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- W4366988963 abstract "Market demands drive the path of manufacturing companies so that the optimum demand and supply incurred in production of low-priced standard products with high precision at the minimum timeframe is achieved. Market requests will in general be intricate, and brimming with difficulties particularly in high speed mechanical settings. The conventional production methods have no other option but to change and adjust with the new methods of parameter optimization techniques, controlling as well as planning so that increasing demands are met with ease. Intelligent manufacturing techniques procured that would invite R&D of optimization methodologies by producing at a faster rate of standard products at a lower cost. The targeted areas are to review and discuss recent trends and methods of optimization techniques in the emerging field of intelligent manufacturing with the challenges. The fundamental conversation remembers the use of enhancement methods for three regions: the shrewd interaction arranging and booking, intelligent cycle control/the board, and cycle boundary determination. The goal of this paper is to momentarily sum up ongoing patterns in the use of optimization methodologies inside conventional machining frameworks, which adds to the advancement of intelligent machining systems. This paper is categorized into three main sections i.e. introductory section, the second section consist of main discussions the last section prominent the opportunities and challenges as well as prospect of the intelligent manufacturing system. The main discussions portion have organized into three sections which includes the reviews of the latest developments in the usage of optimization techniques in intelligent planning and process management in intelligent machining systems. The second section discusses intelligent process control and management which can be defined as the usage of superior techniques within control systems. This formula, ensures a possible, balanced, and steady machining operations. Lastly, the third section discusses the trends researchers have been focusing on regarding in configuration, organization, planning and optimization of IMS is discussed and developed." @default.
- W4366988963 created "2023-04-27" @default.
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- W4366988963 date "2023-04-24" @default.
- W4366988963 modified "2023-09-26" @default.
- W4366988963 title "Optimization Methodologies in Intelligent Manufacturing Systems" @default.
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- W4366988963 doi "https://doi.org/10.1002/9781119836780.ch11" @default.
- W4366988963 hasPublicationYear "2023" @default.
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