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Article
Publication date: 27 June 2019

Yinhua Liu, Shiming Zhang and Guoping Chu

This paper aims to present a combination modeling method using multi-source information in the process to improve the accuracy of the dimension propagation relationship…

Abstract

Purpose

This paper aims to present a combination modeling method using multi-source information in the process to improve the accuracy of the dimension propagation relationship for assembly variation reduction.

Design/methodology/approach

Based on a variable weight combination prediction method, the combination model that takes the mechanism model and data-driven model based on inspection data into consideration is established. Furthermore, the combination model is applied to qualification rate prediction for process alarming based on the Monte Carlo simulation and also used in engineering tolerance confirmation in mass production stage.

Findings

The combination model of variable weights considers both the static theoretical mechanic variation propagation model and the dynamic variation relationships from the regression model based on data collections, and provides more accurate assembly deviation predictions for process alarming.

Originality/value

A combination modeling method could be used to provide more accurate variation predictions and new engineering tolerance design procedures for the assembly process.

Details

Assembly Automation, vol. 39 no. 4
Type: Research Article
ISSN: 0144-5154

Keywords

Open Access
Article
Publication date: 1 February 2022

Ratri Wahyuningtyas, Ganjar Disastra and Risris Rismayani

Economic Society 5.0 is the answer to the challenges of the Industrial Revolution 4.0 through the creation of new value from the development of advanced technology that…

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Abstract

Purpose

Economic Society 5.0 is the answer to the challenges of the Industrial Revolution 4.0 through the creation of new value from the development of advanced technology that aims to reduce the gap between human and economic problems. Excellent human resources and adequate digital infrastructure are requirements in an Economic Society 5.0. Cooperatives as community economic organizations are players in the Industrial Revolution 4.0. Because of low competitiveness, cooperatives cannot create new and sustainable income streams, particularly digitalization capabilities. This study aims to encourage the competitiveness of cooperatives in the West Java region, Indonesia, in an Economic Society 5.0 by identifying the correlation between digital capabilities, digital orientation, employee resistance, government support, digital innovation and competitiveness.

Design/methodology/approach

This study uses a quantitative method through surveys as data collection techniques by distributing questionnaires to 386 leaders of cooperatives in West Java. Hypothesis testing uses analysis technique of structural equation modeling with partial least squares tool.

Findings

There are five hypotheses that are supported in the proposed model in this study. Digital orientation and government support have a positif and significant effect on digital innovation, in contrary; digital capability and employee resistance do not show any effect. Digital orientation, government support and digital capability also have a positive and significant effect on competitiveness. Meanwhile, employee resistance and digital innovation have no significant effect on competitiveness. Digital innovation was also found not to mediate the relationship between digital orientation, government support, digital capability and employee resistance with competitiveness.

Originality/value

This study provides new insights into the study of cooperatives as community’s economic institutions. This study adds empirical evidence of the factors that influence the competitiveness of cooperative institutions in Indonesia as a driver of the community’s economy. This study also provides practical implications for the development of cooperative competitiveness in developing countries, particularly in Indonesia.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6204

Keywords

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