메뉴 건너뛰기




Volumn 221, Issue 12, 2007, Pages 1771-1785

Data mining: A tool for detecting cyclical disturbances in supply networks

Author keywords

Data mining; Incremental k means clustering; Rule induction; Spectral analysis; Supply chains; Time series; Uncertainty

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS; SUPPLY CHAINS; TIME SERIES ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 36949003589     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544054JEM879     Document Type: Article
Times cited : (7)

References (55)
  • 2
    • 0037091951 scopus 로고    scopus 로고
    • Global supply chain management: A reinforcement learning approach
    • Pontrandolfo, P., Gosavi, A., Okogbaa, O. G., and Das, T. K. Global supply chain management: a reinforcement learning approach. Int. J. Prod. Res., 2002,40(6), 1299-1317.
    • (2002) Int. J. Prod. Res , vol.40 , Issue.6 , pp. 1299-1317
    • Pontrandolfo, P.1    Gosavi, A.2    Okogbaa, O.G.3    Das, T.K.4
  • 3
    • 25844492155 scopus 로고    scopus 로고
    • Machine learning for dynamic multiproduct supply chain formation
    • Piramuthu, S. Machine learning for dynamic multiproduct supply chain formation. Expert Systems with Applic, 2005, 29, 985-990.
    • (2005) Expert Systems with Applic , vol.29 , pp. 985-990
    • Piramuthu, S.1
  • 4
    • 0001913013 scopus 로고    scopus 로고
    • Shrinking the supply chain uncertainty circle
    • Mason-Jones, R. and Towill, D. R. Shrinking the supply chain uncertainty circle. IOM Control, 1998, 24(7), 17-22.
    • (1998) IOM Control , vol.24 , Issue.7 , pp. 17-22
    • Mason-Jones, R.1    Towill, D.R.2
  • 5
    • 84992957342 scopus 로고    scopus 로고
    • Wilding, R. The supply chain complexity triangle: uncertainty in the supply chain. Int. J. Phys. Distribution Logistics Mgmt, 1998, 28(8), 599-616.
    • Wilding, R. The supply chain complexity triangle: uncertainty in the supply chain. Int. J. Phys. Distribution Logistics Mgmt, 1998, 28(8), 599-616.
  • 6
    • 0034307297 scopus 로고    scopus 로고
    • Risk and uncertainty in managing chemical manufacturing supply chains
    • Applequist, G. E., Pekny, J. F., and Reklaitis, G. V. Risk and uncertainty in managing chemical manufacturing supply chains. Comput. Chem. Engng, 2000, 24, 2211-2222.
    • (2000) Comput. Chem. Engng , vol.24 , pp. 2211-2222
    • Applequist, G.E.1    Pekny, J.F.2    Reklaitis, G.V.3
  • 7
    • 1542510221 scopus 로고    scopus 로고
    • Van der Vorst, J. G. A. J. and Beulens, A. J. M. Identifying sources of uncertainty to generate supply chain redesign strategies. Int. J. Phys. Distribution Logistics Mgmt, 2002, 32(6), 409-430.
    • Van der Vorst, J. G. A. J. and Beulens, A. J. M. Identifying sources of uncertainty to generate supply chain redesign strategies. Int. J. Phys. Distribution Logistics Mgmt, 2002, 32(6), 409-430.
  • 8
    • 0036680992 scopus 로고    scopus 로고
    • Supply chain capacity and outsourcing decisions: The dynamic interplay of demand and uncertainty
    • Kouvelis, P. and Milner, J. M. Supply chain capacity and outsourcing decisions: the dynamic interplay of demand and uncertainty. ZEB Trans., 2002, 34(8), 717-728.
    • (2002) ZEB Trans , vol.34 , Issue.8 , pp. 717-728
    • Kouvelis, P.1    Milner, J.M.2
  • 9
    • 1542580427 scopus 로고    scopus 로고
    • Network-based approach to modelling uncertainty in a supply chain
    • Blackhurst, J., Wu, T., and O'grady, P. Network-based approach to modelling uncertainty in a supply chain. Int. J. Prod. Res., 2004, 42(8), 1639-1658.
    • (2004) Int. J. Prod. Res , vol.42 , Issue.8 , pp. 1639-1658
    • Blackhurst, J.1    Wu, T.2    O'grady, P.3
  • 10
    • 9444294945 scopus 로고    scopus 로고
    • Reducing uncertainty in European supply chains
    • Childerhouse, P. and Towill, D. R. Reducing uncertainty in European supply chains. J. Mfg Technol. Mgmt, 2004, 15(7), 585-598.
    • (2004) J. Mfg Technol. Mgmt , vol.15 , Issue.7 , pp. 585-598
    • Childerhouse, P.1    Towill, D.R.2
  • 11
    • 32144443834 scopus 로고    scopus 로고
    • A simulation study with quantity flexibility in a supply chain subjected to uncertainties
    • Chan, F. T. S. and Chan, H. K. A simulation study with quantity flexibility in a supply chain subjected to uncertainties. Int. J. Integr. Mfg, 2006, 19(2), 148-160.
    • (2006) Int. J. Integr. Mfg , vol.19 , Issue.2 , pp. 148-160
    • Chan, F.T.S.1    Chan, H.K.2
  • 12
    • 0002355705 scopus 로고
    • Effective supply chain management
    • Davis, T. Effective supply chain management Sloan Mgmt Rev., 1993, 34(4), 35-46.
    • (1993) Sloan Mgmt Rev , vol.34 , Issue.4 , pp. 35-46
    • Davis, T.1
  • 13
    • 27844542118 scopus 로고    scopus 로고
    • An empirically derived agenda of critical research issues for managing supply-chain disruptions
    • Blackhurst, J., Craighead, C. W., Elkins, D., and Handfleld, R. B. An empirically derived agenda of critical research issues for managing supply-chain disruptions. Int. J. Prod. Res., 2005, 43(19), 4067-4081.
    • (2005) Int. J. Prod. Res , vol.43 , Issue.19 , pp. 4067-4081
    • Blackhurst, J.1    Craighead, C.W.2    Elkins, D.3    Handfleld, R.B.4
  • 14
    • 0004278738 scopus 로고
    • MIT Press, Cambridge, Massachusetts, USA
    • Forrester, J. W. Industrial dynamics, 1961 (MIT Press, Cambridge, Massachusetts, USA).
    • (1961) Industrial dynamics
    • Forrester, J.W.1
  • 15
    • 0031108822 scopus 로고    scopus 로고
    • Information distortion in a supply chain: The bullwhip effect
    • Lee, H. L., Padmanabhan, V., and Whang, S. Information distortion in a supply chain: the bullwhip effect. Mgmt Sci., 1997, 43(4), 546-558.
    • (1997) Mgmt Sci , vol.43 , Issue.4 , pp. 546-558
    • Lee, H.L.1    Padmanabhan, V.2    Whang, S.3
  • 16
    • 27844435101 scopus 로고    scopus 로고
    • A study on the impact of uncertain factors on information distortion in supply chains
    • Wang, J., Jia, J., and Takahashi, K. A study on the impact of uncertain factors on information distortion in supply chains. Prod. Planning Control, 2005, 16(1), 2-11.
    • (2005) Prod. Planning Control , vol.16 , Issue.1 , pp. 2-11
    • Wang, J.1    Jia, J.2    Takahashi, K.3
  • 17
    • 32544450149 scopus 로고    scopus 로고
    • An exploratory study to identify rogue seasonality in a steel company's supply network using spectral principal component analysis
    • Thornhill, N. and Nairn, M. M. An exploratory study to identify rogue seasonality in a steel company's supply network using spectral principal component analysis. Euro. J. Op. Res., 2006, 172, 146-162.
    • (2006) Euro. J. Op. Res , vol.172 , pp. 146-162
    • Thornhill, N.1    Nairn, M.M.2
  • 19
    • 0033159991 scopus 로고    scopus 로고
    • A comprehensive clustering algorithm for strategic analysis of supply chain networks
    • Srinivasan, M. and Moon, Y. B. A comprehensive clustering algorithm for strategic analysis of supply chain networks. Computers Ind. Engng, 1999, 36, 615-633.
    • (1999) Computers Ind. Engng , vol.36 , pp. 615-633
    • Srinivasan, M.1    Moon, Y.B.2
  • 21
    • 0036863466 scopus 로고    scopus 로고
    • Data mining techniques for customer relationship management
    • Rygielski, C., Wang, J.-C., and Yen, D. C. Data mining techniques for customer relationship management. Technol. Soc, 2002, 24, 483-502.
    • (2002) Technol. Soc , vol.24 , pp. 483-502
    • Rygielski, C.1    Wang, J.-C.2    Yen, D.C.3
  • 22
    • 0141569723 scopus 로고    scopus 로고
    • AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing
    • Monostori, L. AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing. Engng Applic. Artif. Intell, 2003, 16(3), 227-291.
    • (2003) Engng Applic. Artif. Intell , vol.16 , Issue.3 , pp. 227-291
    • Monostori, L.1
  • 23
    • 0043011156 scopus 로고    scopus 로고
    • Intelligent policy recommendations on enterprise resource planning by the use of agent technology and data mining techniques
    • Symeonidis, A. L., Kehagias, D. D., and Mitkas, P. A. Intelligent policy recommendations on enterprise resource planning by the use of agent technology and data mining techniques. Expert Systems with Applic, 2003, 25, 589-602.
    • (2003) Expert Systems with Applic , vol.25 , pp. 589-602
    • Symeonidis, A.L.1    Kehagias, D.D.2    Mitkas, P.A.3
  • 25
    • 12344293675 scopus 로고    scopus 로고
    • An association-based clustering approach to order batching considering customer demand patterns
    • Chen, M.-C. and Wu, H.-P. An association-based clustering approach to order batching considering customer demand patterns. Omega, 2005, 33, 333-343.
    • (2005) Omega , vol.33 , pp. 333-343
    • Chen, M.-C.1    Wu, H.-P.2
  • 26
    • 13644257053 scopus 로고    scopus 로고
    • Aggregation of orders in distribution centers using data mining
    • Chen, M.-C., Huang, C.-L., Chen, K.Y., and Wu, H.-P. Aggregation of orders in distribution centers using data mining. Expert Systems with Applic, 2005, 28, 453-460.
    • (2005) Expert Systems with Applic , vol.28 , pp. 453-460
    • Chen, M.-C.1    Huang, C.-L.2    Chen, K.Y.3    Wu, H.-P.4
  • 27
    • 21644464020 scopus 로고    scopus 로고
    • Pham, D. T. and Afify, A. A. Machine-learning techniques and their applications in manufacturing. Proc. ImechE, Part B: J. Engineering Manufacture, 2005, 219 (B5), 395-412.
    • Pham, D. T. and Afify, A. A. Machine-learning techniques and their applications in manufacturing. Proc. ImechE, Part B: J. Engineering Manufacture, 2005, 219 (B5), 395-412.
  • 29
    • 34247198396 scopus 로고    scopus 로고
    • Shahbaz, M., Srinivas, S., Harding, J. A., and Turner, M. Product design and manufacturing process improvement using association rules. Proc. IMechE, Part B: J. Engineering Manufacture, 2006, 220(B2), 243-254.
    • Shahbaz, M., Srinivas, S., Harding, J. A., and Turner, M. Product design and manufacturing process improvement using association rules. Proc. IMechE, Part B: J. Engineering Manufacture, 2006, 220(B2), 243-254.
  • 30
    • 34249286255 scopus 로고    scopus 로고
    • Data mining in design of products and production systems
    • Kusiak, A. and Smith, M. Data mining in design of products and production systems. A. Rev. Control, 2007, 31(1), 147-156.
    • (2007) A. Rev. Control , vol.31 , Issue.1 , pp. 147-156
    • Kusiak, A.1    Smith, M.2
  • 31
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • Eds U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, AAAI Press, Menlo Park, California
    • Fayyad, U. M., Piatetsky-Shapiro, G., and Smyth, P. From data mining to knowledge discovery: an overview. In Advances in knowledge discovery and data mining (Eds U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy), 1996, pp. 1-36 (AAAI Press, Menlo Park, California).
    • (1996) Advances in knowledge discovery and data mining , pp. 1-36
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 35
    • 27344459757 scopus 로고    scopus 로고
    • On-line discretisation of continuous-valued attributes in rule induction
    • Pham, D. T. and Aflfy, A. A. On-line discretisation of continuous-valued attributes in rule induction. Proc. IMechE, Part C: J. Mechanical Engineering Science, 2005, 219(C8), 829-842.
    • (2005) Proc. IMechE, Part C: J. Mechanical Engineering Science , vol.219 , Issue.C8 , pp. 829-842
    • Pham, D.T.1    Aflfy, A.A.2
  • 36
    • 0003766191 scopus 로고    scopus 로고
    • Morgan Kaufmann Publishers, San Francisco, California, USA
    • Pyle, D. Data preparation for data mining, 1999 (Morgan Kaufmann Publishers, San Francisco, California, USA).
    • (1999) Data preparation for data mining
    • Pyle, D.1
  • 38
    • 84928746885 scopus 로고    scopus 로고
    • Devijver, P. A. and Kittler, J. Pattern recognition: a statistical approach, 1982 (Prentice Hall, Englewood Cliffs, New Jersey and London, UK).
    • Devijver, P. A. and Kittler, J. Pattern recognition: a statistical approach, 1982 (Prentice Hall, Englewood Cliffs, New Jersey and London, UK).
  • 41
    • 85006228721 scopus 로고    scopus 로고
    • Agrawal, R., Faloutsos, C., and Swami, A. Efficient similarity search in sequence databases. In Proceedings of the 4th International Conference on Foundations of data organization and algorithms, Evanston, Illinois, USA, 1993, pp. 69-84.
    • Agrawal, R., Faloutsos, C., and Swami, A. Efficient similarity search in sequence databases. In Proceedings of the 4th International Conference on Foundations of data organization and algorithms, Evanston, Illinois, USA, 1993, pp. 69-84.
  • 45
    • 0034826101 scopus 로고    scopus 로고
    • An experimental comparison of model-based clustering methods
    • Meilǎ, M. and Heckerman, D. An experimental comparison of model-based clustering methods. Machine Learning, 2001, 42, 9-29.
    • (2001) Machine Learning , vol.42 , pp. 9-29
    • Meilǎ, M.1    Heckerman, D.2
  • 48
    • 24044470614 scopus 로고    scopus 로고
    • Clustering of time series data - a survey
    • Liao, T. W. Clustering of time series data - a survey. Pattern Recognition, 2005, 38, 1857-1874.
    • (2005) Pattern Recognition , vol.38 , pp. 1857-1874
    • Liao, T.W.1
  • 49
    • 33644982700 scopus 로고    scopus 로고
    • A unified view on clustering binary data
    • Li, T. A unified view on clustering binary data. Machine Learning, 2006, 62, 199-215.
    • (2006) Machine Learning , vol.62 , pp. 199-215
    • Li, T.1
  • 54
    • 28944445792 scopus 로고    scopus 로고
    • RULES-6: A simple rule induction algorithm for handling large data sets
    • Pham, D. T. and Afify, A. A. RULES-6: a simple rule induction algorithm for handling large data sets. Proc. IMechE, Part C: J. Mechanical Engineering Science, 2005, 219(C10), 1119-1137.
    • (2005) Proc. IMechE, Part C: J. Mechanical Engineering Science , vol.219 , Issue.C10 , pp. 1119-1137
    • Pham, D.T.1    Afify, A.A.2
  • 55
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuous-valued attributes for classification
    • International Joint Conference on Artificial intelligence, Chambery, France
    • Fayyad, U. M. and Irani, K. B. Multi-interval discretization of continuous-valued attributes for classification. In Proceedings of the 13th International Joint Conference on Artificial intelligence, Chambery, France, 1993, pp. 1022-1027.
    • (1993) Proceedings of the 13th , pp. 1022-1027
    • Fayyad, U.M.1    Irani, K.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.