big Data
- Chapter 12 Case Studies of LSS in Higher Education
- Index