Textile Industry 5.0? Fiber Computing Coming Soon to a Fabric Near You

AATCC Review ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 25-30
Author(s):  
Cary Sherburne

As an industry, we've barely gotten our feet wet with Textile Industry 4.0, and now Textile Industry 5.0 is on the horizon! According to experts at Advanced Functional Fabrics of America (AFFOA), the development of functional fiber computing solutions will likely be the basis for moving us into Textile Industry 5.0.

2015 ◽  
Vol 105 (04) ◽  
pp. 195-199
Author(s):  
R. Riedel ◽  
N. Göhlert ◽  
E. Müller

Industrie 4.0 bietet für die produzierende Industrie in Deutschland erhebliche Potentiale zur Steigerung der Wettbewerbsfähigkeit. Die Anwendung und volle Ausnutzung der Möglichkeiten entsprechender Technologien sind jedoch an bestimmte Voraussetzungen gebunden. Der Fachbeitrag reflektiert vor diesem Hintergrund die Umsetzungspotentiale von Industrie 4.0 in der Textilindustrie.   Industry 4.0, also called Integrated Industry, provides considerable potential for the manufacturing industry in Germany to increase its competitiveness. However, the application and the full exploitation of the potential of those technologies depend on certain conditions. Against this background, the article reflects on the implementation potential of Industrie 4.0 in the textile industry.


2019 ◽  
Vol 16 (1) ◽  
pp. 29-36
Author(s):  
Satrio Utomo ◽  
Nugraheni Setiastuti

The era of technology is disrupted at this time, better known as the Industrial Revolution 4.0,  already been applied to a various field of each country. Industry 4.0 include Internet of  Thing (IoT), Artificial Intelligence (AI), human-machine interface, 3-D printing, and Advanced Robotics.  Industry 4.0 is expected to increase productivity, business efficiency, and competitiveness. Indonesia’s Ministry of Industry has designed ‘Making Indonesia 4.0’  by preparing a roadmap and strategy to meet industry 4.0. There are 5 (five) prioritize manufacturing industrial sectors: Food and Beverages, Textile and Apparel, Electronics, Chemical, and Automotive. For studies conducted in the textile and apparel industry, as one of the priority industries. The Research study was conducted to determine the level of readiness of the textile manufacturing industry to meet industry 4.0 based on aspects of Technology, Processes, and Organizations. The method used is The Singapore Smart Industry Readiness Index. By knowing this level of readiness, it will help the industry to know the position of the current level of readiness and what needs are needed to reach the level of industry 4.0. By knowing the position, is able to know the strengths and weaknesses of technology from the operational technology used, which then knows the technological priorities that are of concern by management to increase industrial competitiveness towards industrial level 4.0.Based on the results of the mapping, related to the level of readiness of the textile industry of PT. Grand Textile based on technological aspects (1.56), process aspects (1.33) and organizational aspects (2.00) amounted to 1.63; position at level 1 which is categorized as New Comer.


Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2072 ◽  
Author(s):  
Wen-Hsien Tsai

The textile industry is one of the world’s major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and finally achieving a maximization of profit. The main contributions of this research are using mathematical programming approach to formulate the decision model with ABC cost data and TOC constraints for the textile companies and clarifying the relation between mathematical programming models and Industry 4.0 techniques. Managers in the textile companies can apply this decision model to achieve the optimal product-mix under various constraints and to evaluate the effect on profit of carbon emissions, energy recycling, waste reuse, and material quantity discount.


2017 ◽  
Vol 107 (04) ◽  
pp. 261-265
Author(s):  
M. Clauß ◽  
N. Göhlert ◽  
M. Bojko ◽  
E. Prof. Müller

Für die mittelständisch geprägte Textilbranche ist eine am Kosten-Nutzen-Verhältnis orientierte Investitionstätigkeit im Zuge der Transformation zur Industrie 4.0 unverzichtbar. Der Fachbeitrag beschreibt zunächst Charakteristika der textilen Wertschöpfungskette im Bereich der Weberei und zeigt in diesem Kontext die zunehmende Bedeutung der operativen Planung auf. Ergebnis sind konkrete nutzenorientierte Ansätze für Investitionen in den Bereichen Digitalisierung sowie Automatisierung.   It is vital for the medium-sized characterized textile industry to focus investment activity on the cost-benefit ratio when transforming for Industry 4.0. This article works out the characteristics of the textile value chain concerning weaving and how planning quality at the operational level affects concrete examples. On this basis, concrete proposals for investments in digitization and automation are deduced and their value benefits highlighted.


2019 ◽  
Vol 11 (2) ◽  
pp. 52-69 ◽  
Author(s):  
Beata Ślusarczyk ◽  
Muhammad Haseeb ◽  
Hafezali Iqbal Hussain

Abstract The textile industry is one of the fastest growing industries which expressively contributes to the economic growth of Malaysia. However, in recent years, the situation has changed and demonstrates a downward trend. The imports are growing faster compared to the exports, consequently resulting in a low contribution to the gross domestic product (GDP). To address the issue, this study aims to investigate the role of Industry 4.0 on the performance of firms engaged in the production and services of the Malaysian textile industry. To achieve the objective, this study adopted a cross-sectional research design. A survey was carried out to collect data from employees of textile firms. Results of the study found that Industry 4.0 positively contributed to the effectiveness of the production and services of the textile industry. Production and services have a positive role in the performance of textile firms. The current study provides an interesting insight into the future direction of research for studies on organisational performance, which can be extended to different manufacturing-based industries. In addition, it provides the rationale for the adoption and implementation of smart technologies in these industries. It has been found that cyber-physical systems (CPS), interoperability, a smart city and a smart product have a positive effect on production and services. Additionally, it is not possible without the effective implementation of technology. Thus, the current study provides valuable insights into the improvement of the textile industry’s performance.


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