Titlebook: Intelligent Scheduling of Robotic Flexible Assembly Cells; Khalid Karam Abd Book 2016 Springer International Publishing Switzerland 2016 M

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https://doi.org/10.1007/978-3-319-26296-3Multi-robot Assembly Cell; Multi-product Assembly Cell; Multi-objective Optimization; Dynamic Schedulin

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Khalid Karam AbdNominated as an outstanding PhD thesis by University of South Australia, Adelaide, Australia.Reports on a new methodology for scheduling robotic flexible assembly cells.Offers a comprehensive literatu

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Springer Theseshttp://image.papertrans.cn/i/image/469951.jpg

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Development of an Optimization Approach for Dynamic Scheduling Problems in RFAC,In Chap.?. the proposed approach designed to solve .-. optimization problems for dynamic scheduling was described. The aim of this chapter is to extend the approach proposed in Chap.?. to solving .-. optimization problems.

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Conclusions and Recommendations for Future Work,Flexible manufacturing systems have attracted significant attention in recent years due to their flexibility and capacity to deal with unexpected events. One class of such systems is called robotic flexible assembly cells (RFAC). The design of RFAC with more than one robot offers many advantages.

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Literature Review and Research Objectives,Chap. .. To achieve these improvements, the problems of RFAC at scheduling level need to be critically addressed. To date, researchers have paid little attention to handling the scheduling problems relevant to RFAC.

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Development of an Intelligent Methodology for Scheduling RFAC, years. Due to the complexity of these systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic (FL), genetic algorithms (GA) and neural networks (NN) have been successfully applied to the scheduling of advanced manufacturing systems.

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Case Study 1: Application of the Developed Methodology Using Fuzzy Logic and Simulation,atical model with simulation modelling. In this chapter, the proposed methodology will be examined using a realistic case study to prove the effectiveness of the methodology in generating the schedule for assembling multi-products.

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