A genetic algorithm for multiple objective dealing with exceptional elements in cellular manufacturing-Reference-Cited by-同舟云学术

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A genetic algorithm for multiple objective dealing with exceptional elements in cellular manufacturing

Published:2003-07 Issue:5 Volume:14 Page:437-446
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Mansouri S. A.¹,Moattar-Husseini S. M.²,Zegordi S. H.³

Affiliation:

1. a Department of Industrial Engineering , Amirkabir University of Technology , Tehran, P.O. Box 15905-4413, Iran E-mail:

2. b Department of Industrial Engineering , Amirkabir University of Technology , P.O. Box 15905-4413, Tehran, Iran E-mail:

3. c Department of Industrial Engineering , Tarbiat Modares University , P.O.Box 14115-111, Tehran, Iran E-mail:

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/10.1080/09537280310001597334

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1. A Mathematical Programming Approach for Multi-Objective Optimization in Designing Flexible Manufacturing Cells;Applied Sciences;2023-06-22

2. Enhancing Scheduling Decision-Making Using a Decision Support System Based on Discrete Event Simulation and Multi-Criteria Heuristic: Mining Case Study;2023

3. Cellular manufacturing design 1996–2021: a review and introduction to applications of Industry 4.0;International Journal of Production Research;2022-09-01

4. Optimization of a multi-objective lean assembly problem with reconfigurable machine cells;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2022-07-12

5. A robust approach to design a single facility layout plan in dynamic manufacturing environments using a permutation-based genetic algorithm;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2016-08-08

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