scholarly journals Classification of kelp farming management bodies based on production systems and production strategies

2014 ◽  
Vol 80 (1) ◽  
pp. 34-44
Author(s):  
YOUSUKE FUJII ◽  
NARIHARU YAMASHITA
2021 ◽  
Vol 43 ◽  
pp. e55825
Author(s):  
Roberto Outa ◽  
Fábio Roberto Chavarette ◽  
Aparecido Carlos Gonçalves ◽  
Sidney Leal da Silva ◽  
Vishnu Narayan Mishra ◽  
...  

The motivation for the development of this work arose from the observation of maintenance in pressure vessels, which are categorized as highly hazardous security risk products. The costs of detecting failures in the production systems allow the result of the process to be safe and of good quality, using standardized tests internally within the company. The main objective of this work demonstrates the efficiency and robustness of the artificial immune system (AIS) of negative selection in the detection of failures by recognizing the vibration signals and categorizing them in the degree of probability and level of severity of failures. The intrinsic objectives are the application of the elimination of signal noise by the Wiener filter, and the processing of data-Wiener data using experimental statistics. The result of this work successfully demonstrates the precision between the experimental statistical and AIS techniques of negative selection; the robustness of the algorithm in precision and signal recognition; and the classification of the degree of severity and probability of failure


2007 ◽  
Author(s):  
Matthew D. Tremblaya ◽  
Jorge E. Ballesio ◽  
Bret C. Montaruli

2014 ◽  
Vol 31 (4) ◽  
pp. 346-366 ◽  
Author(s):  
Ruy Victor B. de Souza ◽  
Luiz Cesar R. Carpinetti

Purpose – This paper presents a proposal of adaptation of the failure mode and effect analysis method to analyze wastes and define priorities for actions aimed at minimizing or eliminating these wastes based on the criteria of severity, occurrence and detection. Design/methodology/approach – The proposition was developed in parallel to the implementation of a lean production system of a manufacturing company. A pilot application of the proposal was based on the analysis of a flow of information for order processing. Findings – Application of the proposed procedure results in a classification of levels of priority for waste reduction of the analyzed waste modes. Following this procedure, high priority will be given to actions focused on the elimination or minimization of the most common causes of the most severe waste modes. Originality/value – Prioritization of actions to minimize waste is essential to sustain lean production systems. However, identifying the wastes most in need of attention is not always straightforward and methods presented in the literature to evaluate leanness do not focus on waste reduction prioritization. Adoption of the proposed technique can certainly aid planning implementation and improvement of lean production programs, and in the end, it can contribute to the effectiveness and sustainability of lean production systems.


2021 ◽  
Vol 12 (05) ◽  
pp. 481-502
Author(s):  
Víctor Barrera ◽  
Álvaro Monteros-Altamirano ◽  
Marilú Valverde ◽  
Luis Escudero ◽  
Joanna Allauca ◽  
...  

2017 ◽  
Vol 41 (1) ◽  
pp. 247-276 ◽  
Author(s):  
Maciej Chlebus ◽  
Sylwia Werbińska-Wojciechowska

Abstract In the paper, authors focus on a problem of reliable performance of production processes. Reliability analyses of production systems regard considering many different factors and requirements. As a result, the paper discusses the basic definitions from the area of production engineering and reliability theory. Based on the literature research, there is proposed a basic classification of methods for production processes reliability assessment. Later, authors focus on the development of a multidimensional approach to production process reliability assessment. The work ends up with summary and directions for further research.


2020 ◽  
Vol 22 (2) ◽  
pp. 142-157
Author(s):  
Jaqueline Geisa Cunha Gomes ◽  
Marcelo Tsuguio Okano ◽  
Iwona Otola

2018 ◽  
Vol 15 (03) ◽  
pp. 1850025
Author(s):  
Hassan Arabshahi ◽  
Hamed Fazlollahtabar

This paper proposes a framework for classification of innovative activities in production systems based on corresponding calculated risk intensity using decision tree method. A three-step process is developed. The basis of the framework is the innovative activities collected from the literature. These activities are collected from the related literature and are classified by decision tree based on Gini Index. The configured tree is then used to extract and compose rules applying rule mining technique. The resulting rules can be useful sources of information for managers, investors and predictors of innovation domain to take the appropriate approaches for innovation risk management and innovation investment.


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