Module5 Flashcards

(11 cards)

1
Q

What is a Node (vertex) in supply chain networks?

A
  • Junction point in a network
  • Represents locations like warehouses, terminals, etc.
  • Visual representation: A labelled circle
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2
Q

What is an Arc (edge, link) in supply chain networks?

A
  • Channels for flow between nodes
  • Represents roads, rail tracks, or trade lanes
  • Visual representation: Arrows indicating flow direction
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3
Q

What is the Flow (weight) in network nomenclature?

A
  • Objects passing through nodes and arcs
  • Represents freight, cargo, passengers, etc.
  • Measured by speed, cost, or quantity
  • Maximum flow determined by capacity
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4
Q

What are the types of nodes in a network?

A
  • Source: Origin of flow (no predecessors)
  • Sink: Termination of flow (no successors)
  • Supply: Outflow > Inflow
  • Demand: Inflow > Outflow
  • Transshipment: Inflow = Outflow
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5
Q

Describe the Point-to-Point network structure.

A
  • Traffic across multiple routes
  • Some routes may have low frequency and traffic
  • Results in system-wide inefficiencies
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6
Q

Describe the Hub-and-Spoke network structure.

A
  • Centralised hubs connect various points
  • Results in higher traffic efficiency
  • Example: FedEx’s overnight delivery system
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7
Q

What is the objective of the minimum-cost flow problem?

A
  • Minimise total cost of flow
  • Ensure all supply reaches demand
  • Satisfy fixed supply and demand constraints
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8
Q

What is the Transportation Problem in logistics?

A
  • Minimise total shipping cost
  • Given:
    • Suppliers with fixed supply
    • Destinations with fixed demand
    • Cost matrix for shipping
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9
Q

What is the Assignment Problem?

A
  • Assign agents (e.g., employees) to tasks at minimum cost
  • Each agent assigned exactly one task
  • Example: Assigning delivery vans to routes
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10
Q

What is the Maximum Flow Problem?

A
  • Maximise flow from source to sink
  • Applications:
    • Vehicle flow in transportation
    • Oil flow in pipelines
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11
Q

What is the Shortest Path Problem?

A
  • Find the shortest route between origin and destination
  • Applications:
    • Minimising travel distance
    • Minimising travel cost
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