Fused deposition modelling (FDM) is a fast growing and low-cost 3D printing technology in order to comply most prominent demands of today’s industries in terms of capability to fabricate complex parts along with high flexibility in design. The dimensional accuracy, is an urgent need of final parts printed by FDM process, that is primarily influenced by the process parameters. Optimizing the process parameters which significantly influence the dimensional accuracy is the primary goal of this study in order to achieve the ultimate final part quality. This experimental study investigates the effect of different process parameters viz. layer height, raster angle, nozzle temperature and surrounding pressure on thickness of the final part for Poly Lactic Acid (PLA) filament. Experiments, based on Taguchi’s L9 orthogonal array, were performed and subsequently experimental data have been analysed by ANOVA. It has been observed that the layer height is the most significant factor in order to achieve the dimensional accuracy.

This work provides an overview of level of repair optimizations addressed in the field of system design reliability and maintenance planning for fleet architecture. The review provides the detail in reliability design and various aspects of fleet maintenance planning viz., analysis of repair options, preventive maintenance optimization, and inventory level optimization. The interdependencies among all these decisions are also discussed. The scope of this work is to highlight the inputs from the literature. The gaps identified from the literature are also mentioned. The focused literature related to reliability design, analysis for LOR and multi-indenture inventory parts optimization has been reviewed. Literature related to joint consideration of these planning aspects in fleet system is also discussed. The literature review has helped in identifying recent work in the field of reliability design and fleet maintenance planning.