Shijin Wang
Orcid: 0000-0001-6658-924XAffiliations:
- Fuzhou University, School of Economics and Management, Department of Management Science and Engineering, China
- Tongji University, Department of Management Science and Engineering, Shanghai, China
- Shanghai Jiaotong University, Department of Industrial Engineering and Management, School of Mechanical Engineering, China (PhD 2009)
- University of Cincinnati, center for intelligent maintenance system, IMS, OH, USA (2007 - 2008)
- Zhejiang University of Technology, Department of Industrial Engineering, Hangzhou, China (former)
According to our database1,
Shijin Wang
authored at least 46 papers
between 2007 and 2023.
Collaborative distances:
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Bibliography
2023
Dynamic convolutional gated recurrent unit attention auto-encoder for feature learning and fault detection in dynamic industrial processes.
Int. J. Prod. Res., November, 2023
Int. J. Prod. Res., October, 2023
A matheuristic for flowshop scheduling with batch processing machines in textile manufacturing.
Appl. Soft Comput., September, 2023
An exact decomposition method for unrelated parallel machine scheduling with order acceptance and setup times.
Comput. Ind. Eng., 2023
Simultaneous Production and Transportation Problem to Minimize the Total Cost of Waiting Time and Tardiness.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Sparse one-dimensional convolutional neural network-based feature learning for fault detection and diagnosis in multivariable manufacturing processes.
Neural Comput. Appl., 2022
Approximation approach for robust vessel fleet deployment problem with ambiguous demands.
J. Comb. Optim., 2022
Unrelated parallel machine scheduling problem with special controllable processing times and setups.
Comput. Oper. Res., 2022
An integrated approach for a new flexible multi-product disassembly line balancing problem.
Comput. Oper. Res., 2022
2021
Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes.
Neural Comput. Appl., 2021
Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder.
Int. J. Prod. Res., 2021
Int. J. Prod. Res., 2021
Approximation algorithms for the min-max regret identical parallel machine scheduling problem with outsourcing and uncertain processing time.
Int. J. Prod. Res., 2021
A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions.
Eur. J. Oper. Res., 2021
Wafer map defect recognition based on deep transfer learning-based densely connected convolutional network and deep forest.
Eng. Appl. Artif. Intell., 2021
Comput. Ind. Eng., 2021
2020
Variable neighborhood search-based methods for integrated hybrid flow shop scheduling with distribution.
Soft Comput., 2020
An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production.
Int. J. Prod. Res., 2020
Identical parallel machine scheduling with assurance of maximum waiting time for an emergency job.
Comput. Oper. Res., 2020
An improved formulation and efficient heuristics for the discrete parallel-machine makespan ScheLoc problem.
Comput. Ind. Eng., 2020
Robust (min-max regret) single machine scheduling with interval processing times and total tardiness criterion.
Comput. Ind. Eng., 2020
Comput. Ind. Eng., 2020
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020
2019
Stacked denoising autoencoder-based feature learning for out-of-control source recognition in multivariate manufacturing process.
Qual. Reliab. Eng. Int., 2019
Comput. Oper. Res., 2019
2018
Scheduling on a two-machine permutation flow shop under time-of-use electricity tariffs.
Int. J. Prod. Res., 2018
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018
2017
Algorithms for the joint multitasking scheduling and common due date assignment problem.
Int. J. Prod. Res., 2017
2016
Int. J. Syst. Sci., 2016
Some complexity results and an efficient algorithm for quay crane scheduling problem.
Discret. Math. Algorithms Appl., 2016
Proceedings of the 13th International Workshop on Discrete Event Systems, 2016
2015
A branch-and-price framework for the general double-cycling problem with internal-reshuffles.
Proceedings of the 12th IEEE International Conference on Networking, Sensing and Control, 2015
2013
Theor. Comput. Sci., 2013
Comput. Oper. Res., 2013
Comput. Oper. Res., 2013
A modified support vector data description based novelty detection approach for machinery components.
Appl. Soft Comput., 2013
2012
Theor. Comput. Sci., 2012
Coordinated Drop Shipping Commitment Contract in Dual-Distribution Channel Supply Chain.
J. Electron. Commer. Organ., 2012
2010
An effective heuristic for flexible job-shop scheduling problem with maintenance activities.
Comput. Ind. Eng., 2010
2009
Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes.
Comput. Ind. Eng., 2009
2008
Neurocomputing, 2008
2007
An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks.
Neural Process. Lett., 2007