Multi-criteria Intelligent Algorithm for Supply Chain Management

Jemmali, Mahdi; Melhim, Loai Kayed B.; Alharbi, Mafawez

doi:10.14569/ijacsa.2019.0100442

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…Jemmali et al [105] present an intelligent algorithm aimed at addressing supplier selection challenges. The proposed algorithm utilizes a set of determinants and sophisticated formulas to convert predefined preferences into quantitative measurements.…”

Section: Internet Of Thingsmentioning

confidence: 99%

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Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

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Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain management.

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Section: Internet Of Thingsmentioning

confidence: 99%

“…Jemmali et al [105] discuss the application of a multi-criteria intelligent algorithm for efficient supply chain management. In the traditional model of the supply chain system, the process of choosing suitable suppliers of commodities is a difficult process due to the wide range of suppliers in the fields.…”

Section: Artificial Intelligencementioning

confidence: 99%

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

View full text Add to dashboard Cite

show abstract

“…Jemmali et al (2019) compile a multi-criterial intellectual algorithm for managing the supply chains. Almuiet and Al-Zawahra (2019) suggest using an automatized structure of receipt of knowledge for managing the supply chains, based on hybrid character of discussions based on specific cases and intellectual agent network.…”

Section: Literature Reviewmentioning

confidence: 99%

Competition between human and artificial intellectual capital in production and distribution in Industry 4.0

Gashenko

Khakhonova

Orobinskaya

et al. 2020

JIC

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PurposeThe purpose of the research is to study the consequences of total (comprehensive) automatization of entrepreneurship for interested parties through the prism of competition human and artificial intellectual capital in production and distribution in Industry 4.0.Design/methodology/approachThe research is conducted with application of scenario analysis, regression analysis, imitation modeling, forecasting and non-linear multi-parametric optimization with the simplex method.FindingsThe authors perform scenario modeling of competition between human and artificial intellectual capital in production and distribution in Industry 4.0 and offer recommendations for pro-active management of competition between human and artificial intellectual capital in production and distribution in Industry 4.0.Originality/valueContrary to the existing approach to studying competition between human and artificial intellectual capital in Industry 4.0, automatization of distribution, not production, is most preferable. This shows increase of the value of human intellectual capital in distribution during its automatization based on AI. This is an unprecedented and breakthrough conclusion for the modern economic science. It allows creating a completely new direction of research of competition between human and artificial intellectual capital in production and distribution in Industry 4.0, in which optimization of social consequences is achieved not by means of restraint of automatization but by means of its stimulation. The key condition is stimulation of automatization of distribution with limited automatization of production. Based on this conclusion, it is recommended to continue research in continuation of the presented work.

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Multi-criteria Intelligent Algorithm for Supply Chain Management

Cited by 2 publications

References 20 publications

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Competition between human and artificial intellectual capital in production and distribution in Industry 4.0

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