The Internet of Things: The eco-system for sustainable growth

Benkhelifa, Elhadj; Abdel-Maguid, Mohamed; Ewenike, Stanley; Heatley, David

doi:10.1109/aiccsa.2014.7073288

Cited by 18 publications

(11 citation statements)

References 9 publications

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“…For improving sustainability, organization can benefit from IoT to create a knowledge database which shall enable the personnel to make informed decisions regarding policies, strategies, resource efficiency, waste reduction, process optimization, etc. (Benkhelifa et al, 2014).…”

Section: Green Implementation Phasementioning

confidence: 99%

Modern divulge in production optimization: an implementation framework of LARG manufacturing with Industry 4.0

Amjad

Rafique

Khan

2021

IJLSS

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Purpose In the modern manufacturing environment, it is imperative to apply the manufacturing concepts of lean, agile, resilient and green, collectively known as LARG manufacturing, to achieve excellence in which lean manufacturing eliminates wastes; agile manufacturing makes processes fast, efficient and flexible; resilient paradigm deals with countering the uncertainty while green manufacturing improves environmental performance. The objective of this study is to develop an integration framework that synergizes LARG manufacturing with Industry 4.0. Design/methodology/approach Through a literature review, the authors have explored the possibility of collaboration between constituents of lean, agile, resilient and green manufacturing with the facets of Industry 4.0. Findings The authors have developed a comprehensive integration framework that has been divided into 11 phases and 31 steps in which the various Industry 4.0 facets have supplemented the lean, agile, resilient and green paradigms. Practical implications This investigation and adoption of technologically intensive automation shall provide clarity to practitioners regarding the synergy of LARG manufacturing & Industry 4.0, so that fast and efficient manufacturing processes can be achieved. Originality/value The framework provides detailed insight towards implementation of LARG practices in a manufacturing organization in coalescence with Industry 4.0 practices.

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Section: Green Implementation Phasementioning

confidence: 99%

Modern divulge in production optimization: an implementation framework of LARG manufacturing with Industry 4.0

Amjad

Rafique

Khan

2021

IJLSS

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“…There seems to be no limit to the improvement and refinement of multi-criteria decision-making algorithms. The IoT paradigm referred to as one of the drivers of the Industry 4.0 revolution (Geng, 2017) has been able to transform the society dramatically and achieve the goals of SD (Benkhelifa et al, 2014;Biggs et al, 2016;Hopwood et al, 2005). Therefore, it is useful to empower sustainable agriculture (it is a concept stemming from the idea of SD published in the 1987 Brundtland Committee Report).…”

Section: Literature Reviewmentioning

confidence: 99%

A New Multi-Attribute Decision-Making Framework for Policy-Makers by Using Interval-Valued Triangular Fuzzy Numbers

Mohammadian¹,

Dahooie²,

Qorbani³

et al. 2021

Informatica

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Policy-makers are often hesitant to invest in unproven solutions because of a lack of the decision-making framework for managing innovations as a portfolio of investments that balances risk and return, especially in the field of developing new technologies. This study provides a new portfolio matrix for decision making of policy-makers to identify IoT applications in the agriculture sector for future investment based on two dimensions of sustainable development as a return and IoT challenge as a risk using a novel MADM approach. To this end, the identified applications of IoT in the agriculture sector fall into eight areas using the meta-synthesis method. The authors extracted a set of criteria from the literature. Later, the fuzzy Delphi method helped finalise it. The authors extended the SWARA method with interval-valued triangular fuzzy numbers (IVTFN SWARA) and used it to the weighting of the characteristics. Then, the alternatives were rated using the Additive Ratio Assessment (ARAS) method based on interval-valued triangular fuzzy numbers (IVTFN ARAS). Finally, decision-makers evaluated the results of ratings based on two dimensions of sustainability and IoT challenge by developing a framework for decision-making. Results of this paper show that policy-makers can manage IOT innovations in a disciplined way that balances risk and return by a portfolio approach, simultaneously the proposed framework can be used to determine and prioritise the areas of IoT application in the agriculture sector.

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“…For example, [24] describes a cloud-based smart home solution where users can monitor their power consumption and change their behavior accordingly. The IoT can also impact aspects other than energy consumption, like the minimization of waste [3]. IoT is not without its problems, several of them mentioned in [7] like private user data collection.…”

Section: Related Workmentioning

confidence: 99%

Life cycle assessment of an Internet of Things product: Environmental impact of an intelligent smoke detector

Manz

Meyer

Baumgartner

2021

Proceedings of the 11th International Conference on the Internet of Things

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Digitization and sustainability are the two big topics of our current time. As the usage of digital products like IoT devices continues to grow, it affects the energy consumption caused by the Internet. At the same time, more and more companies feel the need to become carbon neutral and sustainable. Determining the environmental impact of an IoT device is challenging, as the production of the hardware components should be considered and the electricity consumption of the Internet since this is the primary communication medium of an IoT device. Estimating the electricity consumption of the Internet itself is a complex task. We performed a life cycle assessment (LCA) to determine the environmental impact of an intelligent smoke detector sold in Germany, taking its whole life-cycle from cradle-to-grave into account. We applied the impact assessment method ReCiPe 2016 Midpoint and compared its results with ILCD 2011 Midpoint+ to check the robustness of our results. The LCA results showed that electricity consumption during the use phase is the main contributor to environmental impacts. The mining of coal causes this contribution, which is a part of the German electricity mix. Consequently, the smoke detector mainly contributes to the impact categories of freshwater and marine ecotoxicity, but only marginally to global warming. CCS CONCEPTS• Hardware → Impact on the environment.

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The Internet of Things: The eco-system for sustainable growth

Cited by 18 publications

References 9 publications

Modern divulge in production optimization: an implementation framework of LARG manufacturing with Industry 4.0

Modern divulge in production optimization: an implementation framework of LARG manufacturing with Industry 4.0

A New Multi-Attribute Decision-Making Framework for Policy-Makers by Using Interval-Valued Triangular Fuzzy Numbers

Life cycle assessment of an Internet of Things product: Environmental impact of an intelligent smoke detector

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