Manufacturing and Management Paradigms, Methods and Tools for Sustainable Industry 4.0-Oriented Manufacturing Systems

Varela, Leonilde; Ávila, Paulo; Castro, Hélio; Putnik, Goran D.; Fonseca, Luís; Ferreira, Luís

doi:10.3390/su14031574

Cited by 11 publications

(2 citation statements)

References 25 publications

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“…Collaborative networks (CN), and global or group decision-making approaches (GDMA) are fundamental for enabling and promoting the interaction and sharing of knowledge among two or more collaborating entities [1][2][3][4][5]. Moreover, independently of sharing or not having the same goal, and/or resources, usually, interplaying entities do fall into some kind of business environment, for instance in the context of distributed or extended manufacturing systems (EMS) or agile/virtual enterprises (A/VE) [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

et al. 2023

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Nowadays, global resources management intersects with collaboration and Industry 4.0 paradigms, namely for collaboratively managing cyber-physical systems. Only organizations that cooperate with their business partners, along with their suppliers and remaining stakeholders, including their clients, will be able to permit and promote the much-needed endowing of agility, effectiveness, and efficiency in their management processes. For that, suitable decision-making paradigms, along with underlying approaches, will be needed, in order to properly fulfil current companies’ decision requirements and practices. The main purpose of this paper is to show that this can be achieved by applying combined global resources management paradigms and approaches, to reach collaboration further supported by recent technology made available through Industry 4.0. In doing so, the interaction of companies and stakeholders, supported by appropriate networks, along with varying kind of other communication and problem-solving technology, will enable them to promote and reinforce interoperation to reach the best-suited management decisions, by considering each ones’ objectives and priorities, along with common goals. To this end, in this paper, a systematic literature review methodology is used to synthetize the main contributions about the relation of these domains. The study carried out and the results obtained permitted us to realize that dynamic, integrated, distributed, parallel, intelligent, predictive, and real-time-based decision paradigms are of the upmost importance currently, but are still just scarcely being combined, which is suggested though its encompassing through a proposed collaborative management framework that is recommended to be applied, either in industry or academia, to improve global resources management processes and practices.

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Section: Introductionmentioning

confidence: 99%

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

et al. 2023

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“…Thus, the emergence of Industry 4.0 tools seeks to improve systems' control and monitoring, with the aim of providing a more efficient decision-making process. On the other hand, the complexity behind the conception and implementation of these tools in manufacturing systems implies the urge for techniques to consolidate the structuring and resolution of decision problems since they can have negative environmental impacts if they are poorly managed in the process [5]. For that reason, there is a growing concern about energy consumption and the generation of electronic waste, which certainly impacts operations management's ability to overcome technological paradigms that exist in daily operations [6].…”

Section: Introductionmentioning

confidence: 99%

Paradigms, Methods, and Tools for Multicriteria Decision Models in Sustainable Industry 4.0 Oriented Manufacturing Systems

Silva

Ferreira

et al. 2023

Sustainability

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The rise of Industry 4.0 tools transforms the way production plants are planned, controlled, and monitored, allowing organizations to achieve greater flexibility, efficiency, and cost reduction. This way, the use of emerging technologies provides a new look at the industrial sector, particularly concerning sustainability issues in a society that suffers worsening effects from climate change. On the other hand, the degree of success when implementing Industry 4.0 practices in sustainable-oriented manufacturing systems is closely related to hard decision-making, which involves, in practice, multiple and even conflicting criteria to model multidimensional problems. For that reason, it is worth recognizing the importance of the multi-criteria decision-making/aid (MCDM/A) approach to support decision modeling and application so that this research field can be better explored to enhance Industry 4.0 implementation and innovative advances in operations management. Given this backdrop, this paper undertakes a systematic literature review (SLR) of 118 papers, thereby combining a set of predefined keywords with several exclusion criteria to detect the literature that is related to sustainable decisions in manufacturing systems that introduced Industry 4.0 practices in the Web of Science (Clarivate Analytics) database. Cross-matching important research metrics from these papers encourages this work to provide readers with two axes of discussion with the aid of five research questions: a bibliometric analysis and a content analysis. Among many findings, some guidelines for decision-making are put forward to share insights and provide decision-makers, scholars, experts, stakeholders, and other professionals with an overall managerial background when applying sustainable-oriented multicriteria models in manufacturing systems.

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State of art review on sustainable manufacturing and Industry 4.0

Harikannan,

Vinodh

2024

Bus Strat Env

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Industry 4.0 refers to a set of technologies that facilitate the development of value chain, resulting in shorter lead times, higher quality products and better organisational performance. These innovative smart technologies have the potential to address widespread sustainability concerns, while having the capacity to enhance production, and can morally impact sustainable development. Recently, manufacturing sector has vital influence on environmental, social and economic aspects of sustainability, owing to their substantial demands on energy, water, materials and other resources. The goal of this study is to analyse sustainable manufacturing and Industry 4.0 (I4.0) research studies with an emphasis on manufacturing domain. To clarify how these revolutionary technologies might affect sustainability of manufacturing industries, systematic literature review (SLR) of prior studies on sustainable manufacturing and I4.0 featuring from its conception to performance measures was done. To conduct the review, literature search was directed using SCOPUS and Web of Science databases. A total of 442 articles that were published in reputed journals between 2009 and 2022 were shortlisted for comprehensive review. The study conclusions gave vital information on several viewpoints of sustainable I4.0 in manufacturing organisation. A conceptual framework with five layers based on SLR was established to direct and aid manufacturing industries towards sustainable I4.0 implementation. The framework supports manufacturing sector to focus on sustainable I4.0 for sustainable economic value creation and development using digital technologies.

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Manufacturing and Management Paradigms, Methods and Tools for Sustainable Industry 4.0-Oriented Manufacturing Systems

Abstract: In the current Industry 4 [...]

Cited by 11 publications

References 25 publications

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

Paradigms, Methods, and Tools for Multicriteria Decision Models in Sustainable Industry 4.0 Oriented Manufacturing Systems

State of art review on sustainable manufacturing and Industry 4.0

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