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Two-level lot-sizing with inventory bounds

Phouratsamay, S-L, Kedad-Sidhoum, S., Pascual, F. (2018) Two-level lot-sizing with inventory bounds. Discrete Optimization, 30 . pp. 1-19. ISSN 1572-5286. (doi:10.1016/j.disopt.2018.05.001) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:69973)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
http://dx.doi.org/10.1016/j.disopt.2018.05.001

Abstract

We study a two-level uncapacitated lot-sizing problem with inventory bounds that occurs in a supply chain composed of a supplier and a retailer. The first level with the demands is the retailer level and the second one is the supplier level. The aim is to minimize the cost of the supply chain so as to satisfy the demands when the quantity of item that can be held in inventory at each period is limited. The inventory bounds can be imposed at the retailer level, at the supplier level or at both levels. We propose a polynomial dynamic programming algorithm to solve this problem when the inventory bounds are set on the retailer level. When the inventory bounds are set on the supplier level, we show that the problem is NP-hard. We give a pseudo-polynomial algorithm which solves this problem when there are inventory bounds on both levels. In the case where demand lot-splitting is not allowed, i.e. each demand has to be satisfied by a single order, we prove that the uncapacitated lot-sizing problem with inventory bounds is strongly NP-hard. This implies that the two-level lot-sizing problems with inventory bounds are also strongly NP-hard when demand lot-splitting is considered.

Item Type: Article
DOI/Identification number: 10.1016/j.disopt.2018.05.001
Uncontrolled keywords: Dynamic programming; Sales; Supply chains, Dynamic lot-sizing; Dynamic programming algorithm; Inventory bounds; Lot sizing problems; Lot splitting; NP-hardness; Pseudopolynomial algorithms; Strongly NP-hard, Problem solving
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Stefan Lupu
Date Deposited: 07 Nov 2018 10:39 UTC
Last Modified: 04 Mar 2024 17:15 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69973 (The current URI for this page, for reference purposes)

University of Kent Author Information

Phouratsamay, S-L.

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