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Title: An Improved Approximate Dynamic Programming Method for The Integrated Fleet Sizing and Replenishment Planning Problem with Predetermined Delivery Frequencies
Authors: Aghazadeh, Duygu
Ertogral, Kadir
Keywords: Approximate Dynamic Programming
Fleet sizing
Replenishment planning
Fleet operations
Heuristic algorithms
Approximate dynamic programming
Delivery frequency
Dynamic programming methods
Fix-and-optimise heuristic
Fleet sizing
Planning problem
Replenishment planning
Vehicle ownership
Dynamic programming
Issue Date: 2022
Publisher: Elsevier B.V.
Abstract: In this paper we propose an Improved Approximate Dynamic Programming approach for the integrated fleet sizing and replenishment planning problem utilizing fix and optimize heuristic. The problem is about deciding both the composition of a fleet for distributing a single item and the replenishment planning based on a predetermined delivery frequency. This problem integrates two important logistical issues namely fleet sizing and replenishment planning. The objective is minimizing all relevant costs composed of vehicle ownership, inventory, and approximate routing costs. We show the effectiveness of the proposed solution method on a set of fairly large size randomly generated problem instances. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (
Description: 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022 -- 22 June 2022 through 24 June 2022 -- 148818
ISSN: 2405-8963
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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