z-logo
open-access-imgOpen Access
A hybrid heuristic for inventory routing problem
Author(s) -
N. Ramkumar,
P. Subramanian,
T.T. Narendran,
K. Ganesh
Publication year - 2011
Publication title -
international journal of electronic transport
Language(s) - English
Resource type - Journals
eISSN - 1742-6952
pISSN - 1742-6960
DOI - 10.1504/ijet.2011.043113
Subject(s) - vendor , vendor managed inventory , simulated annealing , heuristic , computer science , operations research , routing (electronic design automation) , integer programming , mathematical optimization , inventory management , vehicle routing problem , operations management , supply chain management , supply chain , mathematics , engineering , algorithm , business , artificial intelligence , computer network , marketing
This paper addresses an inventory routing problem in vendor managed inventory systems with explicit consideration of buffer stock levels at warehouses. The problem involves a manufacturer delivering a product to a set of warehouses with available fleet capacity with the objective of minimising transportation and inventory costs. We have developed an integer linear programme (ILP) and proposed a hybrid heuristic for the problem. In the proposed heuristic, inventory is allocated using an ILP, vehicles are allotted to customers on the basis of proximity and routes for vehicles are determined using simulated annealing. The proposed heuristic is validated with different datasets and found to be performing well.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom