메뉴 건너뛰기




Volumn 130, Issue 2, 2011, Pages 268-276

Selecting the best clustering variables for grouping mass-customized products involving workers learning

Author keywords

Clustering; Learning curves; Learning rate; Mass customization

Indexed keywords

CLUSTERING; CLUSTERING RESULTS; CUSTOMIZED PRODUCTS; ELIMINATION PROCEDURE; EXPERT ASSESSMENT; K-MEANS CLUSTERING TECHNIQUES; LEARNING CURVES; LEARNING RATES; MANUAL ASSEMBLY; MANUFACTURING PROCESS; MASS CUSTOMIZATION; PROCESSING NEEDS; PRODUCT FEATURE; PRODUCT MODELS; PRODUCT PLATFORMS; PRODUCTION ENVIRONMENTS; RESOURCES ALLOCATION;

EID: 79951726711     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2011.01.009     Document Type: Article
Times cited : (52)

References (46)
  • 1
    • 58949092477 scopus 로고    scopus 로고
    • A simulated annealing method based on a clustering approach to determine bills of materials for a large product family
    • B. Agard, and B. Penz A simulated annealing method based on a clustering approach to determine bills of materials for a large product family International Journal of Production Economics 117 2 2009 389 401
    • (2009) International Journal of Production Economics , vol.117 , Issue.2 , pp. 389-401
    • Agard, B.1    Penz, B.2
  • 4
    • 34249043857 scopus 로고    scopus 로고
    • Learning curve modelling of work assignment in mass customized assembly lines
    • DOI 10.1080/00207540600725010, PII 778783099
    • M.J. Anzanello, and F.S. Fogliatto Learning curve modeling of work assignment in mass customized assembly lines International Journal of Production Research 45 13 2007 2919 2938 (Pubitemid 46782033)
    • (2007) International Journal of Production Research , vol.45 , Issue.13 , pp. 2919-2938
    • Anzanello, M.J.1    Fogliatto, F.S.2
  • 7
    • 0035534927 scopus 로고    scopus 로고
    • A variable-selection heuristic for k-means clustering
    • M. Brusco, and J. Cradit A variable-selection heuristic for k-means clustering Psychometrika 66 2 2001 249 270
    • (2001) Psychometrika , vol.66 , Issue.2 , pp. 249-270
    • Brusco, M.1    Cradit, J.2
  • 8
    • 0035973359 scopus 로고    scopus 로고
    • Mass customization: Literature review and research directions
    • DOI 10.1016/S0925-5273(00)00079-7, PII S0925527300000797
    • G. Da Silveira, D. Borestein, and F.S. Fogliatto Mass customization: literature review and research directions International Journal of Production Economics 72 1 2001 1 13 (Pubitemid 32544406)
    • (2001) International Journal of Production Economics , vol.72 , Issue.1 , pp. 1-13
    • Da Silveira, G.1    Borenstein, D.2    Fogliatto, F.S.3
  • 9
    • 37349051693 scopus 로고    scopus 로고
    • Mass customization: A method for market segmentation and choice menu design
    • DOI 10.1016/j.ijpe.2007.02.034, PII S092552730700103X
    • F.S. Fogliatto, and G.J. Da Silveira Mass customization: a method for market segmentation and choice menu design International Journal of Production Economics 111 2 2008 606 622 (Pubitemid 350299156)
    • (2008) International Journal of Production Economics , vol.111 , Issue.2 , pp. 606-622
    • Fogliatto, F.S.1    Da Silveira, G.J.C.2
  • 11
    • 21844501258 scopus 로고
    • Weighting and selection of variables for cluster analysis
    • R. Gnanadesikan, J. Kettenring, and S. Tsao Weighting and selection of variables for cluster analysis Journal of Classification 12 1 1995 113 136
    • (1995) Journal of Classification , vol.12 , Issue.1 , pp. 113-136
    • Gnanadesikan, R.1    Kettenring, J.2    Tsao, S.3
  • 13
    • 79951725989 scopus 로고    scopus 로고
    • PCA-guided k-means with variable weighting and its application to document clustering
    • Honda, K., Notsu, A.; Ichihashi, H.,2009. PCA-guided k-means with variable weighting and its application to document clustering. Lectures Notes in Computer Science, 5861, 282292.
    • (2009) Lectures Notes in Computer Science , vol.5861 , pp. 282-292
    • Honda, K.1    Notsu, A.2    Ichihashi, H.3
  • 14
    • 38949106054 scopus 로고    scopus 로고
    • Learning and forgetting models and their applications
    • M. Jaber Learning and forgetting models and their applications A.B. Badiru, Handbook of Industrial & Systems Engineering 2006 CRC Press-Taylor & Francis Group Boca Raton
    • (2006) Handbook of Industrial & Systems Engineering
    • Jaber, M.1
  • 15
    • 74449092564 scopus 로고    scopus 로고
    • Observations on the economic order (manufacture) quantity model with learning and forgetting
    • M. Jaber, and A. Guiffrida Observations on the economic order (manufacture) quantity model with learning and forgetting International Transactions in Operational Research 14 2 2007 91 104
    • (2007) International Transactions in Operational Research , vol.14 , Issue.2 , pp. 91-104
    • Jaber, M.1    Guiffrida, A.2
  • 16
    • 74449085921 scopus 로고    scopus 로고
    • Managing yield by lot splitting in a serial production line with learning, rework and scrap
    • M. Jaber, and M. Khan Managing yield by lot splitting in a serial production line with learning, rework and scrap International Journal of Production Economics 124 1 2010 32 39
    • (2010) International Journal of Production Economics , vol.124 , Issue.1 , pp. 32-39
    • Jaber, M.1    Khan, M.2
  • 18
    • 9544251417 scopus 로고    scopus 로고
    • A numerical comparison of three potential learning and forgetting models
    • M. Jaber, and S. Sikstrom A numerical comparison of three potential learning and forgetting models International Journal of Production Economics 92 3 2004 281 294
    • (2004) International Journal of Production Economics , vol.92 , Issue.3 , pp. 281-294
    • Jaber, M.1    Sikstrom, S.2
  • 23
    • 0016102304 scopus 로고
    • Costing, technological growth and generalized learning curves
    • G. Knecht Costing, technological growth and generalized learning curves Operational Research Quarterly 25 3 1974 487 491
    • (1974) Operational Research Quarterly , vol.25 , Issue.3 , pp. 487-491
    • Knecht, G.1
  • 24
    • 0032000728 scopus 로고    scopus 로고
    • A learning curve model with knowledge depreciation
    • PII S0377221797000337
    • G. Li, and S. Rajagopalan A learning curve model with knowledge depreciation European Journal of Operational Research 105 1 1998 143 154 (Pubitemid 128387768)
    • (1998) European Journal of Operational Research , vol.105 , Issue.1 , pp. 143-154
    • Li, G.1    Rajagopalan, S.2
  • 25
    • 35648962850 scopus 로고    scopus 로고
    • Localized feature selection for clustering
    • DOI 10.1016/j.patrec.2007.08.012, PII S0167865507002632
    • Y. Li, M. Dong, and J. Hua Localized feature selection for clustering Pattern Recognition Letters 29 1 2008 10 18 (Pubitemid 350026658)
    • (2008) Pattern Recognition Letters , vol.29 , Issue.1 , pp. 10-18
    • Li, Y.1    Dong, M.2    Hua, J.3
  • 27
    • 65749115769 scopus 로고    scopus 로고
    • Variable selection for clustering with gaussian mixture models
    • C. Maugis, G. Celeux, and M. Martin-Magniette Variable selection for clustering with gaussian mixture models Biometrics 65 3 2009 701 709
    • (2009) Biometrics , vol.65 , Issue.3 , pp. 701-709
    • Maugis, C.1    Celeux, G.2    Martin-Magniette, M.3
  • 28
    • 65749097073 scopus 로고    scopus 로고
    • Variable selection in model-based clustering: A general variable role modeling
    • C. Maugis, G. Celeux, and M. Martin-Magniette Variable selection in model-based clustering: a general variable role modeling Computational Statistics & Data Analysis 53 11 2009 3872 3882
    • (2009) Computational Statistics & Data Analysis , vol.53 , Issue.11 , pp. 3872-3882
    • Maugis, C.1    Celeux, G.2    Martin-Magniette, M.3
  • 29
    • 0018037554 scopus 로고
    • Learning as accumulation: A reexamination of the learning curve
    • J.E. Mazur, and R. Hastie Learning as accumulation: a reexamination of the learning curve Psychological Bulletin 85 6 1978 1256 1274
    • (1978) Psychological Bulletin , vol.85 , Issue.6 , pp. 1256-1274
    • Mazur, J.E.1    Hastie, R.2
  • 30
    • 33847457966 scopus 로고
    • An examination of six types of the effect of six types of error perturbation on fifteen clustering algorithms
    • G. Milligan An examination of six types of the effect of six types of error perturbation on fifteen clustering algorithms Psychometrika 45 3 1980 325 342
    • (1980) Psychometrika , vol.45 , Issue.3 , pp. 325-342
    • Milligan, G.1
  • 31
    • 0002048998 scopus 로고
    • A validation study of a variable-weighting algorithm for cluster analysis
    • G. Milligan A validation study of a variable-weighting algorithm for cluster analysis Journal of Classification 6 1 1989 53 71
    • (1989) Journal of Classification , vol.6 , Issue.1 , pp. 53-71
    • Milligan, G.1
  • 32
    • 0034244772 scopus 로고    scopus 로고
    • An individual-based description of learning within an organization
    • D. Nembhard, and M. Uzumeri An individual-based description of learning within an organization IEEE Transactions on Engineering Management 47 3 2000 370 378
    • (2000) IEEE Transactions on Engineering Management , vol.47 , Issue.3 , pp. 370-378
    • Nembhard, D.1    Uzumeri, M.2
  • 33
    • 0023453329 scopus 로고
    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
    • DOI 10.1016/0377-0427(87)90125-7
    • P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis Journal of Computational and Applied Mathematics 20 1 1987 53 65 (Pubitemid 18528483)
    • (1987) Journal of Computational and Applied Mathematics , vol.20 , pp. 53-65
    • Rousseeuw Peter, J.1
  • 36
    • 41149180750 scopus 로고    scopus 로고
    • A new variable weighting and selection procedure for K-means cluster analysis
    • D. Steinley, and M. Brusco A new variable weighting and selection procedure for K-means cluster analysis Multivariate Behavioral Research 43 1 2008 77 108
    • (2008) Multivariate Behavioral Research , vol.43 , Issue.1 , pp. 77-108
    • Steinley, D.1    Brusco, M.2
  • 37
    • 61349124574 scopus 로고    scopus 로고
    • Data clustering of solutions for multiple objective system reliability optimization problems
    • H. Taboada, and D. Coit Data clustering of solutions for multiple objective system reliability optimization problems Quality Technology & Quantitative Management Journal 4 2 2007 191 210
    • (2007) Quality Technology & Quantitative Management Journal , vol.4 , Issue.2 , pp. 191-210
    • Taboada, H.1    Coit, D.2
  • 38
    • 40749163214 scopus 로고    scopus 로고
    • Multi-objective scheduling problems: Determination of pruned Pareto sets
    • DOI 10.1080/07408170701781951, PII 791377937
    • H. Taboada, and D. Coit Multi-objective scheduling problems: determination of pruned Pareto sets IIE Transactions 40 5 2008 552 564 (Pubitemid 351386541)
    • (2008) IIE Transactions (Institute of Industrial Engineers) , vol.40 , Issue.5 , pp. 552-564
    • Taboada, H.A.1    Coit, D.W.2
  • 40
    • 76149120820 scopus 로고    scopus 로고
    • Variable selection in model-based clustering using multilocus genotype data
    • W. Toussile, and E. Gassiat Variable selection in model-based clustering using multilocus genotype data Advances in Data Analysis and Classification 3 2 2009 109 134
    • (2009) Advances in Data Analysis and Classification , vol.3 , Issue.2 , pp. 109-134
    • Toussile, W.1    Gassiat, E.2
  • 41
    • 58049211919 scopus 로고    scopus 로고
    • An association clustering algorithm for can-order policies in the joint replenishment problem
    • C. Tsai, C. Tsai, and P. Huang An association clustering algorithm for can-order policies in the joint replenishment problem International Journal of Production Economics 117 1 2009 30 41
    • (2009) International Journal of Production Economics , vol.117 , Issue.1 , pp. 30-41
    • Tsai, C.1    Tsai, C.2    Huang, P.3
  • 42
    • 34347379313 scopus 로고    scopus 로고
    • Using data mining techniques to predict industrial wine problem fermentations
    • DOI 10.1016/j.foodcont.2006.09.010, PII S095671350600274X
    • A. Urtubia, J. Perrez-Correa, A. Soto, and P. Pszczolkowski Using data mining techniques to predict industrial wine problem fermentation Food Control 18 1 2007 1512 1517 (Pubitemid 47022904)
    • (2007) Food Control , vol.18 , Issue.12 , pp. 1512-1517
    • Urtubia, A.1    Perez-Correa, J.R.2    Soto, A.3    Pszczolkowski, P.4
  • 43
    • 0032180274 scopus 로고    scopus 로고
    • A population of learners: A new way to measure organizational learning
    • PII S027269639700017X
    • M. Uzumeri, and D. Nembhard A population of learners: a new way to measure organizational learning Journal of Operations Management 16 5 1998 515 528 (Pubitemid 128428431)
    • (1998) Journal of Operations Management , vol.16 , Issue.5 , pp. 515-528
    • Uzumeri, M.1    Nembhard, D.2
  • 44
    • 0037062544 scopus 로고    scopus 로고
    • Performance improvement theory
    • DOI 10.1016/S0925-5273(00)00087-6, PII S0925527300000876
    • J. Vits, and L. Gelders Performance improvement theory International Journal of Production Economics 77 3 2002 285 298 (Pubitemid 34524871)
    • (2002) International Journal of Production Economics , vol.77 , Issue.3 , pp. 285-298
    • Vits, J.1    Gelders, L.2
  • 45
    • 0001250106 scopus 로고
    • Factors affecting the cost of airplanes
    • T. Wright Factors affecting the cost of airplanes Journal of Aeronautical Science 3 2 1936 122 128
    • (1936) Journal of Aeronautical Science , vol.3 , Issue.2 , pp. 122-128
    • Wright, T.1
  • 46
    • 84989431553 scopus 로고
    • The learning curve: Historical review and comprehensive survey
    • L.E. Yelle The learning curve: historical review and comprehensive survey Decision Science 10 2 1979 302 328
    • (1979) Decision Science , vol.10 , Issue.2 , pp. 302-328
    • Yelle, L.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.