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Paper Abstract and Keywords
Presentation 2025-01-12 13:15
An approximate approach to two-stage stochastic programming models by scenario sampling -- Application to metal recycling process under uncertainty due to machine trouble --
Kazutoshi Sakakibara, Takuro Shimizu, Ryo Takano, Takuya Matsumoto, Nakamura Masaki (Toyama Pref.) MSS2024-47 SS2024-26
Abstract (in Japanese) (See Japanese page) 
(in English) We propose an efficient approximate solution method for two-stage stochastic programming models. In solving the two-stage stochastic programming model, it is computationally difficult to derive the optimal solution for large-scale problems. Therefore, we propose an approximate solution method based on scenario-sampling. We examine a real-world recycling plant problem and show that the proposed method simultaneously improves the accuracy of the solution and reduces the solution time.
Keyword (in Japanese) (See Japanese page) 
(in English) two-stage stochastic programming / scenario-sampling / production scheduling / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 325, MSS2024-47, pp. 29-34, Jan. 2025.
Paper # MSS2024-47 
Date of Issue 2025-01-05 (MSS, SS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MSS2024-47 SS2024-26

Conference Information
Committee MSS SS  
Conference Date 2025-01-12 - 2025-01-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2025-01-MSS-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An approximate approach to two-stage stochastic programming models by scenario sampling 
Sub Title (in English) Application to metal recycling process under uncertainty due to machine trouble 
Keyword(1) two-stage stochastic programming  
Keyword(2) scenario-sampling  
Keyword(3) production scheduling  
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1st Author's Name Kazutoshi Sakakibara  
1st Author's Affiliation Toyama Prefectural University (Toyama Pref.)
2nd Author's Name Takuro Shimizu  
2nd Author's Affiliation Toyama Prefectural University (Toyama Pref.)
3rd Author's Name Ryo Takano  
3rd Author's Affiliation Toyama Prefectural University (Toyama Pref.)
4th Author's Name Takuya Matsumoto  
4th Author's Affiliation Toyama Prefectural University (Toyama Pref.)
5th Author's Name Nakamura Masaki  
5th Author's Affiliation Toyama Prefectural University (Toyama Pref.)
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Speaker Author-1 
Date Time 2025-01-12 13:15:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # MSS2024-47, SS2024-26 
Volume (vol) vol.124 
Number (no) no.325(MSS), no.326(SS) 
Page pp.29-34 
#Pages 6 
Date of Issue 2025-01-05 (MSS, SS) 

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