Business Innovation

Design

Design

We support our customers along the whole design process from product specifications to construction drawings providing feasibility studies, cost analysis, concept product design, co-design, simultaneous engineering and product detailed design.
Manufacturing

Manufacturing

Ce.S.I. competences has been enlarged to offer also manufacturing services in the field of precision machining.
Advanced Engineering

Advanced Engineering

Ce.S.I. can provide innovative product concepts supported by CAE simulations (static, dynamic, linear and non-linear) and by its extensive expertise in adaptronics and micro-engineering. Experimental modal analysis, Reliability & Maintainability (R&M) analysis, Discrete Event Simulation complete the offered range of engineering tools and methodologies for technology development, adaptation and application.
Business Innovation

Business Innovation

Ce.S.I. provides technology surveys, market analysis and benchmarking. We formulate product development strategies from the privileged perspective of technology experts and developers. From our knowledge of funding instruments we can identify side by side with customers and partners the most suitable R&D funding opportunities.

Ce.S.I. can cover all the activities related to R&M simulation/analysis within the design cycle of machinery system.  
R&M simulation framework
Ce.S.I. proposes a design for Reliability following a component-by-component approach: starting from the machine level the system is partitioned through a morphological-functional decomposition allows detecting the critical elements and their reliability/maintainability issues. These are listed and represented through a RBD (Reliability Block Diagram) scheme, which enables the user to draw on the screen a visual hierarchical layout of the system and to enter R&M parameters.
Each block (at lower levels of the system) is described through statistical R&M models with parameters Life Data Analysis methods (based on the collection of historical field data and/or accelerated life test data).
The quantitative reliability prediction of the overall system, by a bottom up approach, is then enabled by means of statistical analysis and Monte Carlo simulations. For that purpose Ce.S.I. uses dedicated software tools.
Techniques such as failure mode and effect analysis (FMEA) and fault tree analysis (FTA) are also included to help to determine the cause of the problems and may help to predict failures, thus allowing a prevention scheme to be devised. Moreover, Ce.S.I. performs RGA (Reliability Growth Analysis) for repairable system and renewable processes using data collected during the operative life when components are repaired, fixed and/or substituted. The approach is based on NHPP (Non-Homogenous Poisson Process) and Power Law. These distributions are particularly suitable for the assessment of production equipment reliability subject to non-constant failure rate.
R&M analysis output will feed LCC calculation tools and/or models to properly calculate the overall system cost over its lifespan taking correctly into account the recurring costs connected to R&M issues (such as costs of part failures, repairs and spares).
Life Cycle Cost supports parametric and bottom-up cost analysis types. Calculated cost outcomes will include also ‘sensitivity’ analysis ( i.e.; the study of how the variations or uncertainty in the outputs of LCC model depend on the different variations in the R&M inputs of the model), the analysis of various options (e.g. different scenarios assessment and comparison) and Net Present Value (NPV) computations.
The above estimations allow the optimal selection of Maintenance strategies (among corrective (unscheduled), preventive (scheduled) and predictive) for each asset of the system in order to minimise operative supporting cost while maximising overall system availability.

Ce.S.I. Centro Studi Industriali
20093 Cologno Monzese (MI) Italy - via Tintoretto, 10
Phone: +39 02 254 02 44

P.IVA 00815570965