Grey system theory in engineering: a bibliometrics and visualization analysis

Tao, Liangyan; Liang, Ailin; Xie, Naiming; Liu, Sifeng

doi:10.1108/gs-06-2022-0059

Cited by 12 publications

(11 citation statements)

References 40 publications

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“…(2022), the emergence and development of grey systems theory has caused innovation and progress across several research areas, including engineering (Liu et al. , 2022; Tao et al. , 2022), management, sustainable development (Hu and Liu, 2022), agricultural science (Li et al.…”

Section: Methodological Proceduresmentioning

confidence: 99%

“…Given the prevalence of uncertain systems with small samples and limited information worldwide, GS 14,1 this method proves highly effective and widely applicable (Liu et al, 2022b;Prakash et al, 2023). Thus, as argued by Li et al (2022), the emergence and development of grey systems theory has caused innovation and progress across several research areas, including engineering Tao et al, 2022), management, sustainable development (Hu and Liu, 2022), agricultural science (Li et al, 2022) and many others.…”

Section: Use Of Ahp and Grey Fixed Weight Clusteringmentioning

confidence: 99%

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Use of AHP and grey fixed weight clustering to assess the maturity level of strategic communication management in Brazilian startups

Timóteo,

Cazeri,

Moraes

et al. 2023

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PurposeThe aim of this research was to evaluate the maturity level of strategic communication management implemented by Brazilian startups.Design/methodology/approachThis study employed the analytic hierarchy process (AHP), survey and Grey Fixed Weight Clustering modeling techniques. Three experts with extensive academic and practical experience in the subject participated in the AHP process, providing their opinions on the relative importance of eight variables associated with the topic under investigation, thus enabling their prioritization. Concurrently, data were collected through a survey from 23 respondents who have extensive knowledge about the realities of Brazilian startups. The weights derived from the AHP and the survey data were utilized in the Grey Fixed Weight Clustering modeling.FindingsBased on the opinions of the 23 respondents, the level of implementation of practices related to strategic management, brand management, external image management and internal communication management is superficial. In addition, according to the majority of experts, Brazilian startups exhibited a medium level of maturity to address the key challenges related to communication management. Furthermore, this study reveals that the variables “financial resources allocation,” “stakeholder relationship” and “brand management” were deemed the most significant for the model.Originality/valueThe contributions presented herein can be beneficial for both researchers and startup managers seeking to enhance communication strategies in their organizations. This research also contributes by highlighting how grey systems theory can be extremely useful for conducting decision-making analyses in the context of startups, which is characterized by uncertainty and imprecise information.

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Section: Methodological Proceduresmentioning

confidence: 99%

Section: Use Of Ahp and Grey Fixed Weight Clusteringmentioning

confidence: 99%

Use of AHP and grey fixed weight clustering to assess the maturity level of strategic communication management in Brazilian startups

Timóteo,

Cazeri,

Moraes

et al. 2023

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“…It also does not require large sample data and depend on any inherent probability distribution. Excellent bibliometric Grey ordinal priority approach and visualization analyses with respect to application of grey system theory in diverse fields of science, engineering, management and healthcare can be available in Lixia et al (2019), Liu et al (2022), Tao et al (2022) and Prakash et al (2023).…”

Section: Grey Numbersmentioning

confidence: 99%

A grey ordinal priority approach for healthcare waste disposal location selection

Chakraborty

Raut

Rofin

et al. 2023

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PurposeIncreasing public consciousness and demand for sustainable environment make selection of a safe location for effective disposal of healthcare waste (HCW) a challenging issue. This problem becomes more complicated due to involvement of multiple decision makers having varying knowledge and interest, conflicting quantitative and qualitative evaluation criteria, and presence of several alternative locations.Design/methodology/approachTo efficiently resolve the problem, the past researchers have already coupled different multi-criteria decision-making tools with uncertainty models and criteria weight measurement techniques, which are time-consuming and highly computationally complex. Based on involvement of a group of experts expressing their opinions with respect to relative importance of criteria and performance of alternative locations against each criterion, this paper proposes application of ordinal priority approach (OPA) integrated with grey numbers to solve an HCW disposal location selection problem.FindingsThe grey OPA can simultaneously estimate weights of the experts, criteria and locations relieving the decision makers from complicated computational steps. The potentiality of grey OPA in solving an HCW disposal location selection problem is demonstrated here using an illustrative example consisting of three experts, six criteria and four alternative locations.Originality/valueThe derived results show that it can be employed to deal with real-time HCW disposal location selection problems in uncertain environment providing acceptable and robust decisions. It relieves the experts from pair-wise comparisons of criteria, normalization of data, identification of ideal and anti-ideal solutions, aggregation of information and so on, while arriving at the most consistent decision with minimum computational effort.

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“…Also, Liu et al (2022) summarized the advances in GST research, various application achievements in the past 40 years, and the successful applications of GST in science and engineering. Tao et al (2022) examined and identified the achievements, hotspots, knowledge structure and emerging trends in the GST field.…”

Section: Grey Systems Theory (Gst)mentioning

confidence: 99%

Applying claim reduction criteria in selecting efficient contractors with the two-step grey data envelopment analysis approach

Asnaashari,

Sheikh Aboumasoudi,

Mozaffari

et al. 2023

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PurposeThe application of correct contractor selection strategies leads to the selection of a qualified contractor and, as a result, the on-time delivery of the project with the desired quality and within the predetermined budgetary constraints. For this reason, evaluating and qualifying contractors before reviewing the proposed prices has been considered an important issue. One factor that disrupts the project completion process and the failure to achieve pre-planned goals effectively is the occurrence of contractors' disputes and claims in projects. To this end, the present study explores claim-reduction strategies for selecting effective contractors in an uncertain environment to reduce possible problems.Design/methodology/approachThe two-step grey data envelopment analysis (GDEA) approach was used to measure efficiency as a powerful tool in selecting efficient contractors during tenders. This approach can extend the applications of multi-criteria decision-making (MCDM) models. In other words, given some uncertainties, the unavailability of some data, and the problems with the DEA model, the two-step GDEA model was used to rank the contractors. The data confirmed the satisfactory outcomes from the selected model.FindingsThe preliminary assessment of contractors is a pre-tendering process and a step in categorizing contractors, excluding contractors lacking required qualifications, and selecting efficient contractors. At first, it will help the employer to exclude inexperienced and unqualified contractors, save resources and time, reduce threats, replace opportunities with threats, and reduce material and non-material costs during the completion of the project until the projects are put into operation. Consequently, this approach reduces claims to a minimum level and increases the organization's effective material and non-material profit.Originality/valueOil and gas plans and projects have a significant, sensitive, and decisive role in the economic, social, political, cultural, infrastructural, and all-round development of Iran; This is while most of the financial resources needed to implement the development and programs across the country come from oil revenues. Studies have indicated that despite the importance of these plans and projects, many of them are not completed successfully, and this causes irreparable losses to the country's economy and development in various fields.HighlightThe findings of this study can be used by organizations to select more effective contractors to assign projects and plans to them.The preliminary assessment of contractors is a pre-tendering process and a step in categorizing contractors, excluding contractors who lack required qualifications, and finally selecting efficient contractors.At first, it will help the employer to exclude inexperienced and unqualified contractors, save resources and time, reduce threats, replace opportunities with threats, and reduce material and non-material costs during the completion of the project until the projects are put into operation.This approach also gives credit to the employer during the execution period and contributes to assessing unqualified contractors and reducing the temptation to hand over the project to an unqualified contractor but with a lower bid price.Consequently, this approach reduces claims to a minimum level and increases the effective material and non-material profit of the organization.Moreover, it provides an extra-organizational evaluation for contractors, motivating them to upgrade their capabilities and optimally allocate material and non-material resources, especially human resources.

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Grey system theory in engineering: a bibliometrics and visualization analysis

Cited by 12 publications

References 40 publications

Use of AHP and grey fixed weight clustering to assess the maturity level of strategic communication management in Brazilian startups

Use of AHP and grey fixed weight clustering to assess the maturity level of strategic communication management in Brazilian startups

A grey ordinal priority approach for healthcare waste disposal location selection

Applying claim reduction criteria in selecting efficient contractors with the two-step grey data envelopment analysis approach

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