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Volumn 48, Issue 23, 2010, Pages 6909-6938

Real time selection of scheduling rules and knowledge extraction via dynamically controlled data mining

Author keywords

adaptive control; data mining; dispatching rules; dynamic scheduling; game theory; inventory management; pricing theory; radio frequency identification; scheduling; simulation

Indexed keywords

ADAPTIVE CONTROL; DISPATCHING RULES; DYNAMIC SCHEDULING; INVENTORY MANAGEMENT; PRICING THEORY; SIMULATION;

EID: 78349250220     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540903307581     Document Type: Article
Times cited : (68)

References (34)
  • 1
    • 42449093777 scopus 로고    scopus 로고
    • Use of machine learning for continuous improvement of the real time heterarchical manufacturing control system performances
    • Aissani, N., Beldjilali, B., and Trentesaux, D., 2008. Use of machine learning for continuous improvement of the real time heterarchical manufacturing control system performances. International Journal of Industrial and Systems Engineering, 3(4), 474-497.
    • (2008) International Journal of Industrial and Systems Engineering , vol.3 , Issue.4 , pp. 474-497
    • Aissani, N.1    Beldjilali, B.2    Trentesaux, D.3
  • 2
    • 0021496929 scopus 로고
    • Sequencing rules and due-date assignments in a job shop
    • Baker, K. R., 1984. Sequencing rules and due-date assignments in a job shop. Management Science, 30(9), 1093-1104.
    • (1984) Management Science , vol.30 , Issue.9 , pp. 1093-1104
    • Baker, K.R.1
  • 3
    • 0027576654 scopus 로고
    • A robust adaptive scheduler for an intelligent workstation controller
    • Cho, H. and Wysk, R. A., 1993. A robust adaptive scheduler for an intelligent workstation controller. International Journal of Production Research, 31(4), 771-789.
    • (1993) International Journal of Production Research , vol.31 , Issue.4 , pp. 771-789
    • Cho, H.1    Wysk, R.A.2
  • 6
    • 36348991068 scopus 로고    scopus 로고
    • Learning effective dispatching rules for batch processor scheduling
    • Geiger, C. D. and Uzsoy, R., 2006. Learning effective dispatching rules for batch processor scheduling. International Journal of Production Research, 46(6), 1431-1454.
    • (2006) International Journal of Production Research , vol.46 , Issue.6 , pp. 1431-1454
    • Geiger, C.D.1    Uzsoy, R.2
  • 7
    • 30344458483 scopus 로고    scopus 로고
    • Rapid modeling and discovery of priority dispatching rules: An autonomous learning approach
    • Geiger, C. D., Uzsoy, R., and Aytug, H., 2006. Rapid modeling and discovery of priority dispatching rules: An autonomous learning approach. Journal of Scheduling, 9(1), 7-34.
    • (2006) Journal of Scheduling , vol.9 , Issue.1 , pp. 7-34
    • Geiger, C.D.1    Uzsoy, R.2    Aytug, H.3
  • 9
    • 33744978995 scopus 로고    scopus 로고
    • Optimization and analysis aid via data-mining for simulated production systems
    • Huyet, A. L., 2006. Optimization and analysis aid via data-mining for simulated production systems. European Journal of Operational Research, 173(3), 827-838.
    • (2006) European Journal of Operational Research , vol.173 , Issue.3 , pp. 827-838
    • Huyet, A.L.1
  • 10
    • 13644277109 scopus 로고    scopus 로고
    • Synergy between evolutionary optimization and induction graphs learning for simulated manufacturing systems
    • Huyet, A. L. and Paris, J. L., 2004. Synergy between evolutionary optimization and induction graphs learning for simulated manufacturing systems. International Journal of Production Research, 42(20), 4295-4313.
    • (2004) International Journal of Production Research , vol.42 , Issue.20 , pp. 4295-4313
    • Huyet, A.L.1    Paris, J.L.2
  • 11
  • 13
    • 0032163477 scopus 로고    scopus 로고
    • A real-time scheduling mechanism for a flexible manufacturing system: Using simulation and dispatching rules
    • Jeong, K.-C. and Kim, Y.-D., 1998. A real-time scheduling mechanism for a flexible manufacturing system: using simulation and dispatching rules. International Journal of Production Research, 36(9), 2609-2626.
    • (1998) International Journal of Production Research , vol.36 , Issue.9 , pp. 2609-2626
    • Jeong, K.-C.1    Kim, Y.-D.2
  • 14
    • 0028594405 scopus 로고
    • Simulation-based real-time scheduling in a flexible manufacturing system
    • Kim, M. H. and Kim, Y.-D., 1994. Simulation-based real-time scheduling in a flexible manufacturing system. Journal of Manufacturing Systems, 13(2), 85-93.
    • (1994) Journal of Manufacturing Systems , vol.13 , Issue.2 , pp. 85-93
    • Kim, M.H.1    Kim, Y.-D.2
  • 15
    • 0040621775 scopus 로고    scopus 로고
    • Experimental investigation of iterative simulation-based scheduling in a dynamic and stochastic job shop
    • Kutanoglu, E. and Sabuncuoglu, I., 2001. Experimental investigation of iterative simulation-based scheduling in a dynamic and stochastic job shop. Journal of Manufacturing Systems, 20(4), 264-279.
    • (2001) Journal of Manufacturing Systems , vol.20 , Issue.4 , pp. 264-279
    • Kutanoglu, E.1    Sabuncuoglu, I.2
  • 17
    • 26644461462 scopus 로고    scopus 로고
    • Discovering dispatching rules using data mining
    • Li, X. and Olafsson, S., 2005. Discovering dispatching rules using data mining. Journal of Scheduling, 8(6), 515-527.
    • (2005) Journal of Scheduling , vol.8 , Issue.6 , pp. 515-527
    • Li, X.1    Olafsson, S.2
  • 18
    • 33846662390 scopus 로고    scopus 로고
    • A simulation based learning mechanism for scheduling systems with continuous control and update structure
    • Metan, G. and Sabuncuoglu, I., 2005. A simulation based learning mechanism for scheduling systems with continuous control and update structure. Proceedings of the 2005 winter simulation conference, 2148-2156.
    • (2005) Proceedings of the 2005 Winter Simulation Conference , pp. 2148-2156
    • Metan, G.1    Sabuncuoglu, I.2
  • 19
    • 0242301653 scopus 로고    scopus 로고
    • Selection of dispatching rules on multiple dispatching decision points in real-time scheduling of a semiconductor wafer fabrication system
    • Min, H.-S. and Yih, Y., 2003. Selection of dispatching rules on multiple dispatching decision points in real-time scheduling of a semiconductor wafer fabrication system. International Journal of Production Research, 41(16), 3921-3941.
    • (2003) International Journal of Production Research , vol.41 , Issue.16 , pp. 3921-3941
    • Min, H.-S.1    Yih, Y.2
  • 20
    • 0005869183 scopus 로고
    • Neural network to select dynamic scheduling heuristics
    • Pierreval, H., 1993. Neural network to select dynamic scheduling heuristics. Journal of Decision Systems, 2(1), 173-190.
    • (1993) Journal of Decision Systems , vol.2 , Issue.1 , pp. 173-190
    • Pierreval, H.1
  • 21
    • 0025441492 scopus 로고
    • A simulation and learning technique for generating knowledge about manufacturing systems behavior
    • Pierreval, H. and Ralambondrainy, H., 1990. A simulation and learning technique for generating knowledge about manufacturing systems behavior. Journal of the Operational Research Society, 41(6), 461-474.
    • (1990) Journal of the Operational Research Society , vol.41 , Issue.6 , pp. 461-474
    • Pierreval, H.1    Ralambondrainy, H.2
  • 22
    • 0031165072 scopus 로고    scopus 로고
    • Dynamic selection of dispatching rules for manufacturing system scheduling
    • Pierreval, H. and Mebarki, N., 1997. Dynamic selection of dispatching rules for manufacturing system scheduling. International Journal of Production Research, 35(6), 1575-1591.
    • (1997) International Journal of Production Research , vol.35 , Issue.6 , pp. 1575-1591
    • Pierreval, H.1    Mebarki, N.2
  • 25
    • 18844442302 scopus 로고    scopus 로고
    • Using data mining for due date assignment in a dynamic job shop environment
    • Sha, D. Y. and Liu, C.-H., 2005. Using data mining for due date assignment in a dynamic job shop environment. International Journal of Advanced Manufacturing Technology, 25 (11-12), 1164-1174.
    • (2005) International Journal of Advanced Manufacturing Technology , vol.25 , Issue.11-12 , pp. 1164-1174
    • Sha, D.Y.1    Liu, C.-H.2
  • 26
    • 32544433960 scopus 로고    scopus 로고
    • Learning-based multi-pass adaptive scheduling for a dynamic manufacturing cell environment
    • Shiue, Y.-R. and Guh, R.-S., 2005. Learning-based multi-pass adaptive scheduling for a dynamic manufacturing cell environment. Robotics and Computer-Integrated Manufacturing, 22(3), 203-216.
    • (2005) Robotics and Computer-Integrated Manufacturing , vol.22 , Issue.3 , pp. 203-216
    • Shiue, Y.-R.1    Guh, R.-S.2
  • 27
    • 33645574902 scopus 로고    scopus 로고
    • The optimization of attribute selection in decision treebased production control systems
    • Shiue, Y.-R. and Guh, R.-S., 2006. The optimization of attribute selection in decision treebased production control systems. International Journal of Advanced Manufacturing Technology, 28, 737-746.
    • (2006) International Journal of Advanced Manufacturing Technology , vol.28 , pp. 737-746
    • Shiue, Y.-R.1    Guh, R.-S.2
  • 28
    • 2942601462 scopus 로고    scopus 로고
    • Iterative learning scheduling: A combination of optimization and dispatching rules
    • Sun, R.-L., et al., 2004. Iterative learning scheduling: a combination of optimization and dispatching rules. Journal of Manufacturing Technology Management, 15(3), 298-305.
    • (2004) Journal of Manufacturing Technology Management , vol.15 , Issue.3 , pp. 298-305
    • Sun, R.-L.1
  • 29
    • 38249014416 scopus 로고
    • A knowledge-based simulation architecture to analyze interruptions in a flexible manufacturing system
    • Tayanithi, P., Minivannan, S., and Banks, J., 1993a. A knowledge-based simulation architecture to analyze interruptions in a flexible manufacturing system. Journal of Manufacturing Systems, 11(3), 195-214.
    • (1993) Journal of Manufacturing Systems , vol.11 , Issue.3 , pp. 195-214
    • Tayanithi, P.1    Minivannan, S.2    Banks, J.3
  • 30
    • 0027150722 scopus 로고
    • Complexity reduction during interruption analysis in a flexible manufacturing system using knowledge-based on-line simulation
    • Tayanithi, P., Minivannan, S., and Banks, J., 1993b. Complexity reduction during interruption analysis in a flexible manufacturing system using knowledge-based on-line simulation. Journal of Manufacturing Systems, 12(2), 153-169.
    • (1993) Journal of Manufacturing Systems , vol.12 , Issue.2 , pp. 153-169
    • Tayanithi, P.1    Minivannan, S.2    Banks, J.3
  • 31
    • 0023868237 scopus 로고
    • Multi-pass expert control system - A control/scheduling structure for flexible manufacturing cells
    • Wu, S. D. and Wysk, R. A., 1988. Multi-pass expert control system - a control/scheduling structure for flexible manufacturing cells. Journal of Manufacturing Systems, 7(2), 107-120.
    • (1988) Journal of Manufacturing Systems , vol.7 , Issue.2 , pp. 107-120
    • Wu, S.D.1    Wysk, R.A.2
  • 32
    • 0024731596 scopus 로고
    • An application of discrete-event simulation to on-line control and scheduling in flexible manufacturing
    • Wu, S. D. and Wysk, R. A., 1989. An application of discrete-event simulation to on-line control and scheduling in flexible manufacturing. International Journal of Production Research, 27(9), 1603-1623.
    • (1989) International Journal of Production Research , vol.27 , Issue.9 , pp. 1603-1623
    • Wu, S.D.1    Wysk, R.A.2
  • 33
    • 37549018049 scopus 로고    scopus 로고
    • Top 10 algorithms in data mining
    • Wu, X., et al., 2008. Top 10 algorithms in data mining. Knowledge and Information Systems, 14(1), 1-37.
    • (2008) Knowledge and Information Systems , vol.14 , Issue.1 , pp. 1-37
    • Wu, X.1
  • 34
    • 33744831752 scopus 로고    scopus 로고
    • Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks
    • Yildirim, M. B., et al., 2006. Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks. Computers & Industrial Engineering, 50 (1-2), 185-194.
    • (2006) Computers & Industrial Engineering , vol.50 , Issue.1-2 , pp. 185-194
    • Yildirim, M.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.