Index
Tatenda Talent Chingono
(University of Johannesburg, South Africa)
Charles Mbohwa
(University of Johannesburg, South Africa)
ISBN: 978-1-80117-195-3, eISBN: 978-1-80117-194-6
Publication date: 8 June 2023
This content is currently only available as a PDF
Citation
Chingono, T.T. and Mbohwa, C. (2023), "Index", Supply Networks in Developing Countries: Sustainable and Humanitarian Logistics in Growing Consumer Markets, Emerald Publishing Limited, Leeds, pp. 145-153. https://doi.org/10.1108/978-1-80117-194-620231012
Publisher
:Emerald Publishing Limited
Copyright © 2023 Tatenda Talent Chingono and Charles Mbohwa
INDEX
Accountability
, 25
Action Aid
, 19
ADRA
, 19
Africa Regional Strategy for Disaster Risk Reduction
, 19
African nations
, 5
African Science and Technology Advisory Group (Af-STAG)
, 100
African Union (AU)
, 19
Agile and lean-based strategies for reverse logistics
, 84
Agile supply chain
, 49–50
Agile supply networks
, 3
Agility
, 52–54, 75
Aid organisations
, 3, 23
Aidmatrix
, 3
Air cargo supply chain
, 64
Airbnb
, 103
American logistics aid networks
, 3
Appointments
, 104
Armed conflict
, 5–6
AU regional strategy
, 32
Avoidance
, 81
Basic humanitarian operations
, 8
Beneficiaries
, 3
Biodiesel
, 80
Bioenergy products
, 80
Bioethanol
, 80
Biogas
, 80
Biomasses
, 80
Blockchains
basics
, 114–115
in humanitarian logistics and SCM
, 115–116
in logistics and supply chain management
, 113–114
prospects of blockchain in logistics and SCM
, 119–120
Boards
, 25
Bosch
, 122
Build-to-order supply chains
, 22
Building Disaster Resilience to Natural Hazards in Sub-Saharan African Regions, Countries and Communities’ programme
, 33
Business planning policy
, 65
Calls
, 104
Carbon credits
, 115
Carbon dioxide
, 80
CARE
, 3
Care International
, 19
Cargo security
, 76
Caribbean region
, 40
Cash and voucher aid (C&V aid)
, 111
Cashless payment systems
, 113
Centralised structures
, 20
Certificates
, 104–105
Chartered Institute of Logistics and Transport
, 24
Clever transportation systems
, 101–102
Clients (see Victims)
Climate change
, 7–8, 31, 38
Climate variability
, 7–8
Closed loop strategies
, 85
CMR1 consignment note
, 104
Collaboration
, 22–23, 67
in humanitarian logistics
, 137
in supply chain management
, 75
Commercial logistics
, 1, 47
Commercial supply chains
, 4
Commodity procurement
, 13
Communication
, 23, 67
theory
, 10
Communities
, 3
Competing values theory
, 10
Computations
, 65
Consolidation
, 21
Contingency planning in Africa
, 11–12
Continuous replenishment supply chain
, 49
Contract negotiation
, 106
Cooperation
, 21
issues
, 76
Coordination
, 21–23, 53, 67
issues
, 76
of research activities
, 139–140
Corporate donors
, 45
Counterfeit products
, 117
Crisis management
, 4
Critical success factors (CSFs)
, 129
Cross-country comparison
, 33
Customers
, 3
service packaging
, 46
Cyclical models
, 70
Data collection in humanitarian logistics
, 137–138
Data governance
, 123
Data innovation
, 91–92
DB Schenker
, 122
De-centralised structures
, 20
Decentralised value chain operations
, 123
Delivery coordination
, 95
Dependability
, 51
Developing nations
, 40
Developing World
, 3, 12
DFID
, 3
Digests
, 80
Digital currency
, 115
Digitalisation of humanitarian aid and logistics
, 111–112
Digitalised communication
, 103–104
Digitalised logistics
, 112–113
Digitised supply chains
, 120–122
Dineo cyclone
, 7–8
Disaster appeals
, 60
Disaster management
, 47–48, 59
cycle
, 57–59
policies for training in
, 23–24
Disaster Management Act 57 of 2002
, 11, 24
Disaster Management Authority of Mozambique
, 12
Disaster Management Institute of South Africa
, 24
Disaster relief
and management
, 21
recommendations for investment in
, 61
theoretical model of
, 70–71
Disaster risk management
, 11–12, 58
Disaster Risk Management Training and Education Centre for Africa
, 24
Disaster risk reduction (DRR)
, 100
science and technology in
, 100
Disasters
, 4–5, 31, 46, 57
AU regional strategy
, 32
climate change
, 38
economic and social impacts of disasters in emerging economies
, 38–39
efficiency of disaster response
, 9
failure to recover
, 43
across globe
, 39–41
population growth in hazard-prone urban areas
, 37
recovering from
, 42
sub-Saharan Africa’s disaster profile
, 32–35
success and failure in recovery outcomes
, 42
and sustainable development in Africa
, 8–9
systematic risk reduction recommendations
, 37
vulnerability and systematic risk
, 35–37
Disposition
, 81
Distributed system
, 115
Distributed transactions
, 110
Documents
, 104
Domain-specific descriptions
, 108
Domestic funding
, 61
Domestic non-governmental organisations
, 22
Donations
, 63
Donors
, 3
Droughts
, 5
Dual-cycle model
, 70–71
E-cash programmes
, 112–113
E-vouchers programmes
, 112–113
Earthquakes
, 4
Effective resource allocation
, 9
Efficiency of disaster response
, 9
El Nino Southern Oscillation phenomenon
, 34
Eline of 2000 in Southern Africa
, 12
Emergency Events Database
, 7
Emerging economies, economic and social impacts of disasters in
, 38–39
Enterprise resource planning
, 99
Epidemics
, 4
European Union (EU)
, 107
Event management
, 112–113
Ex ante public investments
, 35
Extended point of delivery and relief to beneficiaries
, 66–67
Extreme events
, 34
Extreme hydro-meteorological events
, 31
Favio hit Mozambique
, 12
FESTO
, 122
Fleet Forum
, 139–140
Flexibility
, 51, 53–54
Flooding
, 7
Floods
, 4
Forecasting
, 93–94
Foreign donors
, 13–14
Foreigners
, 6–7
Forward logistics
, 81–82
Four-stage standard process model for disaster assistance
, 70
Fourth Industrial Revolution
, 2
Framework agreements
, 105
Fraunhofer Institute
, 121–122
Freight exchanges
, 106
Fritz Institute
, 3, 92
Fully flexible supply chain
, 50
Gatekeeping
, 81
General climate models (GCMs)
, 38
Generic humanitarian supply chains
, 48–51
Generic supply chain
, 51–52
Geographic information systems (GISs)
, 70, 129
Global Impact
, 60
Global sourcing trends
, 54
Governmental institutions
, 61
Governments
, 3, 22
donors
, 45
regulations
, 26
Graphical Evaluation and Review Technique (GERT)
, 69–70
Green logistics
, 2
Gross domestic product (GDP)
, 36
GSCM compliance-centred strategies for reverse logistics
, 83–84
High abstraction model
, 22
Horizontal coordination
, 20, 22
Horn of Africa
, 5
Human capacity building for disaster risk management in Africa
, 23
Human Development Index
, 5
Human resources
, 61
Humanitarian appeal
, 4–5
Humanitarian calamities
, 3
Humanitarian logistics
, 1, 19, 45, 129
academia, humanitarian organisations, and competition
, 134–135
access to research issues
, 134
analysis and review
, 12
background review
, 1–2
blockchains in
, 115–116
building theory of HSC policy
, 19–20
characteristics
, 3, 46
collaboration in humanitarian logistics
, 137
commercial logistics vs.
, 47
communication issues
, 134
contextualisation issues
, 132
coordination and frameworks
, 21–22
data collection in humanitarian logistics
, 137–138
difficult data collection
, 132–133
digitised supply chains and
, 120–122
frameworks and policy
, 20–21
impact of humanitarian logistics research
, 130–131
i-cargo ontologies
, 107–108
in industry 4.0 literature
, 122–123
key humanitarian logistics challenges
, 130
knowledge base
, 106–108
multiplicity of actors
, 22–23
need to avoid fixed and irrelevant logistics networks
, 10–11
and open agendas
, 136–137
operations and IoT in
, 118–119
opportunities and challenges for humanitarian logistics in growing consumer markets
, 140–141
and performance metrics
, 136
policies for training in disaster management
, 23–24
policy and framework challenges of humanitarian logistics in Africa
, 24–26
poorly defined problems
, 131–132
and relief supply chain steps
, 76–77
research, and relevance for practice
, 131–136
research work on
, 13–14
routeing
, 118
security
, 118
tracking
, 118
trust issues
, 134
validation issues
, 133
web of needs
, 106–107
Humanitarian operations
, 47
Humanitarian policy
, 26
Humanitarian relief
, 19
Humanitarian response operations
, 8
Humanitarian supply chains
, 2–4, 48, 69
agility
, 75
applying proper supply chain strategy
, 74
collaboration in supply chain management
, 75
coordination and cooperation issues
, 76
creating supply chain resilience
, 73–74
humanitarian logistics and relief supply chain steps
, 76–77
linear sequence models vs. cyclical models
, 70
mapping supply chain
, 74
model-based strategy for simulation
, 71–73
new culture
, 75
reconsidering supply approach for HL
, 74
relief supply chain management challenges
, 76
supply chain reconfiguration
, 74
supply chain structure
, 76
theoretical model of disaster relief
, 70–71
Humanitarian supply networks
, 2–3
Hydro-meteorological services
, 37
i-cargo ontologies
, 107–108
IBM
, 116
Imbawula heating stoves
, 7
Immutability quality
, 107
Industrial Data Space (IDS)
, 118
Industrial Data Space Association
, 122
Industry 4.0
, 99
basics of blockchains
, 114–115
blockchains in humanitarian logistics and SCM
, 115–116
blockchains in logistics and supply chain management
, 113–114
decentralised value chain operations
, 123
digitalisation of humanitarian aid and logistics
, 111–112
digitalised logistics
, 112–113
digitised supply chains and humanitarian logistics
, 120–122
distributed transactions and long-running work
, 110
ease of paperwork processing freight transportation
, 116–117
expressing technology user agreement
, 111
humanitarian logistics in industry 4. 0 literature
, 122–123
humanitarian logistics knowledge base
, 106–108
identifying counterfeit products
, 117
logistics information requirements
, 109–110
message retraction
, 110
multi-modal routeing algorithms
, 123–124
operations and IoT in humanitarian logistics
, 118–119
prospects of blockchain in logistics and SCM
, 119–120
science and technology in disaster risk reduction
, 100
supply chain service descriptions
, 108–109
TMS
, 101–106
and tracking
, 117–118
Information and communication technologies (ICT)
, 99
Information technology (IT)
, 2, 89
applications for relief organisations
, 91–92
drivers for IT use in SCM
, 93
effectiveness of IT on relief logistics
, 92
forecasting and quantification
, 93–94
HSC and
, 95
order tracking and delivery coordination
, 95
procurement
, 94
recommendations
, 95–96
research constructs
, 89–90
supply chain planning and collaboration
, 94–95
technological shortage
, 90
transaction processing
, 94
usage level
, 90–91
Innovation-centred strategies for reverse logistics
, 84–85
Integrated development plan (IDP)
, 24
Integrated supply chains
, 22
Intelligent transportation systems (ITS)
, 99
Inter-governmental Panel on Climate Change (IPCC)
, 34
International NGOs
, 22
Internet of Things (IoT)
, 99
Inventory consolidation
, 21
Inventory control
, 46
Inventory holding
, 62–63
Inventory management approaches for humanitarian logisticians
, 63
Irpinia earthquake (1980)
, 43
Kamchatka earthquake in Russia (1952)
, 43
Kanbans
, 63
Knowledge chain
, 75
Landslides
, 4
Language
, 11
usage and translation
, 138
Lean supply chain
, 49
Linear sequence models
, 70
Loading ramps
, 65
LogiCo
, 107
LogiServ
, 107
Logistics (see also Humanitarian logistics)
, 22, 81
and environment
, 83
information requirements
, 109–110
logistics 4.0
, 101–102
service providers
, 3
Long-running work
, 110
Man-made disasters
, 3
Manufacturing companies
, 45
Material handling
, 46
Maule catastrophe
, 42
Message retraction
, 110
Military
, 45
organisations
, 22
service providers
, 3
Milk runs
, 63
Mitigation
, 48, 59
Model-based strategy for simulation
, 71–73
Mount Karthala in Comoros
, 34
Mount Nyiragongo in Democratic Republic of the Congo
, 34
Multi-modal routeing algorithms
, 123–124
Municipal Systems Act
, 24
National Disaster Management Organization
, 23–24
Natural catastrophes
, 35
Natural disasters
, 3, 7, 39
Non-governmental organisations (NGOs)
, 2–3, 45, 61, 111
Non-logistics programme units
, 2
Open agendas
, 136–137
Open Logistics Networks
, 108
Operation excellence
, 112
Operational bottlenecks
, 65
Operations Research (OR)
, 70, 129
Order management
, 46
Order tracking
, 95
Overseas Development Institute (ODI)
, 111
Ownership documents
, 115
Oxfam
, 3, 19
Peer-to-peer network (P2P network)
, 114, 121
Performance measurement
, 52
Performance metrics
, 136
Permanent networks
, 20
Photosynthesis
, 80
Planning
, 59–60
Population growth in hazard-prone urban areas
, 37
Positioning
, 62
Postponement
, 53
Pre-positioning of stocks
, 12
Preparation
, 47
Preparedness
, 47, 59–60
Price bargaining
, 105
Price negotiation
, 105
Price sensitivity
, 105
Privacy
, 104
Probabilistic risk assessments
, 33
Problem-solving
, 72
Procurement
, 12–13, 94
Product recovery
, 81
Projects
, 3
Provincial Disaster Management Centre of Western Cape
, 24
Public government donors
, 3
Purchasing
, 62
Purchasing consolidation
, 21
Quality dimensions
, 105–106
Quality trends
, 54
Quantification
, 93–94
Quinscape
, 122
Rain-fed agriculture
, 31
Real-time rerouting
, 118
Reconstruction
, 47
Recourse mobilisation
, 60–61
Recovery
, 48, 59
Recycling
, 79
Red Cross
, 2
Reduce/reuse/recycle processes (R3 processes)
, 51–52
Relationship management theory
, 10, 22
Reliability
, 51
Relief operations
, 59
Relief organisations
, 39
importance of validating findings with
, 138
Relief supply chain
management challenges
, 76
umbrella
, 67
Resilience
, 40
Resource-based view of firm
, 10
Resource description framework (RDF)
, 106–107
Response
, 47, 59
Results sharing and dissemination, importance of
, 138–139
Return freight
, 105
Returns management
, 81
Reverse logistics
, 2–3, 46, 79–80
agile and lean-based strategies for reverse logistics
, 84
barriers to good
, 83
challenges for
, 86
closed loop strategies
, 85
cost implications
, 82
and environment
, 86
GSCM compliance-centred strategies for reverse logistics
, 83–84
impacts
, 82
innovation-centred strategies for reverse logistics
, 84–85
logistics and environment
, 83
product recovery and waste management
, 81
returns management
, 81
Risk profiles
, 33
Salzgitter
, 122
Schaeffler
, 122
Science and technology in disaster risk reduction
, 100
Sequencing supplies in line (SILS)
, 63
Setlog
, 122
SHACL
, 109–110
Short-term management
, 4
SICK
, 122
Simulation
model-based strategy for
, 71–73
models
, 65, 69
Smart contracts
, 115
SmartLog
, 123
Sourcing
, 62
Stakeholders
, 3
groupings of
, 45–46
Stock asset management
, 66
Storms
, 4, 34
Sub-Saharan Africa’s disaster profile
, 32–35
Suplier subassembly
, 63
Supply chain
, 71
agility trends
, 54
analytical frameworks
, 22
channels and network design
, 45
disaster management
, 47–48
flexibility
, 51
future research
, 54
generic humanitarian supply chains
, 48–51
generic supply chain
, 51–52
groupings of stakeholders
, 45–46
humanitarian operations
, 47
humanitarian supply chains
, 48
mapping
, 74
performance measurement
, 52
planning and collaboration
, 94–95
reconfiguration
, 74
resilience
, 73–74
service descriptions
, 108–109
structure
, 76
supply chain management practices applicable during humanitarian relief operations
, 52–54
supply network components of humanitarian aid
, 46
systems
, 2, 57
vulnerability
, 22
Supply chain management (SCM)
, 1, 93, 101, 129
blockchains in
, 115–116
drivers for IT use in
, 93
prospects of blockchain in logistics and SCM
, 119–120
Supply network components of humanitarian aid
, 46
Supply network management (SNM)
, 129
Sustainable development in Africa
, 8–9
Systematic risk
, 35–37
reduction recommendations
, 37
Technology readiness level (TRL)
, 123
Temporary networks
, 20
ThyssenKrupp
, 122
Tracing
, 65
Tracking
, 65
Transaction processing
, 94
Transition phase
, 47
Transparency
, 25
Transport and execution system
, 64
Transport ontologies
, 108
Transportation
, 46
consolidation
, 21
system management
, 64–65
Transportation management systems (TMS)
, 99, 101–106
Transporters
, 46
Tropical storms and cyclones
, 34
Trust
, 103
Tsunami risk
, 35
Uber
, 103
United Nations (UN)
, 4–5, 57
agencies
, 3
relief agencies
, 45
relief organisations
, 22
United Nations International Children’s Emergency Fund (UNICEF)
, 2
United Nations Office for Disaster Risk Reduction (UNDRR)
, 31
Unmanned aerial vehicle systems (UAVs)
, 129
Unpredictable demand and supply
, 9
Urban dwellers
, 32
Urgent reaction
, 47
USAID
, 3
Vajont Dam (1963)
, 43
Vertical coordination
, 20, 22
Victims
, 46
Virtual integration
, 53
Virtual technology integration
, 102
Volcanic eruptions
, 4
Volcanoes
, 34
Vulnerability
, 35–37
of people and economies of Sub-Saharan Africa
, 31
Walmart
, 117
Warehouse management systems
, 99
Warehousing
, 46
Waste management
, 81
Web of needs (WoN)
, 102, 106–107
Wildfires
, 4, 7
World Food Programme (WFP)
, 2
World Vision
, 3
World Vision International
, 19
Wrong assumptions
, 106
WS-Business Activity (WS-BA)
, 110
Xenophobia
, 6–7
- Prelims
- Chapter 1: Humanitarian Logistics, Identifying and Reacting to Disasters
- Chapter 2: Frameworks Supporting Humanitarian Logistics
- Chapter 3: Disasters in Selected Emerging Economies
- Chapter 4: Supply Chain Channels and Network Design
- Chapter 5: Supply Chain Systems and Disaster Management
- Chapter 6: Modelling Humanitarian Supply Chains
- Chapter 7: Strategies and Opportunities for Reverse Logistics
- Chapter 8: Information Technology in Humanitarian Logistics
- Chapter 9: Humanitarian Logistics in the Industry 4.0
- Chapter 10: Humanitarian Logistics: The Way Forward
- Index