Design of a product quality control system based on the use of data mining techniques

Wu, Ruey-Chyi; Chen, Ruey‐Shun; Chian, S.

doi:10.1080/07408170500346402

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Key attributes of the brain's information network include a non-linear, parallel structure, and dense connections between information nodes (1998). NN models have been successfully applied in a variety of business fields, including accounting (Kuldeep and Sukanto, 2006;Landajo et al, 2007;Lenard et al, 1995), management information systems (Huang et al, 2008;Kuflik et al, 2006;Zhu and Premkumar, 2001), marketing (Cui et al, 2006;Kim et al, 2005;Thieme et al, 2000), and production management (Wang et al, 2005;Wu et al, 2006;Kaparthi and Suresh, 1994).…”

Section: Nn Methodologiesmentioning

confidence: 99%

Assessing model efficacy in forecasting EPS of Chinese firms using fundamental accounting variables: a comparative study

Cao

Gan

Schniederjans

2010

IJSSS

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In this paper, we compare the forecasting accuracy of two neural network models in forecasting earnings per share of Chinese listed companies based upon fundamental accounting variables. In one neural network model, weights estimated by back propagation were utilised, and in the other model a genetic algorithm was utilised. Based upon a sample of 723 Chinese companies in 22 industries over a ten year period, we found that the neural network model, using a genetic algorithm in forecasting, outperforms the neural network model with back propagation. Results also showed that the addition of fundamental accounting variables used in the neural network models further improved forecasting accuracy.

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Section: Nn Methodologiesmentioning

confidence: 99%

Assessing model efficacy in forecasting EPS of Chinese firms using fundamental accounting variables: a comparative study

Cao

Gan

Schniederjans

2010

IJSSS

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“…QMS is essentially based on the requirements of ISO 9001 standard where its audits are used to evaluate the level of compliance to the requirements of relevant standards [40] and [41]analysed the difficulties during implementation of QMS according to these international requirements and among the challenges was deformities of products and services. A study by Wu [42] developed an information analysis system to isolate the causes of nonconformity and quickly identify the causes of problems thereby reducing the time taken to solve quality-related problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Relationship between ISO 9001 Certification and the Number of NonConformities Identified during System Audits in Selected Public Universities in Kenya

Chumba¹,

Sang²,

Kibett³

et al. 2019

IJEMR

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The quest for International Standard Organization (ISO) 9001 certification as an international quality tool has been embraced for process improvement and positive perception by customers. With ISO 9001 certification, an institution is anticipated to offer exemplary goods or services that meet client prerequisites, needs and expectations thus enhance organizational performance. As evident in previous studies, despite ISO 9001 certification, cases on wastages, missing student marks and time wastage were indicators of non-conformance. There was no clear evidence of past studies on the relationship between ISO 9001 certification and organizational performance with special interest on number of non-conformities identified during systems audit being a component of organizational performance. The purpose of the study was therefore to establish the relationship between ISO 9001 certification and the number of non-conformities identified during system audits in selected public Universities in Kenya. Explanatory research design was used in the study. The research targeted a population of 433 respondents from which a sample size of 205 respondents was selected using purposive and simple random sampling designs. A questionnaire was used to collect data. To answer the objectives of the study, simple linear regression analysis was performed. From the model, (R 2 = .600) shows that ISO 9001 certification account for 60% variation in number of nonconformities identified during system audits. There was a positive significant relationship between ISO 9001 certification and number of non-conformities identified during system audits (β=0.611 and p <0.05). Therefore, a unit increase in ISO 9001 certification led to reduced number of non-conformities identified during system audits. The ISO 9001 certification had a significant influence on the number of non-conformities identified during system audits. For every adoption of the ISO 9001 certification in public universities the number of nonconformities identified during system audits reduced. The study concludes that ISO 9001 certification had a significant positive influence on the number of non-conformities identified during system audits. Thus, for every adoption of the ISO 9001 certification in public universities the number of non-conformities identified reduced. The study recommends that there is need for management of public universities through the department of quality management to address the non-conformities raised during system audits, need for university management to raise awareness on the importance of standardization and conformity assessment and to entrench the culture of quality in the Kenyan society by promoting practical usage of standards and development of quality related curricula in public universities.

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“…One common approach for data collection by organizations has been the use of a variety of legacy systems with data archived in commercial relational database management systems (RDBMS). The techniques for analyzing data from RDBMS were developed using statistical methods in the 1970s and data mining techniques developed in the 1980s and popularized in the 1990s (Chen et al , 2012; Wu et al , 2006). Using statistical analysis techniques, major IT vendors including Microsoft, IBM, Oracle, and SAP incorporated a wide variety of business management tools into offerings (Sallam et al , 2011), and more contemporary tools such as the statistical software R and visualization tool Tableau.…”

Section: The Historical Context Of Big Data and Decision Makingmentioning

confidence: 99%

Big data analytics: transforming data to action

Bumblauskas

Nold

Bumblauskas³

et al. 2017

BPMJ

100

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Purpose The purpose of this paper is to provide a conceptual model for the transformation of big data sets into actionable knowledge. The model introduces a framework for converting data to actionable knowledge and mitigating potential risk to the organization. A case utilizing a dashboard provides a practical application for analysis of big data. Design/methodology/approach The model can be used both by scholars and practitioners in business process management. This paper builds and extends theories in the discipline, specifically related to taking action using big data analytics with tools such as dashboards. Findings The authors’ model made use of industry experience and network resources to gain valuable insights into effective business process management related to big data analytics. Cases have been provided to highlight the use of dashboards as a visual tool within the conceptual framework. Practical implications The literature review cites articles that have used big data analytics in practice. The transitions required to reach the actionable knowledge state and dashboard visualization tools can all be deployed by practitioners. A specific case example from ESP International is provided to illustrate the applicability of the model. Social implications Information assurance, security, and the risk of large-scale data breaches are a contemporary problem in society today. These topics have been considered and addressed within the model framework. Originality/value The paper presents a unique and novel approach for parsing data into actionable knowledge items, identification of viruses, an application of visual dashboards for identification of problems, and a formal discussion of risk inherent with big data.

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Design of a product quality control system based on the use of data mining techniques

Cited by 6 publications

References 6 publications

Assessing model efficacy in forecasting EPS of Chinese firms using fundamental accounting variables: a comparative study

Assessing model efficacy in forecasting EPS of Chinese firms using fundamental accounting variables: a comparative study

Relationship between ISO 9001 Certification and the Number of NonConformities Identified during System Audits in Selected Public Universities in Kenya

Big data analytics: transforming data to action

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