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This paper presents a feedback neurocontrol scheme that uses an inverse turning process model to synthesize optimal process inputs. The inverse process neurocontroller is implemented in a multilayer feedforward neural network. On-line adjustments of feed rate and cutting speed parameters are carried out based on a cost/quality performance index, estimated from force and vibration sensor measurements. Both non-adaptive and adaptive neurocontrol schemes are considered. The simulations and experimental investigations presented herein demonstrated the effectiveness of neural networks for controlling and optimizing turning operations. Applied to single point turning of a typical finishing cut, the final dimensions and surface finishes were found to be better by 40 and 80 percent respectively, while productivity was increased by 40 percent over the conditions proposed in machining data handbooks. This approach is also applicable to several other manufacturing processes.

PurposeThe purpose of this paper is to investigate the agility of advanced manufacturing technologies (AMTs) in furniture enterprises, and explores the appropriateness of a typology framework that correlates the technology infrastructure of the enterprise with its manufacturing strategy.Design/methodology/approachThis paper uses a clear and rigorous case study design and protocol. Empirical data are collected using structured surveys of two strategically selected furniture enterprises. The collected data are used to analyze the fit between the technology infrastructure of the enterprise and its strategic goals, and how this fit correlates with the theoretical categories stated by the typology.FindingsThe case studies suggest that enterprise performance could be maximized if the competitive priorities and the customization strategy put in practice are in conformity with the available technology.Research limitations/implicationsThe findings of the case studies corroborate the all inclusive hypothesis suggested by the typology. The lack of triangulation of multiple data sources for more confidence about the results or the typology framework itself remains a limitation in this study. The two cases were representative to a certain extent of two out of the three theoretical ideal types stated by the typology.Practical implicationsThe explored typology can serve as a supporting tool for managers when making strategic investment decisions in their pursuit of a mass customization strategy within a specific market.Originality/valueThe originality comes from the way the properties that should be displayed by the technologies used in furniture manufacturing enterprises to develop agility are drawn together.

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