Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024The interplay effects of digital technologies, green integration, and green innovation on food sup-ply chain sustainable performance: an organizational information processing theory perspectivecitations
  • 2022Integrating Industry 4.0 and Total Productive Maintenance for Global Sustainability25citations

Places of action

Chart of shared publication
Yadav, S.
1 / 6 shared
Kumar, A.
1 / 94 shared
Garza-Reyes, Jose Arturo
2 / 3 shared
Upadhya, A.
1 / 1 shared
Luthra, S.
1 / 1 shared
Kumar, V.
1 / 29 shared
Agrawal, R.
1 / 2 shared
Chart of publication period
2024
2022

Co-Authors (by relevance)

  • Yadav, S.
  • Kumar, A.
  • Garza-Reyes, Jose Arturo
  • Upadhya, A.
  • Luthra, S.
  • Kumar, V.
  • Agrawal, R.
OrganizationsLocationPeople

article

Integrating Industry 4.0 and Total Productive Maintenance for Global Sustainability

  • Samadhiya, A.
  • Garza-Reyes, Jose Arturo
  • Agrawal, R.
Abstract

The integration of Total Productive Maintenance (TPM) and industry 4.0 (I4.0) is an emerging model, and the global pressure of various stakeholders raises scepticism of any emerging model towards providing sustainability. Therefore, this research aims to identify and rank the potential significant drivers of an integrated model of I4.0 and TPM to guide manufacturing enterprises towards sustainability. This research follows a four-phase methodology includingliterature review and expert opinion to select the sustainability indicators and I4.0 integrated TPM key drivers, followed by employing the Analytic hierarchy process (AHP) approach for weight determination of sustainability indicators. The research then deploys the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prioritise the I4.0 integrated TPM key drivers based on their effect on various sustainability indicators. Finally, a sensitivity analysis is conducted to check the robustness of the TOPSIS. The findings establish the top five most influential key drivers of an I4.0 integrated TPM system, which include Top management support, Formal I4.0 adoption program, Mid-management involvement and support, Solid TPM baseline knowledge, and High engagement of the production team. These top drives can lead manufacturing firms towards sustainability. The digitalisation of shop floor practices, such as TPM could be adapted by shop floor managers and policymakers of manufacturing companies to deliver sustainability-oriented outcomes. In addition, this research may aid decision-makers in the manufacturing sector in identifying the most important drivers of Industry 4.0 and TPM, which will assist them in more effectively implementing an integrated system of Industry 4.0 and TPM to practice sustainability. The scope of TPM applicability is wide, and the current research is limited to manufacturing companies. Therefore, there is a huge scope for developing and testing the integrated system of Industry 4.0 and TPM in other industrial settings, such as the textile, food and aerospace industries. This research makes a first-of-its-kind effort to examine how an I4.0 integrated TPM model affects manufacturing companies' sustainability and how such effects might be maximised.

Topics
  • impedance spectroscopy
  • phase