Data-based scheduling framework

• Autorzy: Li L. , Jiacheng N. , Fei Q.

Warianty tytułu

PL

Szkielet terminarza działań oparty o bazę danych

• Języki publikacji: EN

Abstrakty

EN

Based on the analysis of the differences and relations between traditional and data-based scheduling methods for complex manufacturing systems, we propose a data-based scheduling framework. Then we discuss how to implement it for a semiconductor manufacturing system. Finally, we introduce the state-of-the-art research on the key technologies of data-based scheduling and point out their development trends.

PL

Zaproponowano szkielet opracowania terminarza działań w oparciu o bazę danych. Metodę sprawdzono na przykładzie przemysłu półprzewodnikowego.

Słowa kluczowe

EN

database; scheduling; manufacturing system; data mining

PL

baza danych; przemysł półprzewodnikowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 9b
• Strony: 66--69
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Li L.

• School of Electronics and Information Engineering, Tongji University

autor

Jiacheng N.

• School of Electronics and Information Engineering, Tongji University

autor

Fei Q.

• School of Electronics and Information Engineering, Tongji University

Bibliografia

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• [2] Chen Y M, Miao D Q, Wang R Z. A Rough Set Approach to Feature Selection Based on Ant Colony Optimization, Pattern Recognition Letters, 31(2010), No.3, 226-233
• [3] Shiue Y R. Development of Two-Level Decision Tree-Based Real-Time Scheduling System under Product Mix Variety Environment, Robotics and Computer-Integrated Manufacturing, 25(2009), No.4-5,709-720
• [4] Hu C H, Su S F. Hierarchical Clustering Methods for Semiconductor Manufacturing Data, Proceedings of the 2004 IEEE International Conference on Networking, Sensing Control, 2004, Taiwan, 1063-1068
• [5] Chen T. Predicting Wafer-Lot Output Time with a Hybrid FCM–FBPN Approach, IEEE Transactions on Dystem, Man and cybernetics-Part B: Cybernetics, 37(2007), No.4, 784-793
• [6] Mueller R, McGinnis L F. Automatic Generation of Simulation Models for Semiconductor Manufacturing, Proceedings of the 2007 Winter Simulation Conference, Washington, DC, United States, 2007, 648-657
• [7] Ye K, Qiao F, Ma Y M. General Structure of the Semiconductor Production Scheduling Model, Applied Mechanics and Materials, 20-23(2010), 465-469
• [8] Bagchi S, Baseman R J, Davenport A, Natarajan R, Slonim N, Weiss S. Data Analytics and Stochastic Modeling in a Semiconductor Fab, Applied Stochastic Models in Business and Industry, 26(2010), No.1, 1-27
• [9] Chen T, Wang Y C. A Nonlinear Scheduling Rule Incorporating Fuzzy-Neural Remaining Cycle Time Estimator for Scheduling a Semiconductor Manufacturing Factory—a Simulation Study, International Journal of Advanced Manufacturing Technology, 45(2009), No.1-2, 110-121
• [10] Arredondo F, Martinez E. Learning and Adaptation of a Policy for Dynamic Order Acceptance in Make-To-Order Manufacturing, Computers and Industrial Engineering, 58(2010), No.1, 70-83
• [11] Shukla K S, Tiwari M K, Son Y J. Bidding-Based Multi-Agent System for Integrated Process Planning and Scheduling a Data-Mining and Hybrid Tabu-SA Algorithm-Oriented Approach, International Journal of Advanced Manufacturing Technology, 38(2008), No.1-2, 163-175
• [12] Lee K K. Fuzzy Rule Generation for Adaptive Scheduling in a Dynamic Manufacturing, Applied Soft Computing, 8(2008), No.4, 1295-1304
• [13] Yang H B, Yan H S. An Adaptive Approach to Dynamic Scheduling in Knowledgeable Manufacturing Cell, International Journal of Advanced Manufacturing Technology, 42(2009), No.3-4, 312-320
• [14] Chaudhuri A, De K. Job Scheduling Problem Using Rough Fuzzy Multilayer Perception Neural Networks, Journal of Artificial Intelligence: Theory and Application, 1(2010), No.1, 4-19
• [15] Kumar S, Rao C S P. Application of Ant Colony, Genetic Algorithm and Data Mining-Based Techniques for Scheduling, Robotics and Computer-Integrated Manufacturing, 25(2009), No.6, 901–908
• [16] Olafsson S, Li X N. Learning Effective New Single Machine Dispatching Rules from Optimal Scheduling Data, International Journal of Production Economics, 128(2010), No.1, 118-126
• [17] Choi H S, Kim J S, Lee D H. Real-time scheduling for reentrant hybrid flow shops: A decision tree based mechanism and its application to a TFT-LCD line, Expert Systems with Applications, 38(2011), No.4, 3514–3521