A robust optimization model for multi-objective multi-period supply chain planning under uncertainty considering quantity discounts-Reference-Cited by-同舟云学术

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A robust optimization model for multi-objective multi-period supply chain planning under uncertainty considering quantity discounts

Published:2018-04-04 Issue:4 Volume:35 Page:214-228
ISSN:2168-1015
Container-title:Journal of Industrial and Production Engineering
language:en
Short-container-title:Journal of Industrial and Production Engineering

Author:

Rahimi Erfan¹,Paydar Mohammad Mahdi²,Mahdavi Iraj¹,Jouzdani Javid³,Arabsheybani Amir²

Affiliation:

1. Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol - Iran

2. Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran

3. Department of Industrial Engineering, Golpayegan University of Technology, Golpayegan, Iran

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681015.2018.1441195

Reference39 articles.

1. Logistical network design with robustness and complexity considerations

2. Evaluating the impact of operating environments on MRP system nervousness

3. Optimization under uncertainty: state-of-the-art and opportunities

4. A robust optimization model for multi-site production planning problem in an uncertain environment

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1. Capacitated production planning by parallel genetic algorithm for a multi-echelon and multi-site TFT-LCD panel manufacturing supply chain;Applied Soft Computing;2022-09

2. Customer Prioritization Integrated Supply Chain Optimization Model with Outsourcing Strategies;Big Data;2022-04-29

3. Circular economy-driven two-stage supply chain management for nullifying waste;Journal of Cleaner Production;2022-03

4. A robust optimization model under uncertain environment: An application in production planning;Computers & Industrial Engineering;2021-05

5. A coordinated scheduling problem for the supply chain in a flexible job shop machine environment;Operational Research;2021-01-02

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