Model and exact solution for a two-echelon inventory routing problem
被引:15
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作者:
Farias, Katyanne
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机构:
Univ Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, FranceUniv Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, France
Farias, Katyanne
[1
]
Hadj-Hamou, Khaled
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机构:
Univ Lyon, INSA Lyon, DISP, F-69621 Villeurbanne, FranceUniv Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, France
Hadj-Hamou, Khaled
[2
]
Yugma, Claude
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机构:
Ecole Mines St Etienne, Site Georges Charpak, Ctr Microelect Provence, F-13541 Gardanne, FranceUniv Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, France
Yugma, Claude
[3
]
机构:
[1] Univ Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, France
[2] Univ Lyon, INSA Lyon, DISP, F-69621 Villeurbanne, France
[3] Ecole Mines St Etienne, Site Georges Charpak, Ctr Microelect Provence, F-13541 Gardanne, France
The classic version of the Inventory Routing Problem considers a system with one supplier that manages the inventory level of a set of customers. The supplier defines when and how much products to supply and how to combine customers in routes while minimising storage and transportation costs. We present a new version of this problem that considers a two-echelon system with indirect deliveries and routing decisions at both levels. In this variant, the products are delivered to customers through distribution centres to meet demands with a minimum total cost. We propose a mathematical formulation and a branch-and-cut algorithm combined with a two-step matheuristic to solve the proposed problem for different inventory policies and routing configurations. Intrinsic new valid inequalities to the two-echelon system are introduced. We analyse the efficiency of the new valid inequalities as well as the already known valid inequalities from the literature. Computational experiments are presented for a new set of benchmark instances. The results show that, for the simplest inventory policy, the proposed method is able to solve small and some medium-scale instances to the proven optimality and find feasible solutions for all instances.
机构:
Univ Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, FranceUniv Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, France
Farias, Katyanne
Hadj-Hamou, Khaled
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lyon, INSA Lyon, DISP, F-69621 Villeurbanne, FranceUniv Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, France
Hadj-Hamou, Khaled
Yugma, Claude
论文数: 0引用数: 0
h-index: 0
机构:
Ecole Mines St Etienne, Ctr Microelect Provence, Site Georges Charpak, F-13541 Gardanne, FranceUniv Grenoble Alpes, CNRS, Grenoble INP, G SCOP, F-38000 Grenoble, France