Performance of Genetic Algorithms in the Solution of Permutation Flowshop...
AbstractScope of this paper is to investigate the applicability of Genetic Algorithms to the solution of Static Permutation Flowshop problem and to compare their performance with those obtained with...
View ArticleA Review of Different Approaches to the FMS Loading Problem
AbstractLoading in flexible manufacturing systems (FMSs) is affected by the characteristics of the FMS under analysis, by the type of plant where the FMS is introduced, and by the production planning...
View ArticleManufacturing process quality control by means of a Fuzzy ART neural network...
AbstractNeural networks are potential tools that can be used to improve process quality control. In fact, various neural algorithms have been applied successfully for detecting groups of well-defined...
View ArticleFM for FMS: Lessons Learned While Applying Formal Methods to the Study of...
AbstractIn the past few years two research groups of Politecnico di Milano, whose activities were centered on Formal Methods for the production of critical software and on industrial manufacturing...
View ArticleGeometric Tolerance Specification
AbstractIn conventional tolerancing, the efforts of designers are mainly directed at selecting suitable values for linear tolerances on part dimensions. These are either determined by trial and error...
View ArticleA Model-free Approach for Quality Monitoring of Geometric Tolerances
AbstractProfile monitoring can be effectively adopted to detect unnatural behaviors of machining processes, i.e., to signal when the functional relationship used to model the geometric feature...
View ArticleModelling of back tempering in laser hardening
AbstractBack tempering is one of the most critical problems in laser hardening of extended surfaces. In this type of treatment, several laser tracks are slightly overlapped to obtain a uniform hardened...
View ArticleA Kriging-based algorithm to optimize production systems approximated by...
AbstractProduction system optimization still remains a difficult problem even if fast analytical methods are used to estimate their mean performance measures. This paper addresses optimization problems...
View ArticleAbout Fluence and Process Parameters on Maraging Steel Processed by Selective...
AbstractIn this paper the influence of process parameters and fluence on mechanical properties of maraging steel in Selective Laser Melting (SLM) is studied. The results of the present work show that...
View ArticleOptimization of cutting conditions using an evolutive online procedure
AbstractThis paper proposes an online evolutive procedure to optimize the Material Removal Rate in a turning process considering a stochastic constraint. The usual industrial approach in finishing...
View ArticleThe effect of energy density and porosity structure on tensile properties of...
AbstractUnderstanding the influence of process parameters and defect structure on the properties of parts produced via laser powder bed fusion (L-PBF) is a fundamental step towards the broader use of...
View ArticleProcess optimization via confidence region: a case study from micro-injection...
AbstractIn industrial research, experiments are designed to determine the optimal factor levels of the process parameters. Typically, experimental data are used to fit empirical models (for example,...
View ArticleA techno-economic approach for decision-making in metal additive...
AbstractThis work presents a decision-making methodology that allows the merging of quantitative and qualitative decision variables for selecting the optimal metal Additive Manufacturing (AM)...
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