scholarly journals Industry 4.0 in a dualistic manufacturing sector – qualitative experiences from enterprises and their environment, Eastern Hungary

2020 ◽  
Vol 69 (2) ◽  
pp. 157-174
Author(s):  
Csongor Nagy ◽  
Ernő Molnár ◽  
Éva Kiss
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Manufacturing Sector ◽  
Competitive Advantages ◽  
Manufacturing Companies ◽  
Corporate Structure ◽  
East Central Europe ◽  
Global Industry ◽  
Domestic Companies

Industry 4.0 developing on the basis of digitalisation is gradually transforming production, the conditions of competition and relationships in global industry, affecting its interpretation and expanding its limits. This paper attempts to explore changing economic geographical context with the revaluation of comparative and competitive advantages in a semi-peripheral area of the EU. Based on company interviews, the effects of the new technologies of Industry 4.0 on the dual Hungarian manufacturing industry and its spatial structure are studied, and that whether they contribute to the reduction of duality and geographical polarization. In Eastern Hungary – just like in most areas in East-Central Europe – internationally competitive manufacturing companies emerged almost exclusively as a result of foreign direct investment, while domestic companies are forced into secondary or dependent roles. The empirical research has revealed significant differences in the progress of companies in Industry 4.0. Hungarian-owned companies evolve in a specific way from several aspects and face many difficulties. In contrast, enterprises with foreign interest continue to be the engine of development, driven from the “outside”. Duality is also reflected in the corporate structure, in space and in the realisation of Industry 4.0.

Key Enablers Assessment to Implement Industry 4.0 Technologies in the Future for the Turkish Manufacturing Sector

2021 ◽  
pp. 243-265
Author(s):  
Ahmet Çalık
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Adoption And Implementation ◽  
Machinery Manufacturing ◽  
Hierarchy Process ◽  
Production And Operation

Industry 4.0 (I4.0), which reshapes traditional production and operation methods and causes companies to be under digital transformation, is currently an evolving research topic. Although advanced technologies can be easily adopted by large companies. In particular, there are still challenges in the adoption and implementation of I4.0 technologies in small and medium-sized enterprises (SMEs). This study examines the readiness of companies in the machinery manufacturing industry to implement I4.0 technologies in the context of SMEs. To achieve this goal, a multi-criteria decision-making (MCDM) approach including the pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) and fuzzy VIKOR (FVIKOR) is proposed. First, existing readiness models linked to the implementation of I4.0 technologies have been studied to specify key enablers. Then, the PFAHP method is used to obtain weights of enablers on I4.0 technologies. Finally, FVIKOR is applied to obtain ranking for five companies. A case study is conducted to measure the level of readiness of five manufacturing companies in Konya.

scholarly journals Maturity Level of Kosovo Manufacturing Industry with regard to Industry 4.0

2018 ◽  
Vol 6 (3) ◽  
pp. 1-8
Author(s):  
Fatmir Azemi ◽  
Edmond Hajrizi ◽  
Bekim Maloku
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Chief Executive ◽  
Business Environment ◽  
Average Score ◽  
Furniture Industry ◽  
Manufacturing Companies ◽  
Maturity Level ◽  
Unskilled Workers

In this paper the concept of Maturity Level of Kosovo Industry will be presented according to the Industry 4.0. Digitalization of factory has impact the entire business environment and lead to Smart Enterprises. To create a model of Smart Factory, first we have analyzed the existing situation of Kosovo Manufacturing Industry with regard to revolution of Industry. In this paper we will describe the results of a recent research at the Kosovo manufacturing companies and are included metalworking and furniture industry, where is developed a Maturity Level for Kosovo Industry. To describe the Maturity Level of Kosovo Industry we have delivered questionnaire and have been done interviews with CEOs (Chief Executive Officer). The average score of Industrial Maturity Level for Kosovo Industry is 2.14 which represent 2nd Industrial Revolution, but some of enterprises belong to 3rd Industrial Revolution. Also, the main barriers of this low level of Maturity Level of Kosovo Industry are highlights based on questionnaire and interviews with CEOs, such as: lack of training programs, language barriers, high cost of purchasing/maintenance of technology, unskilled workers, and est.

scholarly journals Prediksi Harga Saham Dalam Berinvestasi Pada Perusahaan Manufaktur

2021 ◽  
Vol 9 (2) ◽  
pp. 101-114
Author(s):  
Fauziyah Fauziyah
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Prediction Method ◽  
Manufacturing Companies ◽  
Upward Trend ◽  
Stock Trading ◽  
The Past

Abstract Indonesia Stock Exchange (IDX) is a term that is well known in the world of stocks in Indonesia. One of the company sectors listed on the IDX is manufacturing. The contribution of the manufacturing sector to Gross Domestic Product (GDP) was recorded to be the largest compared to other sectors. In this research, the manufacturing companies that will be used as the object of research to predict their stock prices are manufacturing companies listed in LQ45. In stock trading, prices fluctuate up or down. Stock conditions that fluctuate every day make investors who are going to invest in the Manufacturing industry must observe and study the past company data before investing. This data is important for investors to find out what might happen to a company's stock price. Thus, predicting stock prices in the manufacturing industry for the future is needed as a stage in deciding which manufacturing companies are good to investing in. The prediction method in this research uses ARIMA. The results obtained are the stock prices of companies GGRM, HMSP, ICBP, INDF, INTP and UNVR following a downward trend, so that the actions taken by investor in these companies are selling stocks, while for the stock prices of companies ASII, CPIN, INKP, JPFA, SMGR, TKIM, following an upward trend, so that the actions taken by investors in these companies are buying stocks.Keywords: Prediction, ARIMA, Investment  BEI merupakan istilah yang terkenal pada dunia saham di Indonesia. Sektor perusahaan yang terdapat di BEI salah satunya adalah manufaktur. Kontribusi sektor manufaktur dalam Produk Domestik Bruto (PDB) tercatat yang paling besar dibandingkan sektor lainnya. Di dalam penelitian ini, perusahaan manufaktur yang akan dijadikan objek penelitian untuk diramalkan harga sahamnya yaitu perusahaan manufaktur yang terdaftar di LQ45.  Pada perdagangan saham, harga mengalami fluktuasi naik maupun turun.  Keadaan saham yang fluktuasi setiap hari menjadikan investor yang akan berinvestasi di industri Manufaktur harus mengamati dan mempelajari data perusahaan dimasa lalu sebelum melakukan investasi. Data tersebut penting bagi investor untuk mengetahui kemungkinan yang terjadi pada harga saham suatu perusahaan. sehingga, meramal harga saham pada industri manufaktur untuk masa yang akan datang sangat dibutuhkan sebagai tahapan dalam memutuskan perusahaan Manufaktur yang baik dalam melakukan investasi. Metode Prediksi dalam penelitian ini menggunakan ARIMA. Hasil yang didapat yaitu harga saham perusahaan GGRM, HMSP, ICBP, INDF, INTP dan UNVR mengikuti tren turun, sehingga langkah yang diambil untuk investor pada perusahaan tersebut adalah menjualnya sedangkan untuk harga saham perusahaan ASII, CPIN, INKP, JPFA, SMGR, TKIM, mengikuti tren naik, sehingga langkah yang diambil untuk investor pada perusahaan tersebut adalah membeli saham.Kata Kunci: Prediksi, ARIMA, Investasi

The skill needs of the manufacturing industry: can higher education keep up?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oran Doherty ◽  
Simon Stephens
Keyword(s):  
Higher Education ◽  
Best Practice ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Rapid Development ◽  
Time Frame ◽  
Manufacturing Companies ◽  
Senior Managers ◽  
Experiential Training ◽  
Content Type

PurposeThis paper explores the implications for higher education of the rapid development in technology used by the manufacturing sector. Higher education programmes change or new courses are introduced in attempts to match labour market demands. However, the pace of change in the manufacturing industry challenges the authors to reconceive how programmes and modules can and should be designed and delivered.Design/methodology/approachThis study is based on interviews with 26 senior management representatives from manufacturing companies in Ireland. The 26 senior managers and their companies represent the wide diversity of Ireland's manufacturing sector. All the interviews were face to face, complimented by a short questionnaire. Follow-up interviews focussed on the emergent findings were carried out to aid the writing of recommendations for the best practice in programme design and delivery.FindingsWhat emerges from this study is that the manufacturing industry needs skills at three distinct levels. The authors define and classify the skill requirements at entry, competent and expert level. The authors place an emphasis on upskilling as an aid to movement between the three levels. In addition, and significantly, the desired time frame for delivery of these skills and/or upskilling is very short.Originality/valueAccelerated reskilling programmes with faster, shorter bursts of work-based learning (WBL) and experiential training are required. With a growing demand for those at competent and expert level, it is necessary to promote WBL to facilitate the upskilling of those employed in manufacturing roles, particularly in small and medium-sized enterprises (SMEs).

scholarly journals A Critical Review of Smart Manufacturing & Industry 4.0 Maturity Models: Applicability in the O&G Upstream Industry

2021 ◽  
Author(s):  
Chinedu Onyeme ◽  
Kapila Liyanage
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Oil And Gas ◽  
Manufacturing Sector ◽  
Transition Process ◽  
Smart Manufacturing ◽  
Maturity Model ◽  
Business Organizations ◽  
Initial State ◽  
Maturity Models

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.

scholarly journals Implementation of industry 4.0 to achieve sustainable manufacturing in steel industry: a case study

2021 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Pradeep Kumar
Keyword(s):  
Steel Industry ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Agile Manufacturing ◽  
The One ◽  
The Internet Of Things

Sustainable manufacturing has been a popular topic of research for quite some time now. There are various concepts and ideas which have claimed to have a significant impact on sustainability of the manufacturing industry like lean, green and agile manufacturing. Industry 4.0 is the latest and by far the one with the maximum potential of changing the manufacturing sector forever. It is rightly called as “the fourth industrial revolution”. It is a wide concept which covers many state of the art technologies like the Internet of Things (IoT), Artificial Intelligence, Big Data, Augmented reality etc. But like every big revolution, it is to face many challenges also. In this review, we are looking at this ‘yet in infancy’ concept and its role in achieving a sustainable manufacturing sector as discussed by researchers. Different scholars have come up with different challenges to implementation of I4.0 which they thought to be of some significance. There is going to  review such challenges making a list of 13 such challenges. Then, it also throw some light on the new challenge faced by all of humanity in the form of SARS-CoV-2 pandemic and how it is affecting the manufacturing sector.

scholarly journals The impact of gainsharing in the automotive parts manufacturing industry of South Africa

2018 ◽  
Vol 21 (1) ◽  
Author(s):  
Robert W.D. Zondo
Keyword(s):  
South Africa ◽  
Capital Investment ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Labour Productivity ◽  
Manufacturing Companies ◽  
High Productivity ◽  
Automotive Parts ◽  
Parts Manufacturing ◽  
The Impact

The majority of South Africans expect greater prosperity that can be accomplished through greater employment, high productivity and wage increases. Increased productivity can finance higher wages without burdening the customer with higher selling prices. Consequently, there should be strong co-operation between management and labour to improve productivity, thereby ensuring the survival of South African companies. To achieve this objective, organisations find themselves turning to their employees for creative suggestions and ideas on better ways of doing things. This sentiment underpins the concept of gainsharing. Gainsharing is a formula-based company-wide programme that offers employees a share in the financial gains of a company as a result of its improved performance. This motivation boosts a company’s productivity and radically reduces the cost of waste, spoilage, rejects and rework. This study examined the impact of a gainsharing programme on the improvement of labour productivity in the automotive parts manufacturing sector. The study investigated the production and related experience of two automotive parts manufacturing companies (referred to as A and B in this study) that have adopted a gainsharing strategy. The two companies operate in the eThekwini District Municipality in KwaZulu-Natal. It assessed if gainsharing is responsible for company labour productivity improvements. The investigation was achieved by collecting pre- and post-gainsharing quarterly data for spoilage, absenteeism, capital investment and labour productivity. Gainsharing improves labour productivity and reduces spoilage and absenteeism rates. In order to maximise performance, a comprehensive performance policy must be developed, which aligns pay (and other incentives) to performance. The study uncovered the strengths and weaknesses of gainsharing for labour productivity improvement in South Africa.

scholarly journals How Technological Innovation Affect China’s Pharmaceutical Smart Manufacturing Industrial Upgrading

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Su Wang ◽  
Yuwen Chen
Keyword(s):  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Digital Transformation ◽  
Pharmaceutical Manufacturing ◽  
Smart Manufacturing ◽  
Manufacturing Companies ◽  
Industrial Upgrading ◽  
Depth Analysis ◽  
Innovative Resources

In recent years, a new generation of information technology has provided sufficient technical support for the smart manufacturing industry. In order to promote the upgrading of China’s pharmaceutical smart manufacturing industry, the direction of industrial upgrading and transformation will be discussed from the perspective of technological innovation. According to the input and output data of technological innovation in China’s pharmaceutical manufacturing industry from 2007 to 2019, the DEA method is used to analyze the allocation of innovative resources in China’s pharmaceutical manufacturing industry in recent years. The study found that the efficiency of technological innovation in China’s pharmaceutical manufacturing industry fluctuated greatly from 2007 to 2019, with a low overall level and varying degrees of wasted resources. On this basis, an in-depth analysis of the system architecture of the pharmaceutical smart manufacturing industry under the Industry 4.0 environment was performed. Finally, four paths for the digital transformation of China’s pharmaceutical manufacturing industry are proposed. Chinese pharmaceutical manufacturing companies need to use new technologies to carry out comprehensive intelligent upgrading and digital transformation to improve innovation efficiency.

Presenting an Innovative Process Improvement Method for the Efficient Forklift Material Handling Systems in the Industry 4.0

2020 ◽  
Vol 14 (1) ◽  
pp. 32-38
Author(s):  
Róbert Skapinyecz ◽  
Béla Illés ◽  
Tamás Bányai ◽  
Umetaliev Akylbek ◽  
Ibolya Hardai ◽  
...  
Keyword(s):  
Process Improvement ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Data Transfer ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Time Data ◽  
Material Handling Systems ◽  
Improvement Method

The rapid adoption of Industry 4.0 principles in the manufacturing sector during the last couple of years has created numerous possibilities for development. One key area related to manufacturing in which Industry 4.0 solutions can have a significant impact is the field of materials handling. However, today the majority of manufacturing companies still overly rely on the utilization of standard forklift material handling systems for supporting their operations. In this paper, our goal is to present a novel process improvement method utilizing Industry 4.0 principles which could significantly aid in the design of efficient forklift material handling systems. We believe that by utilizing the opportunities inherent in Industry 4.0 (in this case mainly sensor systems, big data analysis, digitalization and real-time data transfer), forklift based material handling can be elevated to an entirely new level in terms of efficiency, which could greatly improve the overall performance of the vast majority of manufacturing systems.

scholarly journals A Conceptual Framework to Support Digital Transformation in Manufacturing Using an Integrated Business Process Management Approach

Designs ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 17
Author(s):  
Javaid Butt
Keyword(s):  
Conceptual Framework ◽  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management ◽  
New Technologies ◽  
Manufacturing Sector ◽  
Digital Transformation ◽  
Management Approach ◽  
The Impact

Digital transformation is no longer a future trend, as it has become a necessity for businesses to grow and remain competitive in the market. The fourth industrial revolution, called Industry 4.0, is at the heart of this transformation, and is supporting organizations in achieving benefits that were unthinkable a few years ago. The impact of Industry 4.0 enabling technologies in the manufacturing sector is undeniable, and their correct use offers benefits such as improved productivity and asset performance, reduced inefficiencies, lower production and maintenance costs, while enhancing system agility and flexibility. However, organizations have found the move towards digital transformation extremely challenging for several reasons, including a lack of standardized implementation protocols, emphasis on the introduction of new technologies without assessing their role within the business, the compartmentalization of digital initiatives from the rest of the business, and the large-scale implementation of digitalization without a realistic view of return on investment. To instill confidence and reduce the anxiety surrounding Industry 4.0 implementation in the manufacturing sector, this paper presents a conceptual framework based on business process management (BPM). The framework is informed by a content-centric literature review of Industry 4.0 technologies, its design principles, and BPM method. This integrated framework incorporates the factors that are often overlooked during digital transformation and presents a structured methodology that can be employed by manufacturing organizations to facilitate their transition towards Industry 4.0.

Sign in / Sign up

Export Citation Format

Share Document