Index

Applications of Management Science

ISBN: 978-1-78756-652-1, eISBN: 978-1-78756-651-4

ISSN: 0276-8976

Publication date: 20 August 2018

This content is currently only available as a PDF

Citation

(2018), "Index", Applications of Management Science (Applications of Management Science, Vol. 19), Emerald Publishing Limited, Leeds, pp. 183-188. https://doi.org/10.1108/S0276-897620180000019009

Publisher

:

Emerald Publishing Limited

Copyright © 2018 Emerald Publishing Limited


INDEX

Ad-growth percentage
, 45, 46

Ad-to-margin ratio
, 45, 46

Ad-to-sales ratio
, 45, 46

Advertising

expenditures
, 39

impact on sales and profitability in apparel industry
, 37–54

AMPL programming language
, 104, 113

Analytical hierarchy process (AHP)
, 166

Analytic network process (ANP) approach

for EOL product’s collection centers
, 72

hierarchical structure for
, 69

Apparel industry

sales and profitability in, advertising impact on
, 37–54

Apple
, 67

Arms race, athletics
, 4

Benchmarking
, 22, 24, 25, 27, 29–30, 34

Big Data
, 156–157

Biobjective optimization of fleet size with environmental aspects, weighted-sum approach for
, 101–113

algorithms and multi-objective approach
, 104

central processor unit
, 112

Eroski Group
, 104

future work
, 112–113

mathematical models
, 107–110

noise, pollution, and fuel consumption
, 106

obtained results
, 110–112

real input data
, 110

road transportation
, 103

transportation fleet capacity versus number of trucks
, 105

vehicle routing problem
, 103–104

Boundary articulation
, 131–132, 142–143

Breakeven analysis
, 181

Business intelligence/business analytics (BI/BA)
, 155, 157, 158, 175

Capacitated VRP (CVRP)
, 103

CCR model
, 42–43

Chinese drywall
, 119–154

homeowners’ problem
, 121–136

mess
, 147–149, 153

problem structuring
, 121

US Customs and Border Protection problem
, 136–147

Choice rule
, 70

Cluster analysis
, 7–8

College sports
, 4

Constant returns to scale (CRS)
, 45, 46

Consumer durables
, 82, 90, 97

Context articulation
, 132–133, 141, 144

Corporación Cooperativa
, 104

CPLEX solver
, 103, 107, 113

Customer orders
, 68

Cynefin analysis
, 134, 145

Data breach simulation, in Excel
, 165

Data envelopment analysis (DEA)

of intercollegiate athletics efficiency
, 3–17

productivity in telecommunications industry
, 58–60

REIT’s performance
, 23–27, 29–30, 33–34

sales and profitability in apparel industry, advertising impact on
, 38, 40–47, 49, 50, 52–54

Debt equity ratio
, 59, 60

Debt ratio of capital
, 59, 60

Decision-making, multicriteria
, 68, 70, 71, 77

Decision-making units (DMUs)
, 5–8, 12, 14, 17, 25–27

efficiency of
, 58–60

Decision support capabilities, in Excel
, 155–175

analytical tools
, 158–162, 180–181

historical perspective
, 156–158

simulation
, 162–173, 181

Decision support system (DSS)
, 26, 157

Definitive stakeholders
, 122

EBITDA (earnings before interest, taxes, depreciation, and amortization) percentage margin
, 25

Economic manufacturing quantity (EMQ)
, 84

Economies of scale
, 24

Ecorica
, 67

Efficiency

analysis, intercollegiate athletics
, 3–17

of decision-making units
, 58–60

definition of
, 25, 41

frontier
, 27–30

Pareto
, 42

technical
, 24

End-of-life (EOL) product’s collection centers, linear physical programming approach for
, 65–77

analytic network process approach
, 72

literature review
, 68–70

nomenclature
, 72–73

numerical example
, 74–77

problem formulation
, 73–74

problem statement
, 70–71

Enterprise warranty costs (EWC)
, 82–85, 89–92, 94–97

Enterprise warranty programs, for two-dimensional policies with multiple objectives
, 81–98

literature review
, 83–85

model development
, 85–92

results
, 92–96

Eroski Group
, 104, 110, 113

Exact method
, 103, 112, 117

Excel, decision support capabilities in
, 155–175

analytical tools
, 158–162, 180–181

historical perspective
, 156–158

simulation
, 162–173, 181

Expectant stakeholders
, 122

Expected warranty costs
, 88–89

Extended producer stewardship
, 67

Extended warranty
, 83–85, 87, 97

Force field diagram
, 132, 133, 144

Fractional linear model
, 59

Free replacement
, 83

Fuel consumption
, 106

Fuji
, 66

Fundamental objectives hierarchy
, 127–128, 140, 141

Game-theoretic approach to service contracts
, 84

Geographical Information Systems (GIS)
, 166–173

Green vehicle routing problems (G-VRPs)
, 102, 103, 105, 107, 110–112

Gross margin ratio
, 38

Growth of the firm
, 38

Heterogeneous fleet
, 102, 105, 107, 111, 113

Holding cost
, 84

Homeowners’ problem
, 121–136

how perspective analysis
, 134–135

what perspective analysis
, 127–129

when perspective analysis
, 135–136

where perspective analysis
, 131–133

who perspective analysis
, 122–126

why perspective analysis
, 130–131

Homogeneous fleet
, 111

How perspective analysis

homeowners’ problem
, 134–135

US CBP problem
, 145–146

Inspection cost
, 84

Intercollegiate athletics efficiency, DEA analysis of
, 3–17

cluster analysis and sample size requirements
, 7–8

data collection
, 7

efficiency scores
, 10–13

input and output inefficiencies
, 12–16

model inputs
, 8–9

model outputs
, 10

sample size and missing data
, 7

Intervention timing
, 135, 146

Inventory control
, 68

Isocost warranty
, 84

Jamaica
, 4

Lagrangian heuristic approach
, 69

Latent stakeholders
, 122

Leveraging
, 24

Linear physical programming (LPP) approach, for EOL product’s collection centers
, 65–77

analytic network process approach
, 72

literature review
, 68–70

nomenclature
, 72–73

numerical example
, 74–77

problem formulation
, 73–74

problem statement
, 70–71

Linear programming
, 41, 43

Liquidity
, 22

L-shaped warranty
, 84

Market price
, 59, 60

Market share function
, 87–88

Means-ends network
, 128–129, 140

Mechanism selection
, 134, 145

Mercedes-Benz
, 102

Mixed-integer programming
, 107, 112

Monte-Carlo simulation
, 162

Motivation/feedback analysis
, 130, 141–142

Multi-attribute utility methods
, 166

Multicriteria decision-making
, 68, 70, 71, 77

Multidepot vehicle routing problem with pick-up and delivery and time windows (MDVRPPDTW)
, 104

Multidepot VRP (MDVRP)
, 103

Multi-objective approach
, 104

Multi-objective land allocation (MOLA)
, 166–173

National Association of Collegiate Directors of Athletics (NACDA)
, 7, 10

National Collegiate Athletic Association (NCAA)

Division I Football Bowl Subdivision (FBS)
, 4, 7, 17

Federal Graduation Rate (FGR) database
, 7, 10

Noise
, 103, 106

Nonrenewing warranty
, 83

Objectives articulation
, 127, 140

Office of Postsecondary Education (OPE)

Equity in Athletics Disclosure Act (EADA) database
, 7, 10

One-dimensional policies, for enterprise warranty
, 83

One-way data table
, 158–162, 180

Open vehicle routing problem (OVRP)
, 103

Operational planning
, 70

Original equipment manufacturers (OEMs)
, 66, 67

Output-oriented (O-O) model
, 6

Pareto efficiency
, 42

Performed sensitivity analysis on discount rate
, 84

Periodic maintenance, before and after warranty
, 85

Poisson process
, 87

Pollution
, 106

Pollution routing problem (PRP)
, 104

Portfolio diversification
, 23

Production planning
, 68

Productivity, definition of
, 25

Productivity, in telecommunications industry
, 57–61

data envelopment analysis
, 58–60

Product price
, 83, 87, 90–94, 97

Profit margin
, 38, 45, 47

Pro rata warranty
, 83, 84

Quality function deployment (QFD)
, 70

Real estate investment trusts (REITs) performance, empirical analysis of
, 21–34

data and methodology
, 25–27

empirical analysis
, 27–33

model
, 24–25

previous studies
, 23–24

Rectangular warranty
, 84

Recycling
, 66, 67

Regression analysis
, 179

Reinvestment rate
, 38

Remanufacturing
, 66–70, 72, 73, 77

Repair of products
, 85

Reprocessing
, 66

Return on assets (ROA)
, 23, 38, 39, 45–48, 50

Return on equity (ROE)
, 23, 38, 45–48, 50, 59, 60

Return on investment (ROI)
, 38, 45–48, 58

Reverse supply chain (RSC)
, 67, 68, 70, 73, 77

Rework cost
, 85

Ricoh
, 66

Risk-adjusted performance
, 23

Road transportation
, 102, 103

Sales and profitability in apparel industry, advertising impact on
, 37–54

data and methodology
, 45–46

data envelopment analysis
, 38, 40–47, 49, 50, 52–54

empirical analysis
, 46–53

literature review
, 39–40

Sales growth rate
, 39, 40, 45–48, 50

Sales to profit
, 59, 60

Scroll bar, in Excel
, 158–162, 177–180

Setup cost
, 84

Simple multi-attribute rating technique (SMART)
, 166

Simulation, in Excel
, 162–173, 181

Site-dependent VRP (SDVRP)
, 103

Slack analysis
, 27, 29–31, 34

Spatial optimization
, 166–173

Stakeholders

attitude evaluation
, 123–124, 137–138

attributes
, 122

brainstorming
, 122, 137

classification
, 122, 123, 137

engagement priority
, 125–126, 138–139

management plan
, 126, 139–140

objective mapping
, 124, 138

Stochastic frontier
, 23

Strategic planning
, 68, 70

Systemic decision-making
, 119–154

Tactical planning
, 68, 70

Technical efficiency
, 24

Technique for order preference by similarity to ideal solution (TOPSIS)
, 70

Telecommunications industry, productivity in
, 57–61

Times’ interest coverage ratio (TIE)
, 25, 26

Time scale assessment
, 135, 145

Total asset turnover ratio (TATR)
, 25, 26

Total debt to total equity (TD/TE) ratio
, 25, 26

Transparency
, 22

Triangular warranty
, 84

Two-dimensional policies with multiple objectives, enterprise warranty programs for
, 81–98

literature review
, 83–85

model development
, 85–92

results
, 92–96

Two-way data table
, 158–162, 180–181

Usage rate
, 84

US Customs and Border Protection (CBP) problem
, 136–147

how perspective analysis
, 145–146

what perspective analysis
, 140–141

when perspective analysis
, 146–147

where perspective analysis
, 142–145

who perspective analysis
, 136–140

why perspective analysis
, 141–142

Variable returns to scale (VRS)
, 45, 46

Vehicle routing problem (VRP)
, 103–104

green
, 102, 103, 105, 107, 110–112

Volvo
, 102

VRP with time windows (VRPTW)
, 103

Warranty costs
, 85

expected
, 88–89

Weighted-sum approach, for biobjective optimization of fleet size with environmental aspects
, 101–113

algorithms and multi-objective approach
, 104

central processor unit
, 112

Eroski Group
, 104

future work
, 112–113

mathematical models
, 107–110

noise, pollution, and fuel consumption
, 106

obtained results
, 110–112

real input data
, 110

road transportation
, 103

transportation fleet capacity versus number of trucks
, 105

vehicle routing problem
, 103–104

What perspective analysis

homeowners’ problem
, 127–129

US CBP problem
, 140–141

When perspective analysis

homeowners’ problem
, 135–136

US CBP problem
, 146–147

Where perspective analysis

homeowners’ problem
, 131–133

US CBP problem
, 142–145

Who perspective analysis

homeowners’ problem
, 122–126

US CBP problem
, 136–140

Why perspective analysis

homeowners’ problem
, 130–131

US CBP problem
, 141–142

Zimbabwe
, 4