Agent-based experimental investigations of the robustness of tactical planning and control policies in a softwood lumber supply chain-Reference-Cited by-同舟云学术

Agent-based experimental investigations of the robustness of tactical planning and control policies in a softwood lumber supply chain

Published:2011-02-10 Issue:8 Volume:22 Page:782-799
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Santa-Eulalia L.A.¹²³,Aït-Kadi D.⁴²³,D’Amours S.⁴²³,Frayret J.-M.²³⁵,Lemieux S.²³

Affiliation:

1. a TÉLUQ, Université du Québec à Montréal , 455 rue du Parvis, Québec G1K 9H6, Canada

2. c FORAC Research Consortium , 1065 av. de la Médecine, Québec G1V 0A6, Canada

3. d CIRRELT – Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation , 2325 rue de la Terrasse, Québec G1V 0A6, Canada

4. b Département de Génie Mécanique , Université Laval , 1065 av. de la Médecine, Québec G1V 0A6, Canada

5. e Département de Mathématiques et Génie Industriel , École Polytechnique de Montréal, Université de Montréal , 2900 boulevard Édouard-Montpetit, Montréal QC H3T 1J4, Canada

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537287.2010.543561

Reference34 articles.

1. An advanced agent-based order planning system for dynamic networked enterprises

2. Tactical supply chain planning in the forest products industry through optimization and scenario-based analysis

3. A combined financial and physical flows evaluation for logistic process and tactical production planning: Application in a company supply chain

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Capital equilibrium strategy for uncertain multi-model systems;Information Sciences;2024-01

2. Sustainable Biomass Supply Chain: From Concept to Modeling;Trends in Mathematics;2024

3. A framework for identifying and analysing industry 4.0 scenarios;Journal of Manufacturing Systems;2022-10

4. Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges;International Journal of Production Research;2022-05-12

5. Digital Technologies for Forest Supply Chain Optimization: Existing Solutions and Future Trends;Environmental Management;2018-08-20