• Journal of Korean Society for Quality Management
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• v.44 no.1
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• pp.77-94
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• 2016

Purpose: This paper reviews Type 1 Gage study, Gage R&R study, and procedure of ISO 22514-7 for assessing a measurement system, and discusses some relationships between the measurement capability indices. Methods: The gage capability index $C_g$ of Type 1 Gage study, precision-to-tolerance ratio PTR of Gage R&R study, and measurement performance ratio $Q_{MS}$ and $Q_{MP}$ of ISO 22514-7 are considered in this paper. Results: This paper derives the relationships between $C_g$ and $Q_{MS}$, PTR and $Q_{MP}$, and $Q_{MS}$ and $Q_{MP}$, respectively, and discusses the acceptance conditions for each procedures. Conclusion: The measurement capability analysis is the first step for the quality improvement of the manufacturing processes. Therefore the result of this study provides a helpful guidelines for assessing the measurement system, enabling proper evaluation of manufacturing processes.

• Industry Promotion Research
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• v.9 no.2
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• pp.207-221
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• 2024

Automotive manufacturing is a traditional manufacturing industry that consumes a lot of energy and emits a lot of pollutants, and needs to improve environmental performance through digital transformation of supply chains.In this study, 13 hypotheses were put forward based on supply chain digital transformation, supply chain dynamic capability and enterprise environmental performance. The results of the questionnaire survey on the managers and employees of automobile manufacturing enterprises in 7 regions of China show that the digital transformation of supply chain can help improve the environmental performance of automobile manufacturing enterprises under the influence of supply chain dynamic capability

• The Journal of Information Systems
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• v.28 no.2
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• pp.1-23
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• 2019

Purpose This study exploratory investigated the effects of the fit between forms of knowledge management(KM) strategy and types of information technology(IT) capability on the kinds of innovations such as product and process innovations. In this study, the openness of innovations that affects the innovations of a firm is considered. Design/methodology/approach For this empirical study, 104 manufacturing firms' data were finally collected through field survey. For the analysis of the data, cluster analysis and multiple regression analysis were employed. Findings This study demonstrated that when a system-oriented KM strategy is adopted, IT flexibility, which supports the implementation of a system-oriented strategy, is highly employed and utilized. It was also found that under a dynamic KM strategy, both IT integration and IT flexibility are highly employed. For the innovation of a firm, it was found that when a system-oriented strategy is employed and the flexibility of IT is highly adopted, the levels of product innovation are enhanced. Under a dynamic strategy, when the degrees of IT integration and IT flexibility are high, high levels of product and process innovations were empirically found. The impact of innovation openness on the innovations of a firm were partially demonstrated. Finally, the positive impact of the innovations on the improvement of performance in manufacturing firms were demonstrated.

• Advances in Computational Design
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• v.4 no.1
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• pp.43-52
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• 2019

Variation Analysis (VA) is used to simulate final product variation, taking into consideration part manufacturing and assembly variations. In VA, all the manufacturing and assembly processes are defined at the product design stage. Process Capability Data Bases (PCDB) provide information about measured variation from previous products and processes and allow the designer to apply this to the new product. A new challenge to this traditional approach is posed by the Industry 4.0 (I4.0) revolution, where Smart Manufacturing (SM) is applied. The manufacturing intelligence and adaptability characteristics of SM make present PCDBs obsolete. Current tolerance analysis methods, which are made for discrete assembly products, are also challenged. This paper discusses the differences expected in future factories relevant to VA, and the approaches required to meet this challenge. Current processes are mapped using I4.0 philosophy and gaps are analysed for potential approaches for tolerance analysis tools. Matching points of simulation capability and I4.0 intents are identified as opportunities. Applying conditional variations, incorporating levels of adjustability, and the un-suitability of present Monte Carlo simulation due to changed mass production characteristics, are considered as major challenges. Opportunities including predicting residual stresses in the final product and linking them to product deterioration, calculating non-dimensional performances and extending simulations for process manufactured products, such as drugs, food products etc. are additional winning aspects for next generation VA tools.

• Journal of Distribution Science
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• v.20 no.5
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• pp.1-11
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• 2022

Purpose: This study attemptsto investigate the moderating effects of environmental turbulence (ET) between learning orientation (LO) and SMEs' performance. Research design, data, and Methodology: To gain insights and provide implications for manufacturing SMEs in Pakistan, this study adopted simple random sampling to collect 379 valid responses. Data were collected through a self-administrative questionnaire from manufacturing SMEs owners/managers. Partial least squares of structural equation modeling have been used to test research hypotheses by using SmartPLS® 3.0 software. Results: The study's primary finding is that LO has a significantly positive effect on SMEs' performance and this relationship is strengthened under the moderating influence of environmental turbulence (ET). Conclusion: Environmental turbulence (ET) enables SMEs to focus on learning capability to get a more competitive advantage. Moreover, SMEs owner/managers ought to emphasize continuous learning that accentuates the capability to compete with environmental changes. Findings support notifying Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with Manufacturing SMEs in terms of improving their internal capabilities. This research contributes to the literature as it provides a more detailed and in-depth explanation of distribution management-related issues faced by SMEs. This research carries a significant influence on literature and relevant Resource-based view and contingency theories.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.2
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• pp.1-10
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• 2002

Process capability indices are widely used in industries and quality assurance system. In past years, process capability analysis have been used to characterize process performance on the basis of univariate quality characteristics. However, in actual manufacturing industrial, statistical process control (SPC) often entails characterizing or assessing processes or products based on more than one engineering specification or quality characteristic. Therefore, the analysis have to be required a multivariate statistical technique. This paper introduces to multivariate capability indices and then selects a multivariate process capability index incorporated both the process variation and the process deviation from target among these indices under the multivariate normal distribution. We propose a new multivariate capability index $MC_{pm}^+$ using quality loss function instead of the process variation and this index is compared with the proposed indices when quality characteristics are independent and dependent of each other.

• Journal of Distribution Science
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• v.20 no.2
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• pp.31-41
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• 2022

Purpose: Developing and nurturing supply chain dynamic capability is one of the leading solutions to create competitive advantages, maintain growth and sustainable development for businesses. The study was conducted to experimentally confirm the impact of supply chain dynamic capability on competitiveness and business efficiency for Vietnamese wood enterprises. Research design, data and methodology: The study surveyed 236 managers of Vietnamese wood manufacturing and distribution enterprises. The authors applied the structural equation modeling (SEM) to analyze the relationship between the dynamic capability of the supply chain and the competitiveness, business efficiency of enterprises to achieve those goals. Results: The results show that businesses owning supply chain dynamic capability will have better competitiveness and business efficiency. Especially, in the context of Vietnamese wood sector, the larger the scale of business, the more profound the impact of supply chain dynamic capability on competitiveness and business efficiency. Conclusions: Focusing on developing supply chain dynamics would be a promising solution to improve the competitiveness of Vietnam's wood enterprises in the global market.

• Management Science and Financial Engineering
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• v.5 no.2
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• pp.1-23
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• 1999

We investigate a supply chain arrangement where a manufacturing company outsources it sassmbly operations to two contract manufacturers. Each contract manufacturer is different in improvement capability : e.g., one is more capable than the other. This improvement capability is supposed to in-duce supply cost reduction that ultimately benefits the manufacturing company. Over time, the manufacturer has to decide how much it should outsource to each contract manufacturer and how much processde/assembled the semi-finished units should be when they re shipped back to the manufacturing company from the contract manufacturers. We employ the optimal control theory to answer the questions, and suggest numerical examples focused on the relationship among the optimal outsourcing amounts, contract manufacturer's improvement capabilities, and their capacity con-straints.

• 한국정보디스플레이학회:학술대회논문집
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• 2006.08a
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• pp.1455-1461
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• 2006

As OLED manufacturing matures, it requires larger substrate processing. The larger substrates require higher dispensing throughput for UV sealants. Jetting the gaskets of seal materials has provided an increase in performance and dispensing capability. This paper describes the jetting process and deposition capability for applying the UV sealants.

• Journal of Korea Technology Innovation Society
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• v.12 no.4
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• pp.740-767
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• 2009

This paper examined the effect of organizational capability on performance in Korean and the United States manufacturing R&D organizations. We used self-reported data from 122 Korean and 79 U.S. firms to address three research questions. Structural equation modeling techniques validated the adapted instrument used in the study, and revealed that R&D organizational capability accounts for R&D performance. The degree of explanation power for the performance was significantly higher in Korean than the U.S. R&D organizations. Several implications of the findings were discussed.