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This paper proposes the geometry-based polylinal routing method as a solution for motion planning in object sorting exercises in manufacturing processes. This algorithm is based on geometric properties that arise from the interaction among objects within the configuration space. The method proposed in this paper, during its experimental phase, successfully generated smooth routes with a processing time ranging from 62.5-125 ms on a computer equipped with an AMD Ryzen 7 2700X Eight-Core 3.70 GHz processor and 16 GB of RAM. When compared to the RRT algorithm, it exhibits a higher efficiency of 38% to 48%, resulting in a reduction in iterative processes and a shorter response time. Therefore, the proposed method presents a viable solution for addressing motion planning scenarios in object sorting exercises. [ABSTRACT FROM AUTHOR]

The present paper introduces an algorithm for the integrated programming of production and preventive maintenance in a productive configuration of identical parallel machines, aiming to minimize the total manufacturing time. The algorithm has been structured in two phases; in the first one, an initial solution is obtained, resulting from the application of a designed and proposed constructive heuristic that is inspired by the Largest Processing Time dispatch rule, with some modifications allowing it to consider the stochastic nature of the problem and the possibility that several jobs may have different release dates; in phase 2, an attempt is made to improve the initial solution using a simulated annealing method. As a way of evaluating its feasibility the algorithm was implemented in a company producing products derived from plastic, demonstrating through the results obtained its potential as a mechanism to improve operational capabilities. [ABSTRACT FROM AUTHOR]

The monitoring of small magnitude faults is a specification that should be accomplished by data-driven fault diagnosis techniques in multimode industrial processes. This is a challenging problem because it is difficult to identifythedata of each stable operation mode considering the presence the transitions between them and the noise of the measurements. A method for the identification of stable operation modes is proposed in this paper. This is based in a modification of the clustering algorithm known as k-medians and is named incremental k-medians. His main advantages are: is robust against the presence of transitions, outliers and noise in the dataset, it is not required to know the number of modes previously to parameterize it and it is not required to make multiple runs of it. The monitoring scheme is built upon the identified modes. The proposed strategy is tested using a continuous stirred tank heater (CSTH). Results obtained for a fault with different magnitude in each mode demonstrate the effectiveness of the proposal. [ABSTRACT FROM AUTHOR]

Independent Component Analysis (ICA) is a statistical technique applied through the last ten years for dimensionality reduction in fault diagnosis on industrial systems. FastICA is the most popular algorithm in order to find the independent components. The independence measure and the feature selection criteria are two of the most important parameters to set on this algorithm. We propose in this paper a procedure to find a good combination of them based on achieve a good classification rate reducing the dimension of data the most possible. The proposed procedure is applied on the Tennessee Eastman Process plantas a model study. [ABSTRACT FROM AUTHOR]

This paper considers the problem of production scheduling in a real-life manufacturing plant belonging to the apparel industry. The problem is modeled as a two-stage flexible flow shop, with minimization of both makespan and number of tardy jobs. For this new scheduling problem, we propose a bi-objective evolutionary algorithm. A set of experiments is performed using real data from the company's data-base. Experimental results show the relevance of the proposed procedure in terms of performance metrics, as opposed to the current manual scheduling procedure as well as against available commercial schedulers. The procedure was actually implemented as the scheduler procedure at the company. Such results also illustrate the improvement in key performance metrics of the production line. [ABSTRACT FROM AUTHOR]