Transportation - PowerPoint PPT Presentation

About This Presentation
Title:

Transportation

Description:

Ship from Japan to Los Angeles. Rail from Los Angeles to Terminals ... Example: Regal Company (Tools) Special Case. Assignment Problem. Supply at each source 1 ... – PowerPoint PPT presentation

Number of Views:182
Avg rating:3.0/5.0
Slides: 38
Provided by: JVAN3
Category:

less

Transcript and Presenter's Notes

Title: Transportation


1
Transportation
  • Mode Selection
  • Route Selection
  • Shortest Path
  • Minimum Spanning Tree
  • Transportation
  • Assignment
  • TSP
  • Route Sequencing
  • Tanker Scheduling

2
Mode Selection
  • Ship
  • Rail
  • Truck
  • Plane...

Faster
Cheaper
More Variable
3
Mode that minimizes Total Cost
  • Transportation Cost
  • Inventory Costs
  • Source
  • Pipeline
  • Destination - including safety stock

4
Costs
  • Transportation Cost
  • Cost per unit Units
  • Cost per unit
  • /CWT (based on origin, destination, freight,
    weight)
  • /Time (leased, dedicated transportation)

5
Inventory
  • At the plant
  • 1/2 cycle quantity
  • At the warehouse
  • 1/2 cycle quantity
  • Safety stock depends on lead time variability
  • In the pipeline
  • Annual Volume Days in Transit
  • Days per year

6
Example (page 187)
7
Multi-Modal Systems
  • Ship from Japan to Los Angeles
  • Rail from Los Angeles to Terminals
  • Truck from Terminals to Dealerships
  • Where to change mode?
  • How many channels to operate?

8
Route Selection
  • Getting From A to B
  • Underlying Network
  • Roads
  • Airports
  • Telecommunication links
  • Costs of using each link
  • Find the cheapest (shortest) path

9
Example (page 192)
I
84
E
B
84
90
A
132
66
138
120
C
126
90
H
F
60
348
126
156
132
48
J
150
48
D
G
10
Shortest Path Model
11
Applicability
  • Single Origin
  • Single Destination
  • No requirement to visit intermediate nodes
  • No negative cycles

12
Tree of Shortest Paths
  • Find shortest paths from Origin to each node
  • Send n-1 units from origin
  • Get 1 unit to each destination

13
Shortest Path Problem
14
Minimum Spanning Tree
  • Find the cheapest total cost of edges required to
    tie all the nodes together

I
84
E
B
84
90
A
132
66
138
120
C
126
90
H
F
60
348
126
156
132
48
J
150
48
D
G
15
Greedy Algorithm
  • Consider links from cheapest to most expensive
  • Add a link if it does not create a cycle with
    already chosen links
  • Reject the link if it creates a cycle.

16
Whats the difference
  • Shortest Path Problem
  • Riders version
  • Consider the number of riders who will use it
  • Spanning Tree Problem
  • Builders version
  • Consider only the cost of construction

17
Transportation Problem
  • Sources with limited supply
  • Destinations with requirements
  • Cost proportional to volume
  • Multiple sourcing allowed
  • Example Regal Company (Tools)

18
Special Case
  • Assignment Problem
  • Supply at each source 1
  • Requirement at each destination 1
  • Match up suppliers with destinations
  • Hows this different from single sourcing
  • Assigning workers to tasks

19
Application
  • Truckload shipping
  • Loads waiting at customers
  • Trucks sitting at locations
  • Which truck should handle which load?
  • No concern for what to do after that.
  • What are sources
  • What are destinations
  • What are costs?

20
Traveling Salesman Problem
  • Vehicle at depot
  • Customers to be served (visited)
  • Vehicle must visit all and return to depot
  • Minimize travel cost

21
Example
  • Full Service Business
  • Driver at Service Center
  • Assigned vending machines to visit
  • What order should he visit to minimize the time
    to complete the work and get back to the depot?

22
Extensions
  • If the customers involve transportation
  • Customers truck load shipments
  • If more than one salesman involved
  • Construct routes for the 7 drivers at the North
    Metro Service center
  • If the vehicle has capacity
  • LTL deliveries
  • If we intersperse pickups and deliveries
  • If there are time windows on service

23
Basic TSP
  • Data issues
  • Estimate distance by location
  • Calculate point to point distances
  • Calculate point to point costs

24
Heuristics
  • Cluster first Route Second
  • Build delivery zones with approximately equal
    work.
  • Route a vehicle in each zone
  • Clustering Approaches
  • Assign most distant blocks first
  • Sweep
  • Space-filling curve

25
Space-Filling Curve
  • Each point (X,Y) on the map
  • Express X string of 0s and 1s
  • X 16.5 10000.10
  • 12402302202102012-1
    02-2
  • Express Y string of 0s and 1s
  • Y 9.75 01001.11
  • 02412302202112012-1
    12-2
  • Space Filling Number - interleave bits
  • ?(X,Y) 1001000001.1101

26
Properties
  • Every pair (X,Y) has a unique point ?(X,Y)
  • Every point on the line corresponds to a single
    point (X,Y)
  • If ?(X,Y) and ?(X, Y) are close together, (X,Y)
    and (X,Y) tend to be close together.

27
Clustering
  • Compute ?(X,Y) for each customer
  • Sort the customers by their ? values
  • To build N routes
  • Give first 1/Nth of customers to first route
  • Give second 1/Nth of customers to second route
  • ...

28
Routing
  • Each route visits the customers in order of their
    ? values.
  • ? defines a route on the plane that visits every
    point. We visit the customers in the same order
    as that route

29
Route First
  • Build a single large route
  • Assign each vehicle a segment of the route

30
Routing Heuristics
  • Space-Filling Curve
  • Clarke-Wright Savings
  • Nearest Neighbor
  • Nearest Insertion
  • Farthest Insertion
  • 2-interchange

31
2-Interchange
32
2-Interchange
33
2-Interchange
34
2-Interchange
35
Route Sequencing
36
Tanker Scheduling
37
Consolidation
  • Cross docking
  • Multi-stop shipments
  • Larger Orders
  • Delay shipments
  • Consolidate Production
Write a Comment
User Comments (0)
About PowerShow.com