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 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 An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach

2021 ◽  
Vol 13 (21) ◽  
pp. 11997
Author(s):  
Varun Tripathi ◽  
Somnath Chattopadhyaya ◽  
Alok Bhadauria ◽  
Shubham Sharma ◽  
Changhe Li ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Value Added ◽  
Value Stream Mapping ◽  
Just In Time ◽  
Value Stream ◽  
Novel Approach ◽  
Decision Making Processes ◽  
Machinery Manufacturing

Worldwide, industries are emphasizing the development of an agile system to sustain higher productivity, which can be applied to ensure improvements in all production conditions in industry 4.0. In the present scenario, several methods are used for improvements in production, such as value stream mapping, kaizen, just in time, Kanban, and total productive maintenance, etc., The objective of the present research article is to produce an agile system to sustain improvements in productivity through a methodology coupled with value stream mapping in industry 4.0. Value stream mapping is a lean-based method and is used for the maximization of productivity by the elimination of non-value-added activities. The proposed methodology has been validated by productivity enhancements achieved in a case study of the earthmoving machinery manufacturing sector. The study establishes that the proposed methodology would encourage industry personnel during decision-making processes, which would lead to improvements in production in industry 4.0.

scholarly journals Critical Success Factors of the Intelligentization in Precision Machinery Industry

2020 ◽  
Author(s):  
Chen Chao-Hsuan ◽  
Lai We-Hsiang
Keyword(s):  
Industry 4.0 ◽  
Critical Success Factors ◽  
Manufacturing Industry ◽  
Success Factors ◽  
Production Efficiency ◽  
Reference Value ◽  
Analytic Hierarchy ◽  
Machinery Industry ◽  
Critical Success ◽  
Machinery Manufacturing

Various industries related to daily life are related to the precision machinery industry (PMI). With the pace of Industry 4.0, PMI is one of the industries with great development potential. Renewal progress has not only caused changes in life but also revealed a significant impact on occupations. In recent years, the rise of Industry 4.0 has increased the output value of various industries. The launch of Industry 4.0 has led to global manufacturing initiatives to improve production efficiency and to reduce its burden. In order to increase its industrial benefit as the goal, it is important to discuss the problems and challenges that people face. Therefore, this study uses the Analytic Hierarchy Process (AHP) method to focus on the objectives of the research on the critical success factors of intelligentization in PMI. This study not only expects to provide the existing machinery manufacturing industry and the management policies for the future investment in PMI manufacturer reference value but also expects to serve as an academic reference for government policy considerations and scholars in the machinery manufacturing industry.

scholarly journals Suppliers Selection In Manufacturing Industries And Associated Multi-Objective Desicion Making Methods: Past, Present And The Future

2016 ◽  
Vol 12 (1) ◽  
pp. 93 ◽  
Author(s):  
Soheil Hassanzadeh ◽  
Kai Cheng
Keyword(s):  
Manufacturing Industry ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Need To Evaluate ◽  
Network Process ◽  
Quality Of Products ◽  
Hierarchy Process

Nowadays, many manufacturing companies have decided to use other companies’ competencies and outsource part of their manufacturing processes and business to suppliers globally in order to reduce costs, improve quality of products, explore or expand new markets, and offer better services to customers, etc. The decisions have rendered manufacturing organizations with new challenges. Organizations need to evaluate their suppliers' performance, and take account of their weakness and strength in order to win and survive in highly competitive global marketplaces. Hence, suppliers evaluation and selection are taken as an important strategy for manufactring enterprises. This paper aims to provide a comprehensive and critical review on suppliers selection and the formulation of different criteria for suppliers selection, the associated multi-objctive decision makings, selecion algorithms, and their implementation and application perspectives. Furthermore, individual and integrated suppliers selection approaches are presented, including Analytic hierarchy process (AHP), Analytic network process (ANP), and Mathematical programming (MP). Linear programming (LP), Integer programming (IP), Data envelopment analysis (DEA) and Goal programming (GP) are discussed with in-depth. The paper concludes with further discussion on the potential and application of suppliers selection approach for the broad manufacturing industry.

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.

scholarly journals An Integrated Multicriteria Decision-Making Approach for Collection Modes Selection in Remanufacturing Reverse Logistics

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 631
Author(s):  
Xumei Zhang ◽  
Zhizhao Li ◽  
Yan Wang ◽  
Wei Yan
Keyword(s):  
Decision Making ◽  
Reverse Logistics ◽  
Circular Economy ◽  
Manufacturing Industry ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Hierarchy Process

Reverse logistics (RL) is closely related to remanufacturing and could have a profound impact on the remanufacturing industry. Different from sustainable development which is focused on economy, environment and society, circular economy (CE) puts forward more requirements on the circularity and resource efficiency of manufacturing industry. In order to select the best reverse logistics provider for remanufacturing, a multicriteria decision-making (MCDM) method considering the circular economy is proposed. In this article, a circularity dimension is included in the evaluation criteria. Then, analytic hierarchy process (AHP) is used to calculate the global weights of each criterion, which are used as the parameters in selecting RL providers. Finally, technique for order of preference by similarity to ideal solution (TOPSIS) is applied to rank reverse logistics providers with three different modes. A medium-sized engine manufacturer in China is taken as a case study to validate the applicability and effectiveness of the proposed framework.

scholarly journals TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

2021 ◽  
Vol 1 ◽  
pp. 3149-3158
Author(s):  
Álvaro Aranda Muñoz ◽  
Yvonne Eriksson ◽  
Yuji Yamamoto ◽  
Ulrika Florin ◽  
Kristian Sandström
Keyword(s):  
Industry 4.0 ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Technical Aspects ◽  
Industrial Landscape ◽  
The Future ◽  
New Research ◽  
Empirical Material

AbstractThe availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.

Identification and prioritization of corporate sustainability practices using analytical hierarchy process

2015 ◽  
Vol 10 (1) ◽  
pp. 23-49 ◽  
Author(s):  
Praveen Goyal ◽  
Zillur Rahman ◽  
Absar Ahmad Kazmi
Keyword(s):  
Manufacturing Sector ◽  
Corporate Sustainability ◽  
Pollution Prevention ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Scarce Resources ◽  
Sustainability Performance ◽  
Corporate Sustainability Performance ◽  
Sustainability Practices ◽  
Hierarchy Process

Purpose – The purpose of this paper is to identify and prioritize the corporate sustainability practices to improve the corporate sustainability performance in the manufacturing sector. Further, these practices are being prioritized to find out the essential practices to ensure logical allocation of limited resources. Design/methodology/approach – It examines the corporate sustainability practices which have been shortlisted from both the literature review and experts judgment. Then, analytic hierarchy process has been used to assess the identified 12 practices of corporate sustainability and to find their priorities for improvement of the corporate sustainability performance. Findings – Based on the hierarchical model developed in this study, the analysis reveals market value, environment management and strategy, research and development, pollution prevention, corporate governance and investor responsibility, which have been found to be the most important practices in improving the corporate sustainability performance. Practical implications – The findings of the study would be useful to the practitioners in the proper allocation of scarce resources to optimize the corporate sustainability performance of firms, especially the manufacturing entities. Originality/value – It is a fact that multi-faceted nature of corporate sustainability includes both subjective and objective dimensions. Therefore, prioritization of corporate sustainability at the factor level is one of the important contributions to the literature that has been addressed in the present study. The results of this paper may be generalized to the other sectors.

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