379
Views
9
CrossRef citations to date
0
Altmetric
Articles

Manufacturing process similarity measurement model and application based on process constituent elements

, ORCID Icon, , &
Pages 4205-4227 | Received 16 Oct 2019, Accepted 15 Apr 2020, Published online: 12 May 2020

References

  • Ahn, H., and T. W. Chang. 2018. “Measuring Similarity for Manufacturing Process Models.” IFIP International Conference on Advances in Production Management Systems, 223–231. Springer, Cham.
  • Akhtar, N., M. S. Beg, and H. Javed. 2019. “TextRank Enhanced Topic Model for Query Focussed Text Summarization”. 2019 Twelfth International Conference on Contemporary Computing (IC3) IEEE, 1–6. Noida, India.
  • Alhourani, F. 2013. “Clustering Algorithm for Solving Group Technology Problem with Multiple Process Routings.” Computers & Industrial Engineering 66 (4): 781–790.
  • Alizon, F., S. B. Shooter, and T. W. Simpson. 2006. “Reuse of Manufacturing Knowledge to Facilitate Platform-Based Product Realization.” Journal of Computing and Information Science in Engineering 6 (2): 170–178.
  • Andoni, A., C. Daskalakis, A. Hassidim, and S. Roch. 2012. “Global Alignment of Molecular Sequences via Ancestral State Reconstruction.” Stochastic Processes and Their Applications 122 (12): 3852–3874.
  • Bozorgi-Amiri, A., and S. Asvadi. 2015. “A Prioritization Model for Locating Relief Logistic Centers Using Analytic Hierarchy Process with Interval Comparison Matrix.” Knowledge Based Systems 86: 173–181.
  • Cardone, A., S. K. Gupta, A. Deshmukh, and M. Karnik. 2006. “Machining Feature-Based Similarity Assessment Algorithms for Prismatic Machined Parts.” Computer-aided Design 38 (9): 954–972.
  • Chen, S. M., L. W. Kuo, and X. Y. Zou. 2018. “Multi-attribute Decision Making Based on Shannon’s Information Entropy, Non-Linear Programming Methodology, and Interval-Valued Intuitionistic Fuzzy Values.” Information Sciences 465: 404–424.
  • Ethier, M., and T. Kaczynski. 2014. “Suspension Models for Testing Shape Similarity Methods.” Computer Vision and Image Understanding 121: 13–20.
  • Fan, Z. P., and Y. Liu. 2010. “A Method for Group Decision-Making Based on Multi-Granularity Uncertain Linguistic Information.” Expert Systems with Applications 37 (5): 4000–4008.
  • Fan, Y., C. Liu, and J. Wang. 2018. “Integrating Multi-Granularity Model and Similarity Measurement for Transforming Process Data into Different Granularity Knowledge.” Advanced Engineering Informatics 37: 88–102.
  • Gao, W., S. M. Gao, Y. S. Liu, J. Bai, and B. K. Hu. 2006. “Multiresolutional Similarity Assessment and Retrieval of Solid Models Based on DBMS.” Computer-aided Design 38 (9): 985–1001.
  • Garbie, I. H., H. R. Parsaei, and H. R. Leep. 2005. “Introducing New Parts into Existing Cellular Manufacturing Systems Based on A Novel Similarity Coefficient.” International Journal of Production Research 43 (5): 1007–1037.
  • Garg, H., and K. Kumar. 2018. “Distance Measures for Connection Number Sets Based on Set Pair Analysis and Its Applications to Decision-Making Process.” Applied Intelligence 48 (10): 3346–3359.
  • Gupta, T., and H. I. Seifoddini. 1990. “Production Data Based Similarity Coefficient for Machine-Component Grouping Decisions in the Design of A Cellular Manufacturing System.” International Journal of Production Research 28 (7): 1247–1269.
  • Herrmann, J. W., S. Balasubramanian, and G. Singh. 2000. “Defining Specialized Design Similarity Measures.” International Journal of Production Research 38 (15): 3603–3621.
  • Hillsman, C., Y. Wang, and D. Nazzal. 2013. “A Semi-Automatic Mold Cost Estimation Framework Based Upon Geometry Similarity.” The International Journal of Advanced Manufacturing Technology 68 (5): 1387–1399.
  • Hong, T., K. Lee, and S. Kim. 2006. “Similarity Comparison of Mechanical Parts to Reuse Existing Designs.” Computer-aided Design 38 (9): 973–984.
  • Hsu, S. H., T. C. Hsia, and M. C. Wu. 1997. “A Flexible Classification Method for Evaluating the Utility of Automated Workpiece Classification System.” The International Journal of Advanced Manufacturing Technology 13 (9): 637–648.
  • Huang, M. G., P. L. Chang, and Y. C. Chou. 2003. “Fast Algorithm for Evaluating the Similarity of Manufacturing Processes Within a Dynamic Production Environment.” International Journal of Production Research 41 (17): 4171–4183.
  • Huang, R., S. Zhang, X. Bai, C. Xu, and B. Huang. 2015. “An Effective Numerical Control Machining Process Reuse Approach By Merging Feature Similarity Assessment and Data Mining for Computer-Aided Manufacturing Models.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 229 (7): 1229–1242.
  • Jiang, Y. J., J. Chen, and X. Y. Ruan. 2006. “Fuzzy Similarity-Based Rough Set Method for Case-Based Reasoning and its Application in Tool Selection.” International Journal of Machine Tools & Manufacture 46 (2): 107–113.
  • Jin, Y., R. Abella, E. Ares, M. F. Troncoso, J. Briggs, M. Price, and R. Burke. 2013. “Modeling and Digital Tool Development of A New Similarity Metric for Aerospace Production.” The International Journal of Advanced Manufacturing Technology 69 (1): 777–795.
  • Lastra-Díaz, J. J., A. García-Serrano, M. Batet, M. Fernández, and F. Chirigati. 2017. “HESML: A Scalable Ontology-Based Semantic Similarity Measures Library with a Set of Reproducible Experiments and a Replication Dataset.” Information Systems 66: 97–118.
  • Li, Y., Y. He, T. Huang, and L. Wang. 2018. “Lightweight Design Method Considering Environmental Impacts in Products Manufacturing Stage.” Computer Integrated Manufacturing Systems 24 (9): 2306–2313.
  • Liu, W., K. Hu, H. Zheng, and J. Wang. 2016. “PFMEA Technology of Multi-Varieties and Small Batch Customization Mode.” Computer Integrated Manufacturing Systems 22 (6): 1485–1493.
  • Lupinetti, K., F. Giannini, M. Monti, and J. P. Pernot. 2019. “Content-based Multi-Criteria Similarity Assessment of CAD Assembly Models.” Computers in Industry 112: 103–111.
  • Navaei, J., and H. ElMaraghy. 2016. “Grouping Part/Product Variants Based on Networked Operations Sequence.” Journal of Manufacturing Systems 38: 63–76.
  • Qi, L., Y. Zhang, and T. Liu. 2018. “Question Similarity Calculation Based on Key Information.” Journal of Computer Research and Development 55 (7): 1539–1547.
  • Song, H., S. Yi, M. Liu, G. Qin, and W. Zheng. 2016. “Clustering and Grouping Based on Manufacture Resource.” Journal of Shanghai Jiao Tong University 50 (9): 1460–1466.
  • Sun, T. 2000. “Shape Similarity Assessment of Polyhedral Parts Based on Boundary Models.” International Journal of Production Research 38 (18): 4655–4670.
  • Tan, L., W. Tang, and S. Li. 2017. “The Similarity Calculation of Process Plant Equipment Based on Classification Tree with Attributes.” Journal of Computer-Aided Design & Computer Graphics 29 (10): 1913–1923.
  • Tian, J., and W. Zhao. 2010. “Words Similarity Algorithm Based on Tongyici Cilin in Semantic Web Adaptive Learning System.” Journal of Jilin University (Information Science Edition) 28 (6): 602–608.
  • Vidal, J. M., M. A. S. Monge, and L. J. G. Villalba. 2018. “A Novel Pattern Recognition System for Detecting Android Malware by Analyzing Suspicious Boot Sequences.” Knowledge Based Systems 150: 198–217.
  • Wahab, M. I. M., and S. J. Stoyan. 2008. “A Dynamic Approach to Measure Machine and Routing Flexibilities of Manufacturing Systems.” International Journal of Production Economics 113 (2): 895–913.
  • Wang, G., Y. Jia, and G. Zhou. 2010. “Evaluation Method and Application of CNC Machine Tool’s Green Degree Based on Fuzzy-EAHP.” Journal of Mechanical Engineering 46 (3): 141–147.
  • Wu, L. 2019. Research on Machine Identification Technology of Potential Process Failure Mode. Nanchang: Nanchang Hangkong University.
  • Yuan, Y. 2008. Cognitive-Based Chinese Computational Linguistics. Beijing: Peking University Press.
  • Zheng, H., W. Liu, and C. Xiao. 2018. “Structural Relationship Model for Design Defect and Influencing Factors in the Concurrent Design Process.” International Journal of Production Research 56 (14): 4897–4924.
  • Zhou, D, and X. Dai. 2015a. “Integrating Granular Computing and Bioinformatics Technology for Typical Process Routes Elicitation.” Engineering Applications of Artificial Intelligence 45: 46–56.
  • Zhou, D., and X. Dai. 2015b. “A Method for Discovering Typical Process Sequence Using Granular Computing and Similarity Algorithm Based on Part Features.” The International Journal of Advanced Manufacturing Technology 78 (9–12): 1781–1793.
  • Zhu, F., Z. Dong, and L. Xu. 2015. “Similarity Measurement for Retrieval Based on Hybrid Attribute Distance.” Journal of Tongji University (Natural Science) 43 (7): 1089–1096.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.