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101.2平均天数
97中位天数
63最短天数
173最长天数
502025发文量

Paper Review Records

全部论文审稿周期

19 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接

101 天

Local search methods for the cumulative flow shop scheduling problem

作者
Ahmed Missaoui; Janis S. Neufeld; Barry O’Sullivan展开收起
作者单位
University College Cork, Cork, Ireland; Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany展开收起
PDF源文件 DOI 网页
122 天

A global optimization algorithm for signomial geometric problem

作者
Rubia Mara Oliveira Santos展开收起
作者单位
Institute of Mathematics, Federal University of Mato Grosso do Sul, Brazil展开收起
PDF源文件 DOI 网页
90 天

Multi-criteria approach to identify homogeneous groups of universities considering their traditional missions

作者
Samira El Gibari; Carmen Pérez-Esparrells; Trinidad Gómez; Francisco Ruiz展开收起
作者单位
Department of Applied Economics (Mathematics), University of Malaga, Spain; Department of Economics and Public Finance, University Autonoma of Madrid, Spain; UAM-UC3M Research Institute for Higher Education and Science (INAECU), Spain展开收起
PDF源文件 DOI 网页
83 天

A sustainability driven multi-objective model for unified dynamic facility layouts and cellular manufacturing system optimization

作者
Melusi Mithi Sibanda; Jared Padayachee; Glen Bright展开收起
作者单位
School of Mechanical Engineering, Howard College, University of KwaZulu-Natal, Durban, 4041, KwaZulu-Natal, South Africa; Department of Mechanical Engineering, Durban University of Technology, Durban, 4000, KwaZulu-Natal, South Africa展开收起
PDF源文件 DOI 网页
74 天

Integrated optimization of performance-aware flexible job shop scheduling with operation-specific aging-time windows and limited-module machine reconfiguration

作者
Shiduo Ning; Chengjia Yu; Junhao Wang; Yukun Li; Yanjun Shi展开收起
作者单位
School of Mechanical Engineering, Dalian University of Technology, Dalian, China; State Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, Dalian, China展开收起
PDF源文件 DOI 网页
90 天

A hybrid augmented epsilon-constraint approach for bi-objective flexible job shop scheduling considering age, workload, and processing speed in failure modeling

作者
Shabnam Noori-Shahrivar; Rashed Sahraeian; Zeinab Abtahi展开收起
作者单位
Department of Industrial Engineering, College of Engineering, Shahed University, Tehran, Iran; Department of Mechanical and Polymer Engineering, College of Engineering, Lorestan University, Lorestan, Iran展开收起
PDF源文件 DOI 网页

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拟题建议
《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》

样本口径2026 年最近 5 篇有效论文样本

平均审稿62 天

中位数65 天

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