On-line predictive model for disassembly process planning adaptation

Robotics and Computer-Integrated Manufacturing

Volumn 15, Issue 3, 1999, Pages 211-220

  Salomonski, Nizan ^a   Zussman, Eyal ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; COST EFFECTIVENESS; DECISION SUPPORT SYSTEMS; DECISION THEORY; INFERENCE ENGINES; MATHEMATICAL MODELS; ONLINE SYSTEMS; PROCESS ENGINEERING; PRODUCTION ENGINEERING; REGRESSION ANALYSIS;

DISASSEMBLY PROCESS PLANNING ADAPTATION METHOD; ON-LINE PREDICTIVE MODELS;

COMPUTER INTEGRATED MANUFACTURING;

EID: 0032681645     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0736-5845(99)00019-8     Document Type: Article

References (10)

1. Zussman, E., Zhou, M., A methodology for modeling and adaptive planning of disassembly processes. IEEE Trans Robotics Automa 1999;15(1):190-4.
2. Geiger D, Zussman E. Probabilistic reactive disassembly planning. Ann CIRP 1996;45(1):49-52.
3. Zülch, G., Schiller, E.F., Schneck, M., Adaptive dynamic process plans - a basic for a disassembly information system, Proceedings of the CIRP International Seminar on Recycling, 1995: 245-53.
4. Zussman E, Kriwet G, Seliger G. Disassembly-oriented assessment methodology to support design for recycling. Ann CIRP 1994;43(1):9-14.
5. Zussman, E., Meltser, M., Planning and re-planning strategy of disassembly processes. CIRP - fourth International Seminar on Life Cycle Engineering, Life Cycle Networks, Production Technology Center Berlin, Germany, 1997: 283-92.
6. Wolberg, J.R., Data modelling with fast kernel regression, Proceedings of the 27th Israel Conference on Mechanical Engineering, 1998.
7. Wolfgang H. Smoothing techniques: with implementation in S. Springer Series in Statistics. New York: Springer 1990.
8. Wolfgang H. Applied nonparametric regression. Econometric Society Monographs. Cambridge: Cambridge University Press, 1990.
9. Stone M. Cross validatory choice and assessment of statistical predictors. J. Roy Statis Soc Ser B 1974;36:111-47.
10. Mendenhall W, Sincich T. Statistics for engineering and science, Third ed.. New York: Macmillan Publishing Company, 1992.