Managing inventory in a network: Performance bounds for simple policies

Deniz Akturk

doi:10.1016/j.orl.2022.03.003

Managing inventory in a network: Performance bounds for simple policies

Deniz Akturk

Research output: Contribution to journal › Article › peer-review

Abstract

We consider the joint optimization of rebalancing/sourcing inventory on a graph. We focus on the lost-sales setting with customer induced relocations. Through a coupling analysis, we provide worst-case performance bounds, with tight instances, for policies commonly used in practice. We provide further insights on the performance of these policies and discuss cost regimes where they are effective.

Original language	English
Pages (from-to)	315-321
Number of pages	7
Journal	Operations Research Letters
Volume	50
Issue number	3
DOIs	https://doi.org/10.1016/j.orl.2022.03.003
State	Published - May 2022

Keywords

Coupling analysis
Inventory rebalancing
Performance bounds
Reusable resources
Sharing economy

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10.1016/j.orl.2022.03.003

Cite this

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title = "Managing inventory in a network: Performance bounds for simple policies",

abstract = "We consider the joint optimization of rebalancing/sourcing inventory on a graph. We focus on the lost-sales setting with customer induced relocations. Through a coupling analysis, we provide worst-case performance bounds, with tight instances, for policies commonly used in practice. We provide further insights on the performance of these policies and discuss cost regimes where they are effective.",

keywords = "Coupling analysis, Inventory rebalancing, Performance bounds, Reusable resources, Sharing economy",

author = "Deniz Akturk",

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year = "2022",

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KW - Performance bounds

KW - Reusable resources

KW - Sharing economy

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Managing inventory in a network: Performance bounds for simple policies

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Keywords

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