A study of trends and industrial prospects of Industry 4.0

Sharma, Arun Kumar; Bhandari, Rakesh; Pinca‐Bretotean, Camelia; Sharma, C.B.; Dhakad, Shri Krishna; Mathur, Ankita

doi:10.1016/j.matpr.2021.04.321

Cited by 36 publications

(22 citation statements)

References 11 publications

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“…In the digital age, it is evident that IT components are widely used in all sectors and industries [25]. Therefore, IT components are widely used to improve decision-making processes.…”

Section: Information Technology In the Decision-making Processmentioning

confidence: 99%

The Impact of Information Technology Integration on the Decision-Making Process

Hussein

Nassreddine

Younis

2023

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In the last decade, information technology tools have witnessed enormous development. Nowadays, they are used in all daily human tasks. Organizations and companies have recently started using information technology tools in all sectors. For example, the decision-making process is an essential task in all organizations. By using information technology components, companies can create a decision-making system that produces more accurate results with less time, effort, and cost. In this paper, the authors describe the role of information technology tools in the decision-making process. The impact of using information technology in the decision-making process was studied at a telecommunications company in Iraq. The authors use a descriptive-analytical method to describe this impact. They adopt a questionnaire to collect information and answer it. The analysis of the answers is done using SPSS. The findings indicate a link between using information technology tools and making sound decisions.

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“…In the digital age, it is evident that IT components are widely used in all sectors and industries [25]. Therefore, IT components are widely used to improve decision-making processes.…”

Section: Information Technology In the Decision-making Processmentioning

confidence: 99%

The Impact of Information Technology Integration on the Decision-Making Process

Hussein

Nassreddine

Younis

2023

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“…Therefore, it expands the scope of digital service innovation while also paving the way for traditional manufacturing to be transformed ( Pyatt-Downes and Kane, 2019b ; Retolaza et al, 2021 ). This has resulted in a shift away from product-centric business and toward more flexible and emotional interactions with users, allowing companies to gain market competitiveness through open (design) innovation ( Sharma et al, 2021 ; Tseng et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Investigate the Influencing Factors of Industrial Design Platform Demand: From the Perspective of Emotional Interaction

Zhang¹,

Yang²,

Tong³

et al. 2022

Front. Psychol.

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With the deep integration of industries brought about by big data technology, users’ design needs are diversifying and individuating. Thanks to big data technology, users’ diverse design needs can be precisely met. Meanwhile, big data can be used to realize emotional interaction for personalized design needs of users, resulting in a better user experience. Using grounded theory to mine user demand text data, this paper investigates the influencing factors of emotional interaction and dynamic resource allocation in the digital design supply chain. The results show that government-driven factors have a direct impact on the demand for industrial design in user emotional interactions. Market factors are the most fundamental in the development of an industrial design service platform, and universities play an important role in this. Furthermore, a lack of market sensitivity stems from a lack of emotional interaction with users, resulting in a schism between industry, university, and research, which has become a major impediment to the development of China’s industrial design industry. This study not only lays the theoretical groundwork for understanding the mechanisms of user emotional interaction on IDSPs, but it also points the way forward for future industrial design service platform development.

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“…Common single‐component materials are not always able to meet the standards required by many industrial sectors (aerospace, automotive, marine, transportation, and others). Usually and for common applications there is a need to combine the properties of two or more materials, for example, the low density of a polymer with the specific stiffness of a metal 1,2 …”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, perhaps the most widely used composites are polymer matrix composites with particulate or fiber reinforcement 2,6 …”

Section: Introductionmentioning

confidence: 99%

“…Usually and for common applications there is a need to combine the properties of two or more materials, for example, the low density of a polymer with the specific stiffness of a metal. 1,2 In such cases, the solution may be the manufacturing of composite materials with the appropriate and optimized for the intended use ratio of their components. Typically, such a composite is a two-phase material, consisting of the matrix and reinforcement phases, separated from each other by a distinct interphase.…”

Section: Introductionmentioning

confidence: 99%

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The exponential model versus a modified Chamis model and applications to sustainable particulate composites

Anastasiou

2023

J of Applied Polymer Sci

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The Exponential model is introduced to predict the modulus of particulate or short‐fiber reinforced composites. The model allows the prediction of Young's modulus, bending modulus, shear modulus, and bulk modulus in a series of composites from a single experimental point. Subsequently, a modification of the widely used Chamis model is introduced, also allowing the prediction of particulate composite moduli from a single experimental point. The predictions of each model are compared with original experimental data derived from tension tests on sustainable and bio‐based composites, covering common cases of thermosets and thermoplastics, as well as different chemical treatments and sizes of the reinforcing materials, and are plotted against the predictions of the rule of mixtures, the inverse rule of mixtures and the Chamis model. Two different matrices (PLA and Ecopoxy) and six different reinforcements (chemically treated and untreated Luffa cylindrica short fibers, acetylated and untreated cotton flocks, and olive pits of 1–5 μm or 50–150 μm diameter) are used. The comparisons show that both the proposed models are capable of achieving much higher prediction accuracy (2.28–59.51 times less root mean square error) than the three models already in use, and easily adapting to the matrix and/or reinforcement changes.

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A study of trends and industrial prospects of Industry 4.0

Cited by 36 publications

References 11 publications

The Impact of Information Technology Integration on the Decision-Making Process

The Impact of Information Technology Integration on the Decision-Making Process

Investigate the Influencing Factors of Industrial Design Platform Demand: From the Perspective of Emotional Interaction

The exponential model versus a modified Chamis model and applications to sustainable particulate composites

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