Guideline Identification for Optimization under Uncertainty through the Optimization of a Boomerang Trajectory
In this paper we address the process of optimization under uncertainty (OUU) through the optimization of a boomerang trajectory. All the simulations were done with the modeFRONTIER integration platform for multiobjective and multidisciplinary optimization. To reduce the computational cost, we consider variable screening as a preliminary step before performing a stochastic optimization. For the latter we use a method that combines robustness and reliability assessments within a single optimization run.
Analysis of manufacturing supply chains using system dynamics and multi-objective optimization
Supply chains are complex networks where multiple performance measures point at different levels, hence decision making is more than a single objective optimization problem. The aim of this work is to introduce a methodology to address supply chain management problems within a multi-objective optimization environment using modeFRONTIER.
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.
modeFRONTIER applications in Brazilian industry
Brazilian industry is spread in wide variety of sector as Aerospace, Oil & Gas, Mining, Logistics & Supply Chain, Energy, etc. Despite their differences, a set of companies such as Embraer, Petrobras, Vale and WEG are using Optimization Techniques to better design products and processes.
Automated Deployment of System Models via Functional Mockup Interface with Excel and modeFRONTIER
This presentation provides a brief overview of FMI with a focus on end-user value and demonstrates a method for automated deployment of system models in Modelica as simulators in Microsoft Excel using Functional Mockup Interface (FMI) and FMI Add-in for Excel. Using existing interfaces, integration with modeFRONTIER is demonstrated and exercised with several different example system models in different physical domains.
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.
Improved System Design of an Emergency Department through Simulation-Based Multi-Objective Optimization
A University of Skövde researcher studied the organization of the Emergency Department (ED) of the Hospital of Skövde on how to best meet the requirements established by the County Council concerning waiting-time for triage, physician examination and total lead time though the system.
modeFRONTIER as a Design Optimization Educational Tool
This presentation shows how the course is structured and how to guide students to gain both theoretical knowledge on optimization-based design and acquire some practical experience using state-of-the-art optimization tools such as modeFRONTIER.
Optimization of Complex Systems - A Resource Drain or Advantage It Depends on Your Approach
Marc Halpern (VP Research at Gartner) addresses the challenges of modeling, simulating and optimizing systems reliably when the level of complexity inf manufactured products rises and makes predicting systems’ behavior even harder.
Optimisation procedures as an Engineering tool - examples
In this presentation, professor Giovanni Lombardi from the Polytechnic University of Milan illustrates the benefits of aerodynamic optimization applied in different sectors (automotive, energy, marine, etc.) based on several case studies.