Applications of Multi-Objective Optimization to Industrial Processes: A Literature Review

Abstract

Industrial processes provide several of the products and services required for society. However, each industry faces different challenges from different perspectives, all of which must be reconciled to obtain profitable, productive, controllable, safe and sustainable processes. In this context, multi-objective optimization has become a powerful tool to aid the decision-making mechanism in the synthesis, design, operation and control of such processes. The solution to the mathematical models provides the necessary tools to asses the system performance in terms of different metrics and evaluate the trade-offs between the objectives in conflict. The number of applications of multi- objective optimization in industrial processes is ample and each application has its own challenges. In the present literature review, a broad panorama of the applications in multi-objective optimization is presented, including future perspectives and open questions that still need to be addressed.

A Decision Support Model for Mitigating Supply Chain Risks Based on a Modified FMEA, Multi-Objective Optimization and Multi-Criteria Decision-Making Approach

“…Occurrence table [65] Detectability table [ We can mathematically design the values of each of the three components, occurrence, severity, detectability by Oi, Si, Di.…”

Lean-and-Green Datacentric Engineering in Laser Cutting: Non-Linear Orthogonal Multivariate Screening Using Gibbs Sampling and Pareto Frontier

“…The Pareto frontier solution is a set of Pareto efficient solutions for multi-objective screening optimization [46][47][48][49][50][51][52][53][54][55]. In a generalized manner, the multi-objective optimization problem is cast to the form minimize X R(X) = [R 1 (X), R 2 (X), .…”

“…Consequently, a robust application of linear regression can be applied to size the factorial effects through the approximated coefficients of regression. To estimate an optimal solution, the Pareto frontier method is implemented [46][47][48][49][50][51][52][53][54]. The Pareto frontier approach has been used regularly in quality improvement studies that seek to simultaneously optimize several product and process characteristic performances [55][56][57][58].…”

A Review of Automation and Sensors: Parameter Control of Thermal Treatments for Electrical Power Generation

“…Due to the versatility of the produced fuel (syngas), it is interesting to determine which application presents more advantages for a specific industry depending on the objectives and the supply chain by applying multi-objective optimization to make the waste treatment process rentable and feasible for different electrical systems [30].…”