A Set-Partitioning-Based Model and Solution Procedure for the SVRP

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A Set-Partitioning-Based Model and Solution Procedure for the SVRP

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... whenever demand exceeds current vehicle capacity recourse action must be taken at extra cost Previous Work on SVRP Markov Decision Process with Approximate ... –

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Title: A Set-Partitioning-Based Model and Solution Procedure for the SVRP


1
A Set-Partitioning-Based Model and Solution
Procedure for the SVRP
  • Rosemary Berger, Jeff Linderoth, Clara Novoa and
    Bob Storer
  • Department of Industrial and Systems Engineering
  • Lehigh University
  • October 21, 2004

2
(Classical) Vehicle Routing Problem
distance, travel time or travel cost
Depot
m identical vehicles
3
(Classical) Vehicle Routing Problem
  • Construct a set of vehicle routes of minimum
    total cost
  • starting and ending at the depot
  • visiting each customer exactly once
  • satisfying any side constraints (capacity,
    duration, time windows)

4
Stochastic Vehicle Routing Problem
  • some elements are random
  • stochastic demands
  • stochastic travel times
  • stochastic customers
  • demand revealed when vehicle arrives at customer
  • planned vehicle route fails at a customer
    whenever demand exceeds current vehicle capacity
  • recourse action must be taken at extra cost

5
Previous Work on SVRP
  • Markov Decision Process with Approximate Dynamic
    Programming
  • wait and see
  • Chance-Constrained Programming
  • first stage solution for which probability of
    failure is constrained to be below a certain
    threshold
  • Stochastic Programming with Recourse
  • first stage solution that minimizes expected cost
    of second stage solution
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