Manufacturing-Operation Planning Versus AI Planning

dc.contributor.authorNau, Dana S.en_US
dc.contributor.authorGupta, Satyandra K.en_US
dc.contributor.authorRegli, William C.en_US
dc.date.accessioned2004-05-31T22:29:41Z
dc.date.available2004-05-31T22:29:41Z
dc.date.created1995-01en_US
dc.date.issued1998-10-15en_US
dc.description.abstractAlthough AI planning techniques can potentially be useful in several manufacturing domains, this potential remains largely unrealized. Many of the issues important to manufacturing engineers have now seemed interesting to AI researchers -- but, in order to adapt AI planning techniques to manufacturing, it is important to address these issues in a realistic and robust manner. Furthermore, by investigating these issues, AI researchers may be able to discover principles that are relevant for AI planning in general. As an example, in this paper we describe the techniques for manufacturing- operation planning used in IMACS (Interactive Manufacturability Analysis and Critiquing System). We compare and contrast them with the techniques used in classical AI planning systems, and point out that some of the techniques used in IMACS may also be useful in other kinds of planning problems. (Also cross-referenced as UMIACS-TR-95-3)en_US
dc.format.extent511972 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/688
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3397en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-95-3en_US
dc.titleManufacturing-Operation Planning Versus AI Planningen_US
dc.typeTechnical Reporten_US

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