A novel methodology for designing smart workplace environments utilizing fuzzy relations

Aly, Shady; Pelikán, Martin; Vrána, Ivan

doi:10.3233/ais-180478

Cited by 2 publications

(1 citation statement)

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“…The fuzzy screening approach is used to assess the merits of the SETs with respect to the objectives and opportunities to enhance the performance of manufacturing workplace tasks and the elicited logical improvement opportunities. Aly et al (2018) [4] presented a novel methodology to design a smart workplace environment to achieve objectives and improve performance. Fuzzy relations were utilized to model and quantify vague influence relations among related goals, objectives, concepts, and smart technologies.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Design of Smart Workplace through Multi-Objective Programming

2021

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Smart environments have proven very supportive to the improvement of the performance of people in different workplaces. Plenty of applications have been introduced spanning different settings including healthcare, ambient assisted living, homes, offices, and manufacturing environment, etc. However, subjectivity and ambiguity prevail in the majority of research, and still, up to date, rare approaches found quantitatively and objectively constructing or assessing the impact of smart enabling technologies on the performance of the subject environment. Further, no approaches have considered optimizing the adoption of those smart technologies with respect to objectives achievement. This article presents a novel optimization methodology for designing a smart workplace environment in conditions of ambiguity or fuzziness. The methodology begins with defining and weighing the overall goals and objectives of the workplace. The Prometthe multi-criterion decision-making technique is used to weigh the operational objectives with respect to the overall workplace goals. Next, the relation among basic building blocks of the model; namely: the operational objectives, smartness features, and smart enabling technologies are quantified, utilizing fuzzy relations. Then, the fuzzy goal programming techniques will be utilized to optimize the impact relation values while considering the budget constraint. The proposed optimization methodology is implemented on the development and optimization of the smart clinic, as a typical instance of the workplace.

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Section: Introductionmentioning

confidence: 99%

Optimizing Design of Smart Workplace through Multi-Objective Programming

2021

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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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A novel methodology for designing smart workplace environments utilizing fuzzy relations

Cited by 2 publications

References 70 publications

Optimizing Design of Smart Workplace through Multi-Objective Programming

Optimizing Design of Smart Workplace through Multi-Objective Programming

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

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