scholarly journals Lean Smart Manufacturing in Taiwan—Focusing on the Bicycle Industry

Author(s):  
Li

Industry 4.0, started in Germany in 2011, was fervently promoted by various advanced countries and followed by the introduction of “smart manufacturing”. As an innovative strategy of the manufacturing industry “smart manufacturing” has attracted considerable attention in the field of academics and practice. However, the issues of huge investment and differentiation of individual enterprises have created a big gap between policy promotion and production at the site of actual industrial manufacturing and resulted in limited progress in smart manufacturing. In view of the situation, the authors have previously developed in relation to the practice of individual companies in the industry a practical structure of “Lean Smart Manufacturing: a conceptual framework and solution based co-creative platform” combining Lean Production with smart manufacturing to achieve customer value. In addition to filling the gap between government policy and industry in Industry 4.0, the practical structure suggests the possibility of balancing differentiation and open innovation. Taiwan’s bicycle industry is one of Taiwan's most internationally competitive industries. GIANT, the leading manufacturer of bicycles in Taiwan, has been actively promoting TPS since 2000. With the development of Industry 4.0, GIANT has been working on the application of Industry 4.0 related technologies in order to further enhance customer value. In the application of the practical structure of “Lean Smart Manufacturing”, there are few cases of corporate practice. This study focuses on the A-Team which is constructed by the bicycle industry in Taiwan and GIANT for empirical research, to see how GIANT implement the “Lean Smart Manufacturing” and construct the co-creative platform, to balance differentiation and open innovation, then strengthen its competitiveness. The research results show that although this case is still in the development stage, it has the basic form of “Lean Smart Manufacturing: a conceptual framework and solution based co-creative platform”. This case, as we advocate the use of differentiated advantages of “Lean Smart Manufacturing”, pragmatically from the establishment of the smart factory platform on the physical system, gradually extended to the strategic co-creative platform of the cyber system.

Author(s):  
Eleni Didaskalou ◽  
Petros Manesiotis ◽  
Dimitrios Georgakellos

Engineering concepts usually, are complex concepts, thus many times are difficult for infusing into curriculums or to be comprehensive for practitioners. A concept that still now is not fully understandable is that of Industry 4.0, an approach that increases the complexity of production systems. Nowadays production systems are facing new challenges, as physical productions systems and internet technologies are directly linked, hence increasing the complexity but also the productivity of the systems. The paper introduces an approach of visualizing the concept of smart manufacturing in the context of Industry 4.0, as the term is not clearly specified, although has attracted attention both academicians and businesses. Concept mapping is a method of capturing and visualizing complex ideas. Concept maps are graphical tools for organizing, representing and communicating complex ideas by breaking them into more key concepts. As Industry 4.0 is a factor that can boost innovation and competitiveness of business, all parties involved in shaping the strategy of an organization, should perceive the issues to be covered. Furthermore, learners must be prepared to meet these challenges and knowledgebuilding activities may enhance their process of learning. The paper makes an interesting and valuable contribution, by identifying key concepts within the subject of smart manufacturing and Industry 4.0, using the method of concept mapping. Taking into consideration these concepts a conceptual framework will be introduced, by using the software tool CmapTools. The map can be used as a basis for future research in constructing a more comprehensive framework and identifying the concepts that describe smart manufacturing in the context of Industry 4.0, in a more thorough manner.


2021 ◽  
Author(s):  
Chinedu Onyeme ◽  
Kapila Liyanage

The shift towards Industry 4.0 is a fundamental driver of improved changes observed in today’s business organizations. The difficulties in adapting to this new approach pose challenges for many companies especially in the oil and gas (O&G) upstream sector. To make this path much feasible for companies in this industry, Maturity Models (MMs) are very useful tools in achieving this following their use in evaluation of the initial state of a company for planned development journey towards Industry 4.0 (I4.0) readiness and implementation. Study shows that only a limited number of O&G specific roadmaps, MMs, frameworks and readiness assessments are available today. This paper aims to review the currently available Industry 4.0 MMs for manufacturing industries and analyze their applicability in the O&G upstream sector using the systematic literature review (SLR) methodology, recognizing the specific requirements of this industry. The study looks at the key characteristic for O&G sector in relation to the manufacturing sector and identifies research gaps needed to be addressed to successfully support the O&G sector in readiness for Industry 4.0 implementation. An Industry 4.0 maturity model that reflects the industrial realities for the O&G upstream sector more accurately from insights drawn from the reviews of existing MMs is proposed. This reduces the challenges of the transition process towards Industry 4.0 and provides support for the critical change desired for improved efficiency in the sector.


2021 ◽  
Vol 27 (1) ◽  
pp. 50-57
Author(s):  
Sirorat Pattanapairoj ◽  
Krisanarach Nitisiri ◽  
Kanchana Sethanan

Abstract Industry 4.0 is an era in which the manufacturing industry has adopted digital technologies and the Internet to enable smart manufacturing system, machines used in the production now can communicate with each other and exchange information between each other, and the machinery used in the manufacturing process is more modern and precise. Therefore, educational institutions should develop the curriculum to produce qualified graduates with the knowledge required for the Industry 4.0 era, especially Industrial Engineering graduates who are directly related to the industry sector. The purpose of this research is to collect the data for the Master of Industrial Engineering (MSIE) curriculum development. The Analytic Hierarchy Process (AHP) technique is used to rank the indicators of knowledge that is important to the employment of graduates with a master’s degree in Industrial Engineering, and study the gap between the expectations of employers and the ability of the current MSIE students of Khon Kaen University. The results of the study reveal that the first indicators that are most important to the employment of MSIE graduates is the knowledge of Industry 4.0 strategy and the knowledge that the students should have developed are the collaboration of humans and robots, big data analytics, real time data usage and databased decision making.


2021 ◽  
pp. 7-15
Author(s):  
О.В. Дударева ◽  
Д.Н. Дударев ◽  
Д.В. Аракчеев

Введение. Цифровизация экономики и, в частности, переход к умному производству или Индустрии 4.0, являются актуальным мировым трендом. Цифровизация экономики признана приоритетным направлением и в Российской Федерации. Трансформация производственной отрасли называется революцией именно потому, что изменения происходят не поверхностные, а радикальные: индустрия перестраивается сверху донизу. Путь этих преобразований привел к следующему технологическому рубежу, к формированию концепции Индустрии 4.0, которую также называют концепцией «Умного производства» (Smart Manufacturing). Данные и методы. Основные методы исследования — теоретические и практические методы, с помощью которых проводилось исследование: методы системного анализа, экономико-математические методы анализа информации, методы экспертных оценок, моделирования и прогнозирования. В статье использовались результаты исследований клуба лидеров цифрового производства, клуба производственников Сколково, компаний Solver, AUTODESK, Государственной корпорации Ростех и ряда других. Полученные результаты. В статье освещены концептуальные аспекты (теоретические и практические) перехода к умному производству в условиях цифровизации с целями повышения конкурентоспособности российских компаний через использование новых производственных технологий; формирования основы для разработки стратегии развития и повышения эффективности компаний; согласования с глобальными трендами Индустрии 4.0, действующими российскими стандартами и особенностями бизнеса; изменения культуры внедрения и работы с инновациями. Заключение. Представленные разработки позволяют сформировать ряд умозаключений по вопросам концепции и технологий умного производства, походов к цифровой трансформации бизнес-процессов, стратегий цифровизации и новых бизнес-моделей. Introduction. Digitalization of the economy and, in particular, the transition to smart manufacturing or Industry 4.0, is a current global trend. Digitalization of the economy is also recognized as a priority in the Russian Federation. The transformation of the manufacturing industry is called a revolution precisely because the changes are not superficial, but radical: the industry is being rebuilt from top to bottom. The path of these transformations led to the next technological milestone, the formation of the concept of Industry 4.0, which is also called the concept of "Smart manufacturing". Data and methods. The main research methods are theoretical and practical methods used to conduct the research: methods of system analysis, economic and mathematical methods of information analysis, methods of expert assessments, modeling and forecasting. The article uses the research results of the digital production leaders club, SKOLKOVO production workers club, Solver, AUTODESK, rostec State Corporation, and a number of others. Obtained result. The article deals with conceptual aspects (theoretical and practical) of the transition to smart production under conditions of digitalization with the objectives of improving the competitiveness of Russian companies through the use of new production technologies; forming the basis for strategy development and efficiency improvement; align with global trends of Industry 4.0, the existing Russian standards and business; culture change implementation and work with innovation. Conclusion. The presented developments allow us to form a number of conclusions on the concept and technologies of smart production, approaches to digital transformation of business processes, digitalization strategies and new business models.


Author(s):  
Rebecca Castagnoli ◽  
Giacomo Büchi ◽  
Monica Cugno

The chapter analyses the literature on Industry 4.0 to understand the effect that Industry 4.0 has on customer co-creation process. The chapter is conceptual and is based on a literature analysis—conducted through ISI-Thompson Web of Science—that answers two research question: (RQ1) if and (RQ2) how the Industry 4.0 changes the customer value co-creation process. The results are summarized into a conceptual framework that shows how Industry 4.0 transforms the creation of value for customers, of customers, and with customers. The implications encourage managers and policymakers to implement a wider range of enabling technologies along the various phases of the supply chain and to adopt a new way to manage the company itself and the relations with customers involving them in the co-creation of products.


2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Tao Peng ◽  
Qiqi He ◽  
Zheng Zhang ◽  
Baicun Wang ◽  
Xun Xu

AbstractCOVID-19 pandemic has accelerated the re-shaping of globalized manufacturing industry. Achieving a high level of resilience is thereby a recognized, essential ability of future manufacturing systems with the advances in smart manufacturing and Industry 4.0. In this work, a conceptual framework for resilient manufacturing strategy enabled by Industrial Internet is proposed. It is elaborated as a four-phase, closed-loop process that centered on proactive industry assessment. Key enabling technologies for the proposed framework are outlined in data acquisition and management, big data analysis, intelligent services, and others. Industrial Internet-enabled implementations in China in response to COVID-19 have then been reviewed and discussed from 3Rs’ perspective, i.e. manufacturer capacity Recovery, supply chain Resilience and emergency Response. It is suggested that an industry-specific and comprehensive selection coordinated with the guiding policy and supporting regulations should be performed at the national, at least regional level.


2021 ◽  
Vol 11 (8) ◽  
pp. 3568
Author(s):  
Amr T. Sufian ◽  
Badr M. Abdullah ◽  
Muhammad Ateeq ◽  
Roderick Wah ◽  
David Clements

The fourth industrial revolution is the transformation of industrial manufacturing into smart manufacturing. The advancement of digital technologies that make the trend Industry 4.0 are considered as the transforming force that will enable this transformation. However, Industry 4.0 digital technologies need to be connected, integrated and used effectively to create value and to provide insightful information for data driven manufacturing. Smart manufacturing is a journey and requires a roadmap to guide manufacturing organizations for its adoption. The objective of this paper is to review different methodologies and strategies for smart manufacturing implementation to propose a simple and a holistic roadmap that will support the transition into smart factories and achieve resilience, flexibility and sustainability. A comprehensive review of academic and industrial literature was preformed based on multiple stage approach and chosen criteria to establish existing knowledge in the field and to evaluate latest trends and ideas of Industry 4.0 and smart manufacturing technologies, techniques and applications in the manufacturing industry. These criteria are sub-grouped to fit within various stages of the proposed roadmap and attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. This paper presents a conceptual approach based on six stages. In each stage, key enabling technologies and strategies are introduced, the common challenges, implementation tips and case studies of industrial applications are discussed to potentially assist in a successful adoption. The significance of the proposed roadmap serve as a strategic practical tool for rapid adoption of Industry 4.0 technologies for smart manufacturing and to bridge the gap between the advanced technologies and their application in manufacturing industry, especially for SMEs.


2018 ◽  
Vol 13 (2) ◽  
pp. 137-150 ◽  
Author(s):  
Pai Zheng ◽  
Honghui wang ◽  
Zhiqian Sang ◽  
Ray Y. Zhong ◽  
Yongkui Liu ◽  
...  

Author(s):  
Rebecca Castagnoli ◽  
Giacomo Büchi ◽  
Monica Cugno

The chapter analyses the literature on Industry 4.0 to understand the effect that Industry 4.0 has on customer co-creation process. The chapter is conceptual and is based on a literature analysis—conducted through ISI-Thompson Web of Science—that answers two research question: (RQ1) if and (RQ2) how the Industry 4.0 changes the customer value co-creation process. The results are summarized into a conceptual framework that shows how Industry 4.0 transforms the creation of value for customers, of customers, and with customers. The implications encourage managers and policymakers to implement a wider range of enabling technologies along the various phases of the supply chain and to adopt a new way to manage the company itself and the relations with customers involving them in the co-creation of products.


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