Nau, D. S., Gupta, S. K., & Regli, W. C. (1995). AI planning versus manufacturingoperation planning: A case study. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence Montreal, Canada.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....that formalizes useful distinctions for reasoning about states and actions, a knowledge engineer can find the semantics of informal expressions of plans (e.g. textual or domain specific) through designing mappings to the ontology. Reports on efforts to model plans in various application domains (Nau et al. 1995; Knoblock 1996) indicate the difficulties of representing realworld domains, and point out the need for better methodologies for knowledge modelling for planning and for richer representations of planning knowledge. We believe that PLANET takes a step in that direction. Second, a plan ontology ....

Nau, D. S., Gupta, S. K., and Regli, W. C. 1995. AI Planning Versus Manufacturing-Operation Planning: A Case Study. In IJCAI-95.

....find a program that control its operation. In addition, the control program obtained must have a sufficient level of detail such that it incorporates every necessary action to carry out a correct execution. Present approaches for the synthesis of operating procedures [1, 14] or machining process [16] do not obtain complete and realistic solutions in this sense because plans obtained are operation procedures intended to be executed by human operators, thus they lack of the necessary level of detail to be considered control programs and executed by a computer, or they are only focused in a ....

D. Nau, S. K. Gupta, and W. C. Regli, `AI planning versus manufacturing-operation planning: A case study', in IJCAI-95, pp. 1670--1676, (1995).

....GRACFET charts or Petri nets. 1 Introduction The design of sequential control programs for manufacturing systems is a difficult task which is traditionally carried out by engineers. Artificial intelligence planning techniques have proved to be very useful in the building process of such programs [5, 7, 9, 10, 14] obtaining error free programs and saving engineering time, which makes it an area of increasing interest in the AI community. However, there are some features of manufacturing systems that are not considered or are not considered in enough detail. This work focuses on these features, perhaps the ....

D. Nau et al. AI planning versus manufacturing-operation planning: A case study. In IJCAI-95, pages 1670--1676, 1995.

....the early stages of fixturing analysis in performing feature recognition we will also discuss some fixture work. In particular we will focus on process planners that incorporate fixture analysis [Chang and Anderson, 1992, Cutkosky and Tenenbaum, 1992, Trappey and Matrubhutam, 93, Das et al. 1994, Nau et al. 1995]. The difference between these works and MEDIATOR is that they bring in fixturing analysis only in the process planning stage but not as early as feature recognition. 4 MEDIATOR: A Reconfigurable Feature Recognizer This section describes the MEDIATOR (Maintainable, Extensible Design and ....

Nau, D. S., Gupta, S. K., and Regli, W. C. (1995). AI planning versus manufacturing-operations planning: A case study. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, volume 2, pages 1670--1676, Montreal.

....level components. Operator construction through refinement is a complimentary approach to HTN planning. After an operator description has been constructed, an HTN planner can decompose it into its component subtasks. IMACS is a planner which operates in the machining domain [Gupta et al. 1994, Nau et al. 1995]. The system contains a library of operators which describe the types of volumes they can produce. The effects of the operators are compared to the goal, the part to be machined, to identify which operators are applicable to the problem. While the effect descriptions are fairly general, IMACS is ....

Nau, D. S., Gupta, S. K., and Regli, W. C. (1995). AI planning versus manufacturing-operation planning: a case study. In Proceedings of the Forteenth Internation Joint Conference on Artificial Intelligence, Montreal.

....db3) remote join eval (get(R; db) 1 get(S; db) capability(db; join) get(R 1 S; db) Figure 1: Transformations in Query Planning In manufacturing, the problem is to find an economical plan of machining operations that implement the desired features of a design. In a feature based approach (Nau, Gupta, Regli 1995) it is possible to enumerate the possible actions involved in building a piece by analyzing its CAD model. It is more difficult to find an ordering of the operations and the setups that optimize the machining cost. However, similar to query planning, it is possible to incrementally transform a ....

Nau, D. S.; Gupta, S. K.; and Regli, W. C. 1995. AI planning versus manufacturing-operation planning: A case study. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence.

.... Table 5: Comparing the performance of planning with OE consistent permutations and of planning with non OE consistent permutations of the goals 9 Related Work Process planning has been the subject of several studies in AI (Hayes, 1987; Kambhampati et al. 1991; Gil, 1991; Karinthi et al. 1992; Nau et al. 1995; Bergmann and Wilke, 1995) involving different AI techniques and different problem solving criteria. Hayes, 1987) already observed that the domain of process planning is characterized by the high number of interactions and uses a domain dependent mechanism to detect interactions before they ....

....here when OE is taken into consideration. Another interesting observation is that even with universal quantification, machining plans are nonmergeable because the resulting plans do not minimize the use of clamping and holding steps (see section 7) Thus, they are not in the required class. In (Nau et al. 1995) a study of this domain is presented from the perspective of mechanical engineering as opposed to AI planning. This work explains the difficulty of using general purpose planners to represent the problematic of the domain, for example, the overlapping between features which could be very difficult ....

Nau, D., Gupta, S., and Regli, W. (1995). AI planning versus manufacturing-operation planning: A case study. In Proceedings of IJCAI-95.

....separable threats does not affect correctness or completeness of Example Domain. A domain frequently referred to in the planning literature is the domain of process planning (see [Hayes, 1987] Kambhampati et al. 1991] Gil, 1991] Karinthi et al. 1992] Britanik and Marefat, 1995] [Nau et al. 1995], Mu noz Avila and Weberskirch, 1996a] particularly the manufacturing process of mechanical workpieces. To manufacture a workpiece, several so called machining operations are performed to transform a given piece of raw material into design specifications. Typically, a piece of raw material is ....

Nau, D., Gupta, S., and Regli, W. (1995). AI planning versus manufacturing-operation planning: A case study. In Proceedings of IJCAI-95.

....a difficult task which is traditionally carried out by engineers, but artificial intelligence planning techniques are proving to be very useful [8, 13] allowing for an error free, fast and low cost building process of such control programs. Furthermore, a new area of study called process planning [6, 10, 12] has emerged from the application of planning techniques to the special case of tooling procedures. The advantages of such systems are clear. First of all, whenever the knowledge used by these systems is guaranteed to be correct, the use of planning techniques will also guarantee that the final ....

D. Nau et al. AI planning versus manufacturing-operation planning: A case study. In IJCAI-95, pages 1670--1676, 1995.

....As a result, those completion alternatives of the partial solution are discarded that are already known to be invalid from the case. Introduction Planning in the domain of process planning has been the subject of wide studies in AI (Hayes 1987; Kambhampati et al. 1991; Gil 1991; Yang Lu 1994; Nau, Gupta, Regli 1995; Bergmann Wilke 1995) Different approaches have been developed for solving problems in this domain ranging from using pure generative planning techniques (Gil 1991) to domain specific planning (Nau, Gupta, Regli 1995; Yang Lu 1994) An interesting proposal combining both approaches has ....

.... in AI (Hayes 1987; Kambhampati et al. 1991; Gil 1991; Yang Lu 1994; Nau, Gupta, Regli 1995; Bergmann Wilke 1995) Different approaches have been developed for solving problems in this domain ranging from using pure generative planning techniques (Gil 1991) to domain specific planning (Nau, Gupta, Regli 1995; Yang Lu 1994) An interesting proposal combining both approaches has been described in (Kambhampati et al. 1991) where a generative planning system is integrated with specialized reasoners to solve complex tasks. We follow this approach with our case based planning system CAPlan CbC. A ....

Nau, D.; Gupta, S.; and Regli, W. 1995. AI planning versus manufacturing-operation planning: A case study.

No context found.

D. S. Nau, W. C. Regli, and S. K. Gupta, "AI planning versus manufacturing -operations planning: A case study," in Proc. 14th Int. Joint Conf. Artificial Intelligence, vol. 2, Montreal, PQ, Canada, Aug. 1995, pp. 1670--1676.

.... involves both mechanical operations (to produce holes and pockets in the substrate) and electronic operations (such as artwork generation and soldering operations) Each of these is discussed briefly below: # For complex machined parts it can be quite difficult to generate good process plans (Nau et al. 1995). In particular, if the part geometry is complicated, it can be very difficult to determine what machining operations to use in what order, and how best to clamp the part to hold it in place during machining. However, for microwave modules the geometry of the substrate is relatively simple, and ....

Nau, D.; Regli, W.; and Gupta, S. 1995. AI Planning Versus Manufacturing-Operation Planning: A Case Study. IJCAI-95.

....programming . Tradeoff analysis Generating and Evaluating Designs and Plans 38 1 Introduction AI planning technology is coming of age: it is finally becoming capable enough to be useful in a wide variety of practical settings (Aarup et al. 1994; Wilkins and Desimone 1994; Agosta 1995; Nau et al. 1995; Smith et al. 1996; Nau et al. 1998; Smith 1998; Munoz et al. 1999a; Munoz et al. 1999b) However, this very success raises several issues that have not yet been addressed adequately by previous research: Planning systems for real world planning problems will need to have ways whereby people ....

Nau, D.; Gupta, S.K.; and Regli, W.C. (1995). AI planning versus manufacturing-operation planning: a case study. In Proceedings of the 14 th International Joint Conference on Artificial Intelligence, 1670-1676. Morgan Kaufmann, San Mateo, California.

....programming . Tradeoff analysis Generating and Evaluating Designs and Plans 2 1 Introduction AI planning technology is coming of age: it is finally becoming capable enough to be useful in a wide variety of practical settings (Aarup et al. 1994; Wilkins and Desimone 1994; Agosta 1995; Nau et al. 1995; Smith et al. 1996; Nau et al. 1998; Smith 1998; Munoz et al. 1999a; Munoz et al. 1999b) However, this very success raises several issues that have not yet been addressed adequately by previous research: Planning systems for real world planning problems will need to have ways whereby people ....

Nau, D.; Gupta, S.K.; and Regli, W.C. (1995). AI planning versus manufacturing-operation planning: a case study. In Proceedings of the 14 th International Joint Conference on Artificial Intelligence, 1670-1676. Morgan Kaufmann, San Mateo, California.

....with immediate feedback on how to improve the cost and productivity of their designs. 1 Introduction AI planning technology is coming of age: it is finally becoming capable enough to be useful in a wide variety of practical settings (Aarup et al. 1994; Wilkins and Desimone 1994; Agosta 1995; Nau et al. 1995; Smith et al. 1996; Estlin et al. 1997; Nau et al. 1998; Smith 1998; Munoz et al. 1999a; Munoz et al. 1999b) However, this very success raises several issues that have not yet been addressed adequately by previous research: fielded planning systems will need to make it easy for people who are ....

Nau, D.; Gupta, S.K.; and Regli, W.C. 1995 AI planning versus manufacturing-operation planning: a case study. In Proceedings of the 14 th International Joint Conference on Artificial Intelligence, 1670-1676. Morgan Kaufmann, San Mateo, California.

....Design Assembly These phases need to be executed concurrently for optimal and easily manufacturable designs Population Module Assembly Individual Unsatisfactory Redesign suggestions Device Unsatisfactory Figure 1 Design and manufacturing cycle for microwave T R modules. 1 MOTIVATION In [20], we argued that although AI planning techniques can potentially be useful in several manufacturing domains, this potential cannot be realized without developing more realistic and more robust approaches to issues important to manufacturing engineers. We further argued that by looking ....

....at issues important to manufacturing engineers, AI researchers might be able to discover principles relevant for AI planning in other domains. This paper attempts to address both of these objectives, in a manufacturing planning domain quite different from the machining domain described in [20]: the design and manufacture of complex electro mechanical devices. More specifically, this paper focuses on the use of AI planning techniques for process planning in the design and manufacture of microwave transmit receive (T R) modules (described further in Section 3) Figure 1 illustrates the ....

[Article contains additional citation context not shown here]

D. S. Nau, S. K. Gupta, and W. C. Regli.(1995) AI planning versus manufacturingoperation planning: a case study, in Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1670--1676, Morgan Kaufmann, San Mateo, California.

No context found.

Nau, D. S., Gupta, S. K., & Regli, W. C. (1995). AI planning versus manufacturingoperation planning: A case study. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence Montreal, Canada.

No context found.

Nau, D. S., Gupta, S. K., Regli, W. C.: AI Planning Versus Manufacturing-Operation Planning: A Case Study. In Proc. of the IJCAI-95, Montreal, 1670---1676, (1995)

No context found.

Dana S. Nau, Satyandra K. Gupta, and William C. Regli. AI planning versus manufacturing-operation planning: a case study. In Proceedings of the Forteenth Internation Joint Conference on Artificial Intelligence, Montreal, August 1995.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC