sensitivity analysis

A solution method for a two-layer sustainable supply chain distribution model

An effective solution method for a two-layer supply chain network for a dairy processing industry, is found using optimization software modeFRONTIER. The main objectives of this study were the minimization of CO2 emission from transportation and reduction of total costs from operating the plants and serving transportation routes.

Artificial neural network development for stress analysis of steel catenary risers- Sensitivity study and approximation of static stress range

This study aims to assist preliminary fatigue design of steel catenary risers and demonstrates the potential power of combining automated calculations, DoE methods and ANNs in SCR fatigue design. The numerical models were created and post-processed by means of modeFRONTIER and Orcaflex using Python.

Mass Reduction and Energy Absorption Maximization of Automotive Bumper Systems

The main goal of automotive bumpers is to absorb kinetic energy during plastic structural deformation in order to prevent occupant injury.  Typically, the more mass a bumper has, the more energy it can absorb. However, more mass also means more material, higher costs and poorer fuel efficiency. modeFRONTIER was employed to carry out the optimization of the best possible bumper design given the two opposing objectives.

ECS System Simulation - Architecture and Performance Optimization from the Early Phases of the System Design

This case study from Alenia Aermacchi’s Environmental Control System (ECS) department shows how the different design disciplines involved are handled effectively through process integration and automation, enabling the optimization of the overall performance from the early stages of system design.

Structural optimization of a Transversal Rolling Mill Component to Improve Flexional Stiffness

This is a preliminary study to understand if an increased stiffness of a structural component of the transversal mill (the bar component) can bring some effects in the product by stabilizing the process. This work analyzes the bar sustaining the plug, a component of the expander mill. The team must solve to increase the stiffness of the bar trying to keep the mill set up stable.

Computerized Crash Reconstruction of Real World Crashes Using Optimization Methodology

In this case study, the researchers modify the parametric methodology to include an optimization scheme to derive an optimal solution for the reconstruction problem in a given range of unknown parameters. Results of the simulations showed that the optimal solution correctly predicted both the occupant-vehicle contacts and the injuries sustained during the crash. 

A Case Analysis of a Sustainable Food Supply Chain Distribution System–A Multi-Objective Approach

Food industry players are faced with environmentally conscience consumers and pressure to become sustainable in their supply chain. Distribution needs to meet the environmental standards by reducing CO2 during transportation while still being economically competitive and cost effective. The sustainable distribution process presented enables the supply chain decision maker to reduce the total carbon emission from the transportation involved in the entire distribution process while simultaneously optimizing total costs.

Multi-objective Optimization of Automotive Assembly Line Configurations

The early-stage design of automotive assembly lines is a critical multi-objective task. The design process is typically carried out in industry by continuous iterations between the process design department and the simulation and systems engineering department. 

Multiobjective Electromagnetic Optimization of RF components

Engineers sought to identify the best robust RF design solutions in an easier and faster way. Optimization procedures for 3 three RF components are presented: seven-element antenna array, isoflux antenna for LEO satellite down-handling link and 3D cavity filter.

Composite Material Multi-Objective Optimization Using Ansa, mETA and modeFRONTIER

modeFRONTIER workflow automation and optimization capabilities enabled Formula 1 car front wing engineers to integrate with ANSA and mETA software and reduce the weight by 27.4% and the angle of attack by 2.5%, thereby significantly improving the drag coefficient.