A model for sector restructuring through genetic algorithm and inverse DEA

Guijarro, Francisco; Martínez-Gómez, Mónica; Visbal-Cadavid, Delimiro

doi:10.1016/j.eswa.2020.113422

Cited by 28 publications

(14 citation statements)

References 41 publications

(45 reference statements)

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“…In this research, genetic algorithm (GA) was selected to search for the global optimal parameters based on the natural evolutionary processes that enable species to adapt to their environment [34]. In the process of GA optimization, the discrete step length of individual variables has a key impact on the efficiency of parameter optimization, especially for parameter with a larger range of values.…”

Section: Optimization Methods Of Decomposition Parametersmentioning

confidence: 99%

Online chatter detection in robotic machining based on adaptive variational mode decomposition

Chen

Zhang

et al. 2021

Preprint

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Chatter is the main problem that limits the application of industrial robots in the field of machining process. It is critical important to establish an adaptive chatter detection solution for robot machining process and realize the online detection of chatter. However, different from machine tool chatter, the chatter in robotic machining process is more complex to be detected due to the variable stiffness characteristics and weaker stiffness of normal industrial robot, and the existing literature has less research on this problem. This paper presents a comprehensive solution for online chatter detection in robotic machining process. Firstly, in order to detect the chatter in robotic machining process and avoid mode mixing problem in variational mode decomposition (VMD) process, an adaptive variational mode decomposition (AVMD) method based on kurtosis and instantaneous frequency is proposed, which realizes the adaptive selection of the decomposition parameter. Secondly, optimal decomposition parameters are calculated by using genetic algorithm. By optimizing the discrete step length of decomposition parameter, it greatly reduces the optimization time. Last but not least, approximate entropy, energy entropy and proposed entropy drift coefficient are extracted to distinguish chatter and stable machining state. Simulation and experimental results show that the proposed method can meet the real-time requirements of online detection and detect the occurrence of chatter effectively.

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Section: Optimization Methods Of Decomposition Parametersmentioning

confidence: 99%

Online chatter detection in robotic machining based on adaptive variational mode decomposition

Chen

Zhang

et al. 2021

Preprint

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“…erefore, the genetic algorithm provides a general framework for solving complex system problems. It does not depend on the specific field of the problem and has strong robustness to the type of problem, so it is widely used in various fields [30][31][32][33][34].…”

Section: Genetic Algorithm Optimizationmentioning

confidence: 99%

Analysis and Optimization of Static Contact Characteristics of Heavy-Duty Tracked Vehicle Rollers

Tian

Fang

Wang

et al. 2021

Mathematical Problems in Engineering

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The static contact characteristics of heavy-duty tracked vehicle roller and track plate contact structure are analyzed, and the influence mechanism of the roller’s shape parameters on the contact stress is studied. According to the Hertz contact theory, a mathematical model of the roller and track plate contact is established. The contact structure model is established in ANSYS software, and the simulation results are compared with the Hertz theory results to verify each other. In the parameter optimization section for the roller and track plate, based on the Hertz stress calculation formula, a new method is proposed to establish a roller and track plate Kriging model and to globally optimize the model by the genetic algorithm (GA). After that, the relationship among the track roller radius R 1 , the track roller rim radius r 1 , and the track plate rim radius r 2 is analyzed. The results show that the difference between the radius of the rim of the roller and the track plate and the radius of the roller rim both affect the maximum contact stress. Changing the plane contact into the curved surface contact can reduce the maximum contact stress by 33%. This study can provide a reference for the design and manufacture of supporting track rollers and track plates.

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“…(Emrouznejad et al, 2019) proposed an inverse DEA model for allocation of CO2 emission for different chines regions. (Guijarro, Martínez-Gómez, & Visbal-Cadavid, 2020) dealt with technical inverse DEA and the merge problem that their model computes the global efficiency target by giving preference to merging DMUs over saving inputs. (Zhang & Cui, 2020) dealt with the inverse DEA based on non-redial DEA that call non-redial inverse DEA.…”

Section: Introductionmentioning

confidence: 99%

New inverse DEA models for budgeting and planning

2021

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Data envelopment analysis (DEA) measures the efficiency score of a set of homogeneous decision-making units (DMUs) based on observed input and output. Considering input-oriented, the inverse DEA models find the required input level for producing a given amount of production in the current efficiency level. This article proposes a new form of the inverse DEA model considering income (for planning) and budget (for finance and budgeting) constraints. In contrast with the classical inverse model, both input and output levels are variable in proposed models to meet income (or budget) constraints. Proposed models help decision-makers (DMs) to find the required value of each input and each output's income share to meet the income or budget constraint. We apply the proposed model in the efficiency analysis of 58 supermarkets belonging to the same chain. However, these methods are general and can be used in the budgeting and planning process of any production system, including business sectors and firms that provide services.

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A model for sector restructuring through genetic algorithm and inverse DEA

Cited by 28 publications

References 41 publications

Online chatter detection in robotic machining based on adaptive variational mode decomposition

Online chatter detection in robotic machining based on adaptive variational mode decomposition

Analysis and Optimization of Static Contact Characteristics of Heavy-Duty Tracked Vehicle Rollers

New inverse DEA models for budgeting and planning

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