A Study of Quality Tools and Techniques for Smart Manufacturing in Industry 4.0 in Malaysia

Author(s):  
Mohd Syaiful Rizal Abd Hamid ◽  
Saifuddin Isa ◽  
Chew Boon Cheong

This chapter explores the key factors for selecting quality tools and techniques in industrial revolution 4.0, particularly in the smart manufacturing context. What are the factors determining which quality tools and techniques are more applicable in specific circumstances related to quality performance in Industrial Revolution 4.0? To answer this question, authors employ a multiple case study and an in-depth literature review as the research design approach. Two key data collection methods (qualitative methods) are used: (1) Primary data from face-to-face interviews with Toyo Memory Technology and Intel Malaysia (2) Secondary data from previous studies. This review, coupled with the case study analysis, leads to the identification of the real implementation of quality tools and techniques in the industries. The chapter can enhance the reader understanding of Industrial Revolution 4.0 and quality management practices as well as highlight opportunities for further research.

Author(s):  
Mohd Syaiful Rizal Abd Hamid ◽  
Saifuddin Isa ◽  
Chew Boon Cheong

This chapter explores the key factors for selecting quality tools and techniques in industrial revolution 4.0, particularly in the smart manufacturing context. What are the factors determining which quality tools and techniques are more applicable in specific circumstances related to quality performance in Industrial Revolution 4.0? To answer this question, authors employ a multiple case study and an in-depth literature review as the research design approach. Two key data collection methods (qualitative methods) are used: (1) Primary data from face-to-face interviews with Toyo Memory Technology and Intel Malaysia (2) Secondary data from previous studies. This review, coupled with the case study analysis, leads to the identification of the real implementation of quality tools and techniques in the industries. The chapter can enhance the reader understanding of Industrial Revolution 4.0 and quality management practices as well as highlight opportunities for further research.


2021 ◽  
Vol 56 (5) ◽  
pp. 601-618
Author(s):  
Nur Athirah Binti Mazlan ◽  
Mohd Syaiful Rizal Abd Hamid ◽  
Nor Ratna Masrom

The objective of this research was to develop a quality outcome matrix by exploring a systematic pattern for selecting quality tools and techniques in the Industrial Revolution 4.0, particularly in the smart manufacturing context. By conducting this analysis, the researchers found homogeneous patterns of sufficient quality case studies that can provide a basis for selecting appropriate groups of quality tools and techniques in different scenarios. Multiple case studies and an in-depth literature review were used as the research design approach. Two qualitative data collection methods were used: (1) primary data from face-to-face interviews with employees at Toyo Memory Technology and Intel Malaysia, and (2) secondary data from a previous study. Our study aimed to answer the following research question: “What are the appropriate tools and techniques concerning circumstances of quality dimensions and smart manufacturing?” Thus, our research developed a diagnostic matrix by developing an outcome matrix for selecting appropriate quality tools and techniques. The scientific novelty of this work is that this is a real-world case study describing the authors’ theoretical and practical prerequisites that can help other researchers and industrial practitioners or manufacturers in selecting the appropriate sets of quality tools and techniques for solving quality problems.


Author(s):  
Mohd Syaiful Rizal Abd Hamid ◽  
Nor Ratna Masrom ◽  
Nur Athirah Binti Mazlan

IR 4.0 is a new phase for the current trend of automation and data exchange in manufacturing industry that focuses on cloud computing, interconnectivity, the Internet of Things, machine learning, cyber physical learning and creating smart factory. The purpose of this article was to unveil the key factors of the IR 4.0 in Malaysian smart manufacturing context. Two key data collection methods were used: (1) primary data from the face-to-face interview (2) secondary data from the previous study. Significantly, five key factors of IR 4.0 consider for this study. Autonomous production lines, smart manufacturing practices, data challenge, process flexibility, and security. As a result, IR 4.0 for quality management practices might get high impact for the best performance assessment, which addressed in various ways; there are few studies in this area have been conducted in Malaysian manufacturing sector, and to recommend the best practices implemented from the managers’ perspectives. For scholars, this enhances their understanding and highlight opportunities for further research.


BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037641
Author(s):  
Simone Berger ◽  
Ana Maria Saut ◽  
Fernando Tobal Berssaneti

ObjectivesAlthough different forms of patient feedback are available, their use in hospital management is still limited. The objective of this study is to explore how patient feedback is currently used in hospitals to improve quality.DesignThis is a qualitative exploratory multiple case study. Data collection included nine interviews, of an average duration of 50 min, conducted between March and June 2019. Additionally, a document and secondary data analysis were performed.SettingThis study was conducted in three Brazilian hospitals selected for their solid patient feedback practises.ParticipantsManagers from the customer service, quality, nursing, operations, projects and patient experience departments of the three hospitals.ResultsDespite literature suggesting that organisational objectives regarding patient feedback are not clear, data show that there is managerial concern regarding the promotion of an environment capable of changing according to patient feedback. In these instances, organisational processes were structured to focus on patients’ feedback and its receipt by the staff, including a non-punitive culture. Several patient feedback forms are available: voluntary events, patient surveys and informal feedback. Instruments to measure patient feedback focused on specific aspects of healthcare, to identify and clarify the problems for addressal by the management. The net promoter score was the main strategic indicator of patient feedback, used to assess the impact of improvement action.ConclusionsThe hospitals had established objectives that valued the patient’s perspective. Involvement of the health team, availability of different channels for feedback and the use of quality tools are considered a good basis for using patient feedback to drive quality improvement.


Author(s):  
Nguyen Van Phuong ◽  
Do Quang Giam ◽  
Vu Thi Hai

Aims: The study aims to overview about the marketing activities of banana industry in Vietnam based on the case study in Khoai Chau district, Vietnam. Methodology: Both primary and secondary data were used in this study. Primary data was collected through face-to-face interviews and mobile phone with market participants using semi-structured questionnaire in two year 2016 and 2019. The descriptive analysis method was used to describe channels of distribution, marketing practices of farmers and traders, flow of product from producers to consumers, and problems that banana farmers and traders encounter in their business operations. Results: The results show that banana was sold through 13 channels for both domestic and international markets. At traders’ level market, non-contract was popularly applied by retailers in both selling and buying operations. Majority of banana growers have small operations and engage in small transactions and individually with buyers. They do not have market power in setting the price. They are often faced with unstable price and difficulty in entering high income market. Establishing banana grower association in each commune would enable growers to maintain and monitor the quality of banana especially among small growers. Though collective marketing, they can link with large and stable potential markets such as supermarkets and other institutional buyers.


The Fourth Industrial Revolution (I4.0) envisages fusion of technologies across the physical, digital and biological worlds, and is transforming production, management and governance into a Smart Manufacturing paradigm. It is based on exploitation of current and futuristic technologies such as Internet of Things, 3D Printing (Additive Manufacturing), 5 G connectivity, cyber security, robotics and automation. More than any other industry, defence innovation and manufacturing demand high quality and precision products. This paper brings out the need and current status of India’s defence manufacturing sector (state-controlled Defence Research and Development Organisation(DRDO), Ordnance Factories (OFs), Defence Public Sector Undertakings (DPSUs), and Private Industry including MSMEs) with regard to I4.0, and seeks to establish what needs to be done in adopting features of smart manufacturing, to make it globally competitive. Primary data obtained from a small but knowledgeable sample population, duly analysed with descriptive statistics; followed by secondary data sources, establish the influencing factors. Interpretive Structural Modelling helped formulate a framework for smart manufacturing in India’s defence industry. The paper concludes with recommendations with regard to governmental, and industry stakeholders.


2021 ◽  
Vol 8 (1) ◽  
pp. 59-71
Author(s):  
Adane Mengist ◽  
Tsegahun Nurie ◽  
Mulugeta Nega ◽  
Genanew Jmeberu

Shebel Berenta district is one of the highland areas of Ethiopia highly prone to land degradation and drought by the report of the UN Office for the Coordination of Humanitarian Affairs, (OCHA). Assessment of community participation to combat land degradation was the main objective of this study. Mixed research approach with concurrent triangulation design was followed. The target kebeles and the number of respondents were selected purposively. The sample size was found to be 368, which was determined by the Yemaneh (1967) formula and addressed through geographical listing method. Primary data was collected through Questionnaire, interview and FGD; whereas secondary data was also gained from researches, reports and different documents. The quantitative data was analyzed descriptively, and the qualitative data was analyzed using thematic analysis. The result shows that the trend of community participation is found to be decreasing/passive and dominated by the top down or planner centered approach of community participation as it was supported by 72.4% and 86.3% out of 149 and 219 total respondents from vulnerable and less vulnerable kebeles respectively. Incentives to inspire community participation are low and not adequate and resulted in the lack of willingness of the community. Lack of awareness, expansion of open grazing lands, lack of commitment from the people and government side, lack of consistency of Sustainable Land Management Practices (SLM), geographical barriers and others are the observed challenges of CP in the area.


Author(s):  
Eva Stal ◽  
Vanderlei José Sereia ◽  
Ricardo Cesso da Silva

The article analyzes the internationalization strategies of the four largest Brazilian companies in the meat (beef, pork and poultry) agribusiness sector, by considering the comparative and competitive advantages of the country and the companies. JBS, Marfrig, Sadia and Perdigão were studied, of which the last two merged in May 2009, forming Brasil Foods. The authors looked into what led these companies to start investing  abroad directly, as from 2005, as a complement to their exports, the preferred strategy for placing products in foreign markets. The research method used was the multiple case study, drawing on primary data (interviews, corporate annual reports, financial statements, press releases and shareholder information) and secondary data (theses, dissertations, academic articles, reports in newspapers and business journals), using bibliographic and documentary research. Everything was analyzed in the light of international business and strategy theories. The results show that exports still predominate and that investing directly abroad was, in principle, a reactive strategy to sanitary barriers against Brazilian products. However, the acquisition of companies in restriction-free countries has increased as part of a forward-looking strategy for gaining access to new markets and strengthening brands. Key-words: Agribusiness. Internationalization. Strategy. 


2020 ◽  
Vol 9 (2) ◽  
pp. 275
Author(s):  
Dedi Putra

The implementation of court in Indonesia has not fulfilled as expected because any parties involving in court has a lack of capacity, consistency, and integrity to provide legal service seriously. Some people assume that court services are not still optimal. To settle the problems, the Supreme Court just has officially issued Regulation No. 1 of 2019 regarding the Administration of Cases and Legal Proceedings in Courts via Electronic Means on 8 August 2019. This regulation is believed as an appropriate solution to face those problems. To elaborate more, this study illustrates a judicial reform in Indonesia, e-court, and access to justice, the conception of e-court including the performance of e-court and its drawbacks and challenges in the digital era. The research method uses normative research by approaching legal review and literature study. The technique of primary data collection applies Supreme Court regulation while means of secondary data are collected from concept or theory as set out under bibliography. Judicial reform in Indonesia is indicated by issuing new regulation regarding e-Court and e-Litigation, the implementation e-Court itself has been attributed to 32 courts consisting of general religious, and state administrative courts. Through e-Court, access to justice more transparent and accessible. Besides, justice seekers have no worries regarding distance issues as of e-Court may allow them to fight in court without face to face. Parties have no doubt relating to the acceleration of court to settle any dispute in Indonesia.


Author(s):  
Margaret Kamau ◽  
Isabella Sile

Absrtact This study investigated the influence of business environment efficiency on competitiveness of locally manufactured goods by Autosterile East Africa, Kenya. This study used case study design. This study sampled 69 respondents, including 8 top level employees, 22 middle level employees and 39 lower level employees in Autosterile East Africa. Census sampling was used to select the respondents. Secondary data was obtained from the Autosterile East Africa publications that touches on determinants of competitiveness. Questionnaires used in the survey formed the primary data and was analyzed by use of Statistical Packages for Social Science version 23. Linear regression analysis was done to test the relationship between the independent and dependent variables. The study findings led to the conclusion that business environment efficiency have a positive relationship with competitiveness of locally manufactured goods. The findings revealed that business environment efficiency is significant determinant of competitiveness of locally manufactured goods. It was found out that the demand for goods and services and political stability influences competition of goods and services. The regulations dictate the competition among companies and supply of goods and services controls a firm's competitive advantage. Keywords: Business environment efficiency, competitiveness, Locally manufactured goods, Autosterile East Africa.


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