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Requirements for the Optimal Design for the Metasystematic Sustainability of Digital Double-Form Systems

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  • Gaurav Dhiman
  • Gaganpreet Kaur
  • Mohd Anul Haq
  • Mohammad Shabaz

Abstract

The United Nations defined tenable progress as a development that responds to the demands of the current without adjusting the capacity of further generations to fulfil their own requirements; this is a fundamental idea in this article. This study recognizes three aspects, financial, social, and environmental sustainability, although its emphasis is on the latter. An electronic copy is sometimes characterized a physical thing, a real counterpart, and the data, which indicates the presence of a connector and block for effective and efficient data transmission. This article offers a systematic literature review on the sustainability of designed technology-based systems. This article also introduces the major requirements which can be helpful in designing optimal design for sustainability of a digital double-form system. Many articles on DT have also been chosen since they referenced the studied SLRs and were deemed to be significant for the objectives of this study. Selected and analysed for papers revealed so many flaws and challenges: the boons of are not clear; DTs throughout the result the wheel of life of the DTs is not adequately surveyed; DTs can contribute to cost reduction or to support decision-making is unclear; Internet practice should be improved and better integrated Moreover, it has not been feasible from our study to locate a publication which solely discusses DTs in relation with situational sustainability.

Suggested Citation

  • Gaurav Dhiman & Gaganpreet Kaur & Mohd Anul Haq & Mohammad Shabaz, 2021. "Requirements for the Optimal Design for the Metasystematic Sustainability of Digital Double-Form Systems," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, November.
  • Handle: RePEc:hin:jnlmpe:2423750
    DOI: 10.1155/2021/2423750
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    Cited by:

    1. Gaurav Dhiman & Sapna Juneja & Hamidreza Mohafez & Ibrahim El-Bayoumy & Lokesh Kumar Sharma & Maryam Hadizadeh & Mohammad Aminul Islam & Wattana Viriyasitavat & Mayeen Uddin Khandaker, 2022. "Federated Learning Approach to Protect Healthcare Data over Big Data Scenario," Sustainability, MDPI, vol. 14(5), pages 1-14, February.
    2. Prabhdeep Singh & Rajbir Kaur & Junaid Rashid & Sapna Juneja & Gaurav Dhiman & Jungeun Kim & Mariya Ouaissa, 2022. "A Fog-Cluster Based Load-Balancing Technique," Sustainability, MDPI, vol. 14(13), pages 1-14, June.

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