Applying Artificial Intelligence to the Scheduling of Flexible Manufacturing Systems: a Pattern Directed Approach PDF Download
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Author: Michael Shaw
Publisher:
ISBN:
Category : Production planning
Languages : en
Pages : 33
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Book Description
Author: Michael Shaw
Publisher:
ISBN:
Category : Production planning
Languages : en
Pages : 33
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Author: Antonio Reyes Moro
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: JooHee Kim
Publisher:
ISBN:
Category : Expert systems (Computer science)
Languages : en
Pages : 284
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Book Description
Expert systems have been suggested as a solution for difficult problems, including FMS scheduling. As one of the aspects of artificial intelligence (AI), expert systems have achieved considerable success in recent years in medical science, chemistry, and engineering. However, building an expert system is a difficult task, the most crucial problem being that of knowledge acquisition. Obtaining expert knowledge is a difficult and time-consuming process. Moreover, since FMSs represent a relatively new technology, experts capable of FMS planning and scheduling are generally unavailable. One possible solution for this problem is to train a non-expert operator, allow the operator to practice with a simulated system and accumulate experience, and then build an expert system using the newly acquired knowledge. To this end, an interactive graphic simulation method for the effective utilization of human pattern-recognition ability is proposed. Once the required knowledge is elicited through an interactive graphic simulation model, an expert system is developed from acquired rules. The method includes an FMS simulation model, a Gantt chart-based schedule, a simulator, an expert system, and a human operator. First, an initial schedule is simulated, utilizing the expert system to determine the loading sequence and a dispatching rule. The schedule is then updated by an expert system and/or human operator with the capability of maximizing schedule objectives, while at the same time saving reasons for changes as new production rules, which are subsequently generalized and added to the expert system knowledge base. The system is implemented in Smalltalk/V on an IBM PC/AT and the implementation is based upon a detailed sample problem. It was determined that a human operator can obtain near-optimum schedules in short time periods, at the same time gaining valuable experience in use of the scheduling process. Furthermore, it was determined that this model can be a useful training device for inexperienced operators and a time-saving decision-making aid for expert schedulers.
Author: Georg Gottlob
Publisher: Springer Science & Business Media
ISBN: 9783540531043
Category : Computers
Languages : en
Pages : 274
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Book Description
The goal of the International Workshop on Expert Systems in Engineering is to stimulate the flow of information between researchers working on theoretical and applied research topics in this area. It puts special emphasis on new technologies relevant to industrial engineering expert systems, such as model-based diagnosis, qualitative reasoning, planning, and design, and to the conditions in which they operate, in real time, with database support. The workshop is especially relevant for engineering environments like CIM (computer integrated manufacturing) and process automation.
Author: Kieran D. Mathieson
Publisher:
ISBN:
Category :
Languages : en
Pages : 147
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Author: Luis C. Rabelo
Publisher:
ISBN:
Category : Computer integrated manufacturing systems
Languages : en
Pages : 187
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Book Description
"Flexible manufacturing system (FMS) scheduling is a complex problem in nature that leads to a high level of uncertainty due to limited feasible solutions in an extensive search space. Heuristics involving dispatching rules have been widely utilized to obtain good solutions. This strategy has been recently enhanced by FMS scheduling researchers using knowledge-based expert systems as means of resolving scheduling problems. Unfortunately, the knowledge-based expert systems (KBESs) developed are limited in real-time performance due to cracks in their encoded knowledge or lack of adequate plans to address the changing environment. A framework is developed displaying the capabilities of automatic learning and self-improvement, providing the necessary adaptive scheme to respond to the dynamic nature of flexible manufacturing systems. This proposed framework uses a hybrid architecture that integrates artificial neural networks and knowledge-based expert systems to generate solutions for the real time scheduling of flexible manufacturing systems. In this framework, the artificial neural networks perform pattern recognition and, due to their inherent characteristics, support the implementation of automated knowledge acquisition and refinement strategies through a feedback mechanism. They enable the system to recognize patterns in the tasks to be solved in order to select the best scheduling rule according to different criteria. The knowledge-based expert systems, on the other hand, drive the inference strategy and interpret the constraints and restrictions imposed by the upper levels of the control hierarchy of the flexible manufacturing system. The level of self-organization thus achieved provides a system architecture with a higher probability of success than traditional approaches"--Abstract, leaf iii.
Author: Michael J. P. Shaw
Publisher:
ISBN:
Category :
Languages : en
Pages : 39
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Author: Khalid Karam Abd
Publisher: Springer
ISBN: 3319262963
Category : Technology & Engineering
Languages : en
Pages : 175
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This book focuses on the design of Robotic Flexible Assembly Cell (RFAC) with multi-robots. Its main contribution consists of a new effective strategy for scheduling RFAC in a multi-product assembly environment, in which dynamic status and multi-objective optimization problems occur. The developed strategy, which is based on a combination of advanced solution approaches such as simulation, fuzzy logic, system modeling and the Taguchi optimization method, fills an important knowledge gap in the current literature and paves the way for future research towards the goal of employing flexible assembly systems as effectively as possible despite the complexity of their scheduling.
Author: Kieran Donald Mathieson
Publisher:
ISBN:
Category : Production control
Languages : en
Pages : 294
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Author:
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 396
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Book Description
