Models and algorithms for the dynamic-demand joint replenishment problem-Reference-Cited by-同舟云学术

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Models and algorithms for the dynamic-demand joint replenishment problem

Published:2004-07 Issue:13 Volume:42 Page:2667-2678
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Boctor F. F.¹²,Laporte G.³,Renaud J.¹²

Affiliation:

1. a Network Organization Technology Research Center (CENTOR) , Université Laval , Québec, Canada G1K 7P4

2. b Faculté des Sciences de l’Administration , Université Laval , Québec, Canada G1K 7P4

3. c Canada Research Chair in Distribution Management , HEC Montréal , 3000 chemin de la Côte Sainte-Catherine, Montréal, Canada H3T 2A7

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207540410001671660

Reference21 articles.

1. Computational complexity of uncapacitated multi-echelon production planning problems

2. A Heuristic with Lower Bound Performance Guarantee for the Multi-Product Dynamic Lot-Size Problem

3. An economic lot-sizing technique, I: The part-period algorithm

4. Multiproduct dynamic lot-sizing model with coordinated replenishments

5. The Joint Replenishment Problem with Time-Varying Costs and Demands: Efficient, Asymptotic and ε-Optimal Solutions

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1. Integration of sales, inventory, and transportation resource planning by dynamic-demand joint replenishment problem with time-varying costs;Computers & Industrial Engineering;2024-02

2. Scheduling the repair and replacement of individual components in operating systems: a bi-objective mathematical optimization model;Journal of Scheduling;2023-12-21

3. Optimizing a multi-echelon location-inventory problem with joint replenishment: A Lipschitz ϵ-optimal approach using Lagrangian relaxation;Computers & Operations Research;2023-03

4. A Decision Making Framework for Joint Replenishment and Delivery Scheduling Problems Under Mixed Uncertainty;2023

5. A review of the joint replenishment problem from 2006 to 2022;Management System Engineering;2022-11-21

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