Minimization of the Environmental Emissions of Closed-Loop Supply Chains A case study of returnable transport assets management
A closed-loop supply chain (CLSC) is a system where the forward and reverse flows of items occur and should be managed simultaneously. The proper management of a CLSC requires the design, control and operation of the system to maximize value creation over the entire life cycle of a product, with dynamic recovery of value from different types and volumes of returned items. This aim of this research is to evaluate and minimize the environmental impact of an existing CLSC.
A methodology for performance robustness assessment of low-energy
Uncertainties in building operation and external factors such as occupant behavior, climate change, policy changes etc. impact building performance, resulting in possible performance deviation during operation compared to the predicted performance in the design phase. The probability of occurrences of these uncertainties are usually unknown and hence, scenarios are essential to assess the performance robustness of buildings.
Formulation and optimization of involute spur gear in external gear pump
These analytical expressions are then used within a multi-objective numerical optimization algorithm aimed at minimizing both the ﬂow non-uniformity and the pump size to achieve a speciﬁc displacement.
Multi-objective Optimization of a V6 3.0L diesel engine under different operative conditions
This study couples optimizer modeFRONTIER and GT-SUITE in the configuration of an engine model. The aim is to improve performance over a wide range of operating conditions including full load, part load and transient maneuvers. The choice of the final optimum has been made thanks to the MCDM tool.
Modeling and multi objective optimization of closed loop supply chains
This paper investigates an optimization methodology of an asset management process in a real closed-loop supply chain (CLSC). The model is reproduced on a simulator and exploited for multi-objective optimization purposes, supported by the commercial software ModeFRONTIER.
Multidisciplinary Design Optimization of Vehicle Weight Reduction
In this study from ESTECO North America, a six-step MDO process is illustrated by solving a 2001 Taurus weight reduction problem with two formulations AAO and CO. The chosen optimization platform is modeFRONTIER plus SOMO. Conclusions show the advantages to using AAO methodology in MDO.
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.
Energy Efficiency Parametric Design Tool in the Framework of Holistic Ship Design Optimization
Recent International Maritime Organization (IMO) decisions with respect to measures to reduce the emissions from maritime greenhouse gases (GHGs) suggest that the collaboration of all major stakeholders of shipbuilding and ship operations is required to address this complex techno-economical and highly political problem efficiently. This calls eventually for the development of proper design, operational knowledge, and assessment tools for the energy-efficient design and operation of ships, as suggested by the Second IMO GHG Study (2009).
A multidisciplinary framework to support the design of injection mold tools
The design of injection mold tools is a complex process for which market pressures demand ever-shorter development time and higher quality level. Thus, it is considered imperative to adopt new methods and tools to support the design process, in order to achieve a more effective mold design solution.
Blade fir tree design by genetic algorithm method
This work design an automatic process governed by modeFrontier to optimize the fir tree shape using an adimensional parametrical model in MSC/Patran. The process run automatically different engine like Matlab for preliminary calculation, Patran and Nastran for detailed calculation. The process produce optimized solutions in compliance with all the design criteria.