model similarity
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2021 ◽  
Author(s):  
Rahul Sharan Renu ◽  
Gregory Mocko

Abstract Many manufacturing enterprises have large collections of solid models and text-based assembly processes to support assembly operations. These data are often distributed across their extended enterprise. As these enterprises expand globally, there is often an increase in product and process variability which can often lead to challenges with training, quality control, and obstacles with change management to name a few. Thus, there is a desire to increase the consistency of assembly work instructions within and across assembly locations. The objective of this research is to retrieve existing 3d models of components and assemblies and their associated assembly work instructions. This is accomplished using 3d solid model similarity and text mining of assembly work instructions. Initially, a design study was conducted in which participants authored assembly work instructions for several different solid model assemblies. Next, a geometric similarity algorithm was used to compute similarity scores between solid models and latent semantic analysis is used to compute the similarity between text-based assembly work instructions. Finally, a correlation study between solid model-assembly instruction tuples is computed. A moderately strong positive correlation was found to exist between solid model similarity scores and their associated assembly instruction similarity scores. This indicates that designs with a similar shape have a similar assembly process and thus can serve as the basis for authoring new assembly processes. This aids in resolving differences in existing processes by linking three-dimensional solid models and their associated assembly work instructions.


Author(s):  
Salvador Martínez ◽  
Sébastien Gérard ◽  
Jordi Cabot

2021 ◽  
pp. 105960112110232
Author(s):  
Sjir Uitdewilligen ◽  
Mary J. Waller ◽  
Robert A. Roe ◽  
Peter Bollen

Drawing on the concept of requisite complexity, we propose that mental model complexity is crucial for teams to thrive in dynamic complex environments. Using a longitudinal research design, we examined the influence of team mental model complexity on team information search and performance trajectories in a sample of 64 teams competing in a business strategy simulation over time. We found that team information search positively influences performance growth over time. More specifically, and consistent with requisite complexity, we found that mental model complexity positively influences both performance growth and information search over time, above and beyond the effects of mental model similarity and accuracy.


2021 ◽  
pp. 002188632110093
Author(s):  
António C. M. Abrantes ◽  
Ana Margarida Passos ◽  
Miguel Pina e Cunha ◽  
Catarina Marques Santos

Organizational teams operate in increasingly volatile environments in which the speed and degree of change accelerates, demanding rapid adaptation processes namely of the improvisational type. It is therefore essential to understand how to prepare teams to operate in such contexts. This work investigates the effects of team mental model similarity, in-action reflexivity, and transitional reflexivity on team-improvised adaptation performance and on team-improvised adaptation learning. Two experiments were conducted with a total of 121 teams. We manipulated the independent variables and used an overtime design to measure team-improvised adaptation learning. Our findings suggest that teams operating in unpredictable environments that require rapid adaptation should be able to reflect collectively, both while acting and between tasks. These teams should also develop a common understanding of the main elements of the context and the task, so that they are effective in the face of unpredictability and rapid change.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jian Sun ◽  
Yuhao Liu ◽  
Gangshan Wu ◽  
Yecheng Zhang ◽  
Rongbiao Zhang ◽  
...  

Compared with using a single characteristic parameter of electrochemical impedance spectroscopy (EIS) to classify the freshness of fish samples from different origins, more characteristic parameters could bring higher accuracy as well as complexity, subjectivity, and uncertainty. In order to eliminate the disadvantages of the multiparameter model, a data fusion method based on model similarity (DFMS) was proposed in this study. The similarity relation between the freshness models based on EIS characteristic parameters and physicochemical indicator was analyzed and quantified accordingly, and then, the weighting factors of the fusion model were determined. The classification accuracy rate of fish freshness based on DFMS was 9.2∼15% greater than that of a single EIS characteristic parameter. The novel dimensionless fusion parameter method proposed in this article might provide a simple yet effective indicator for EIS-based food quality evaluation.


2021 ◽  
Vol 99 ◽  
pp. 41-53
Author(s):  
Lizeth Torres ◽  
Cristina Verde ◽  
Lázaro Molina
Keyword(s):  

Author(s):  
Artur Zagrebelnyy

The purpose of the article is to display some results of linguistic analysis of proverb adaptation motivated by the armed revolt in Moscow in December, 1905. The novelty of the research is that the adapted proverbs Moscow is not beautiful for its houses, but it is beautiful for its blood traces and Moscow brings no damage to Dubasov were chosen for the first time as objects of analysis in historical and cultural aspects by the method of historically distanced adapted proverb analysis, developed and approved by the author. The research method comprises elements of componential,contextual, logical and semiotic analysisalong with the dictionary definition interpretations. The article states the following results: original proverbal sources for cultural transformation may be stated as identification potential of the adapted proverbs by establishing a prototypical comparison system based on structural model similarity and assigning both adapted and proverbal phrases in Russian to one of the four highest logical and semiotic invariant groups; the method of historically distanced adapted proverb analysiscontributes to defining extralinguistic factors which caused formation of new language units; the judgments expressed by the adapted proverbs under studies were formulated; the types of adapted proverbs were singled out.The further studies of adapted paremiologymotivated by social and political events in 1905–1907 Russia might be considered as research prospects with compliancy of adapted paremiology dictionary for the period of the first Russian revolution.


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