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In order to strike a balance between cost and availability, the present study presents the strategic implementation of the hybrid lean-agile manufacturing system. The proposed implementation is based on literature review and statistical analysis. The study presents short term and long term proposed plans for implementing this newly developed system in a sustainable way. It shows how the strategic facet of the hybrid lean-agile manufacturing system addresses the key manufacturing competitive dimensions. The paper presents as well a cost-benefit analysis in comparison with the lean manufacturing system and agile manufacturing system based on the net present value. The study shows that the expectedly most efficient among the manufacturing systems is the Hybrid Lean-Agile Manufacturing System with normalized comparative improvement of about 58% and 42%, respectively.

E-spring is a recent innovation in vehicle suspension springs. Its behavior and characteristics are investigated experimentally and verified numerically. The mechanical and frequency-response-based properties of E-springs are investigated experimentally at both of the structural and constitutional levels. Thermoplastic-based and thermoset-based fibrous composite structures of the E-springs are modified at micro-scale with various additives and consequently they are compared. The experimental results reveal that additives of micrometer-sized particles of mineral clay to an ISO-phthalic polyester resin of the composite E-spring can demonstrate distinguished characteristics. A hybrid approach of the inter-laminar shear stress and Tsai-Wu criteria is implemented in order to identify failure indices numerically at the utmost level of loading and verify the experimental results.

A hybrid search optimization is presented in order to optimize hybrid laminated fibrous composite E-springs for vehicle suspension systems. This optimization is conducted with both of the geometrical configuration and laminate structure of the E-spring. A genetic algorithm along with a hill-climbing random-walk approach are used through a developed NURBS-based technique in order to conduct this optimization. A mathematical-modeling-based mid-ware technology is introduced in order to fully automate the optimization process through linking the run engines of mathematical modeling and finite element analysis from within the mathematical modeling engine. A hybrid approach of the inter-laminar shear stress and Tsai-Wu criteria is first implemented in order to identify failure indices of the resulting optimum shape and laminate structure.