Solving a real-world large-scale cutting stock problem: A clustering-assignment-based model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Solving a real-world large-scale cutting stock problem: A clustering-assignment-based model

Published:2022-10-31 Issue: Volume: Page:1-14
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Hao Xinye¹^ORCID,Liu Changchun¹²^ORCID,Liu Maoqi¹²,Zhang Canrong³^ORCID,Zheng Li¹

Affiliation:

1. Department of Industrial Engineering, Tsinghua University, Beijing, China

2. Institute of Operations Research & Analytics, National University of Singapore, Singapore

3. Logistics Engineering and Simulation Laboratory, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

Funder

National Key R&D Program of China

Shenzhen Municipal Science and Technology Innovation Committee

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2133196

Reference27 articles.

1. Enhanced Pseudo-polynomial Formulations for Bin Packing and Cutting Stock Problems

2. A New Linear Programming Approach to the Cutting Stock Problem

3. A column generation heuristic for the two-dimensional two-staged guillotine cutting stock problem with multiple stock size

Cited by 3 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. A Profit Maximization Problem of Equipment Rental and Scheduling with Split Services;IISE Transactions;2024-09-03

2. MMP Net: A feedforward neural network model with sequential inputs for representing continuous multistage manufacturing processes without intermediate outputs;IISE Transactions;2023-09-06

3. A decision support framework for sustainable production planning of paper recycling systems;Computers & Industrial Engineering;2023-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3