Identifying the best compromises between multiple performance measures in injection molding (IM) using data envelopment analysis (DEA)

Journal of Integrated Design and Process Science

Volumn 7, Issue 1, 2003, Pages 77-86

  Castro, Carlos ^a   Cabrera Ríos, Mauricio ^a   Lilly, Blaine ^a   Castro, José M ^a   Mount Campbell, Clark A ^a  

^a The Ohio State University   (United States)

Author keywords

Artificial neural networks; Computer aided engineering; Data envelopment analysis; Injection molding; Multiple criteria optimization

Indexed keywords

EID: 85013614721     PISSN: 10920617     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Cabrera-Rios, M., Zuyev, K.S., Chen, X., Castro, J.M. and Straus, E.J., 2002a, "Optimizing injection gate location and cycle time for the in-mold coating (IMC) process," Polymer Composites, Vol. 23, No. 5, pp. 723-738.
2. Cabrera-Rios, M., Castro, J.M. and Mount-Campbell, C.A., 2002b, "Multiple quality criteria optimization in reactive in-mold coating (IMC) with a data envelopment analysis approach," Journal of Polymer Engineering, Vol. 22, No. 5, pp. 305-340.
3. Charnes, A., Cooper, W.W.and Rhodes, E., 1978, "Measuring the efficiency of decision making units," European Journal of Operational Research, Vol. 2, No. 6, pp. 429-444.
4. Charnes, A., Cooper, W.W., Lewin, A.Y., and Seiford, L.M., 1993, Data envelopment analysis: theory, methodology, and applications, Kluwer Academic Publishers, Boston.
5. Moldflow™ website, 2002, www.moldflow.com.