scholarly journals Research on Supernetwork Equilibrium about Deep Convergence of Enterprise Alliance for Breakthrough Innovation

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yumei Liu ◽  
Xin Wen ◽  
Xiangfei Meng
Keyword(s):  
Numerical Simulation ◽  
High Risk ◽  
Technological Innovation ◽  
Theory And Practice ◽  
Risk And Uncertainty ◽  
Equilibrium Conditions ◽  
Simulation Tools ◽  
Research Production ◽  
Creativity Research ◽  
Breakthrough Innovation

The realization of breakthrough innovation with high risk and uncertainty has always been the focus of the theory and practice of technological innovation. Based on the supernetwork theory, this paper constructs a supernetwork equilibrium model about deep convergence of enterprise alliance for breakthrough innovation and uses numerical simulation tools to find out the equilibrium conditions for deep convergence of enterprise alliance in different stages of breakthrough innovation. It is not only conducive to understand the process of enterprise alliance’s deep convergence in “Creativity-Research-Production-Sales” but also helpful to understand the roles that deep convergence in enterprise alliance can play in achieving breakthrough innovation. It not only expands the existing research on breakthrough innovation but also provides a scientific reference for the deep convergence of enterprise alliance in practice.

scholarly journals Progress in Experimental and Theoretical Evaluation Methods for Textile Permeability

2019 ◽  
Vol 3 (3) ◽  
pp. 73 ◽  
Author(s):  
Mohamad Karaki ◽  
Rafic Younes ◽  
Francois Trochu ◽  
Pascal Lafon
Keyword(s):  
Numerical Simulation ◽  
Analytical Methods ◽  
Measurement Techniques ◽  
Analytical Models ◽  
Theoretical Evaluation ◽  
Unidirectional Fiber ◽  
Simulation Tools ◽  
Performance Preparation ◽  
Personal Performance ◽  
Methods Numerical

A great amount of attention has been given to the evaluation of the permeability tensor and several methods have been implemented for this purpose: experimental methods, as well as numerical and analytical methods. Numerical simulation tools are being seriously developed to cover the evaluation of permeability. However, the results are still far from matching reality. On the other hand, many problems still intervene in the experimental measurement of permeability, since it depends on several parameters including personal performance, preparation of specimens, equipment accuracy, and measurement techniques. Errors encountered in these parameters may explain why inconsistent measurements are obtained which result in unreliable experimental evaluation of permeability. However, good progress was done in the second international Benchmark, wherein a method to measure the in-plane permeability was agreed on by 12 institutes and universities. Critical researchers’ work was done in the field of analytical methods, and thus different empirical and analytical models have emerged, but most of those models need to be improved. Some of which are based on Cozeny-Karman equation. Others depend on numerical simulation or experiment to predict the macroscopic permeability. Also, the modeling of permeability of unidirectional fiber beds have taken the greater load of concern, whereas that of fiber bundle permeability prediction remain limited. This paper presents a review on available methods for evaluating unidirectional fiber bundles and engineering fabric permeability. The progress of each method is shown in order to clear things up.

Enhancing Six Sigma methodology using simulation techniques

2020 ◽  
Vol 11 (1) ◽  
pp. 211-232 ◽  
Author(s):  
Ali Ahmed ◽  
John Page ◽  
John Olsen
Keyword(s):  
Literature Review ◽  
Six Sigma ◽  
Model Building ◽  
Dynamic Balance ◽  
Theory And Practice ◽  
Group Model ◽  
Content Type ◽  
Simulation Tools ◽  
Simulation Techniques ◽  
Six Sigma Methodology

Purpose In recent times, the idea of taking advantage of the benefits of simulation techniques and Six Sigma discipline altogether has led various organizations towards implementation of simulation tools within Six Sigma methodology. The purpose of this study is to provide a more comprehensive literature review on the topic exploring how this amalgamation could work both in theory and practice. This precisely entailed finding dependable studies that shows how Six Sigma (DMAIC) Methodology can be enhanced by the three prevalent simulation techniques; Agent-Based (AB), Discrete-Events (DE), System Dynamics (SD). Design/methodology/approach A systematic literature review was considered more fitting in research because it involves rigorous and well-defined approach compared to other forms of literature review. In this case, the literature was comprehensive, well-encompassing and involved finding Six Sigma and Simulations literatures from reputable scholarly databases. The outcome of these reviews was the identification of a set of key finding compiled and classified by topics. The study follows an inductive approach and utilises a meta-synthesis review technique. Findings As numerous studies assert, simulation techniques including AB, DE and SD are applicable tools in almost every stage of DMAIC, especially the Analyse, Improve and Control phases, because of their capability to test and identify potential bottlenecks and improvement areas. Findings show that the simulation tools such as CLDs, Group Model Building, Dynamic Balance Scorecards and Cost of poor quality all have the potential to add value to a Six Sigma methodology. Originality/value The findings of this study highlight the importance of further inquiry in this area of study. The finding of this study suggests that although the study on the integration of Six Sigma and simulations is increasing, empirical evidence on its effectiveness is still limited. Therefore, this study suggests more roadmaps and investigations aimed at merging Six Sigma methodology and various simulation technique. Moreover, studies that centre on hybrid or multi-method simulations within Six Sigma are also urgently necessitated.

scholarly journals Refining the influence of family involvement in management on firm performance: The mediating role of technological innovation efficiency

2020 ◽  
pp. 234094442095733
Author(s):  
Rubén Martínez-Alonso ◽  
María J. Martínez-Romero ◽  
Alfonso A. Rojo-Ramírez
Keyword(s):  
Firm Performance ◽  
Technological Innovation ◽  
Family Involvement ◽  
Family Firms ◽  
Performance Outcomes ◽  
Jel Classification ◽  
Theory And Practice ◽  
Mediating Role ◽  
Research Fields ◽  
Family Involvement In Management

Determining what factors influence firm performance constitutes an essential issue in both the management and the family firm research fields. This article, building on the resource-based view perspective, develops a mediation model that involves a unique intervening mechanism, namely, technological innovation efficiency (TI efficiency), with the potential to explain the inconsistencies found in prior work on the ways through which family involvement in management affects performance outcomes. Regression analyses utilizing a longitudinal sample of 1,118 Spanish private firms largely support the hypothesized mediating relationship, revealing that TI efficiency leads to richer firm performance in family firms with active family involvement in management. Overall, our findings help elucidate the black box of performance outcomes within family firms and make several contributions to theory and practice. JEL CLASSIFICATION L25; M12; O32

scholarly journals Modelling of textile composite reinforcements on the micro-scale

2014 ◽  
Vol 14 (1) ◽  
pp. 28-33 ◽  
Author(s):  
Oliver Döbrich ◽  
Thomas Gereke ◽  
Chokri Cherif
Keyword(s):  
Numerical Simulation ◽  
Finite Element Analysis ◽  
Computational Cost ◽  
Textile Composite ◽  
Element Analysis ◽  
Simulation Tools ◽  
Micro Scale ◽  
Generating Method ◽  
Geometrical Effects ◽  
Composite Reinforcements

Abstract Numerical simulation tools are increasingly used for developing novel composites and composite reinforcements. The aim of this paper is the application of digital elements for the simulation of the mechanical behaviour of textile reinforcement structures by means of a finite element analysis. The beneficial computational cost of these elements makes them applicable for the use in large models with a solution on near micro-scale. The representation of multifilament yarn models by a large number of element-chains is highly suitable for the analysis of structural and geometrical effects. In this paper, a unit cell generating method for technical reinforcement textiles, using digital elements for the discretization, is introduced.

Advances in Plastic Anisotropy and Forming Limits in Sheet Metal Forming

2016 ◽  
Vol 138 (9) ◽  
Author(s):  
Dorel Banabic
Keyword(s):  
Numerical Simulation ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Constitutive Modeling ◽  
Metal Forming ◽  
Plastic Anisotropy ◽  
Forming Limit ◽  
Simulation Tools ◽  
The One ◽  
Forming Limit Curves

In the last decades, numerical simulation has gradually extended its applicability in the field of sheet metal forming. Constitutive modeling and formability are two domains closely related to the development of numerical simulation tools. This paper is focused, on the one hand, on the presentation of new phenomenological yield criteria developed in the last decade, which are able to describe the anisotropic response of sheet metals, and, on the other hand, on new models and experiments to predict/determine the forming limit curves.

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