An internet of things-based smart warehouse infrastructure: design and application

Affia, Ifadhila; Aamer, Ammar Mohamed

doi:10.1108/jstpm-08-2020-0117

Cited by 24 publications

(28 citation statements)

References 34 publications

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“…[ 19 ]. In this case, the commonly used functions include a discrete error analysis function, combined covariant function, and so on [ 20 , 21 ]. The method used in the standard is a comprehensive evaluation function.…”

Section: Methodsmentioning

confidence: 99%

Innovative Mode of Logistics Management of “Internet of Things + Blockchain”-Integrated E-Commerce Platform

Yujie

Qiuxia

2022

Computational Intelligence and Neuroscience

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The innovation of logistics management mode plays a great role in promoting the operation timeliness of an e-commerce platform. The question of how to realize the research on the innovation mode of logistics management of the e-commerce platform with the integration of “Internet of things + blockchain” is the current development trend. Based on this, this paper studies the influencing factors of logistics management of an e-commerce platform under the discrete analysis strategy of “Internet of things + blockchain.” First, the logistics management analysis model of an e-commerce platform integrating “Internet of things + blockchain” is proposed. The dynamic correlation function is used to simulate the logistics information in the e-commerce platform. Through the extreme value of the dynamic correlation function curve in the detection process, the operation signal is restored, and then its logistics management is analyzed. Second, the influencing factors in the logistics management of the e-commerce platform are analyzed, comprehensive analysis is done by using the “Internet of things + blockchain” integration model, the dynamic logistics information in the operation of the e-commerce platform is accurately gathered, and the multidimensional hierarchical method is used for quality evaluation. Finally, the effectiveness of the logistics management analysis model of the e-commerce platform is verified by many experiments.

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Section: Methodsmentioning

confidence: 99%

Innovative Mode of Logistics Management of “Internet of Things + Blockchain”-Integrated E-Commerce Platform

Yujie

Qiuxia

2022

Computational Intelligence and Neuroscience

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“…For instance, Wang (2016) suggests potential cost savings and a reduction in inventory costs. Some other scholars offer empirical studies to corroborate their views (Affia and Aamer, 2021;Doma nski, 2019;Gialos and Zeimpekis, 2020;Hamdy et al, 2018;Kekana et al, 2020;Krishnan and Wahab, 2019;Lee et al, 2018;Plakas et al, 2020;Zhang et al, 2021). However, it is necessary to critically assess the benefits directly associated with the technologies mentioned in the Logistics 4.0 literature to clearly point out whether and how they add something new to the technologies already adopted in warehouses, i.e.…”

Section: Benefits (Rq2)mentioning

confidence: 99%

Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers

Perotti

Santacruz

Bremer

et al. 2022

IJLM

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PurposeIn the last decade, the Industry 4.0 paradigm had started to rapidly expand to the logistics domain. However, Logistics 4.0 is still in an early adoption stage: some areas such as warehousing are still exploring its applicability, and the technological implementation of this paradigm can become fuzzy. This paper addresses this gap by examining the relationship among influencing factors, barriers, and benefits of Logistics 4.0 technologies in warehousing contexts.Design/methodology/approachStarting from a Systematic Literature Review (SLR) approach with 56 examined documents published in scientific journals or conference proceedings, a conceptual framework for Logistics 4.0 in warehousing is proposed. The framework encompasses multiple aspects related to the potential adopter’s decision-making process.FindingsInfluencing factors toward adoption, achievable benefits, and possible hurdles or criticalities have been extensively analyzed and structured into a consistent picture. Company’s digital awareness and readiness result in a major influencing factor, whereas barriers and criticalities are mostly technological, safety and security, and economic in nature. Warehousing process optimization is the key benefit identified.Originality/valueThis paper addresses a major gap since most of the research has focused on specific facets, or adopted the technology providers’ perspective, whereas little has been explored in warehousing from the adopters’ view. The main novelty and value lie in providing both academics and practitioners with a thorough view of multiple facets to be considered when approaching Logistics 4.0 in logistics facilities.

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“…The findings of the study indicate the first critical components to design an IoT-based smart warehouse infrastructure. Second, essential factors contribute to the successful implementation of IoT-based smart warehouse infrastructure (Affia and Aamer, 2021).…”

Section: Key (Industry 4 or I4 Or I40 Or Industry 40) And ( Protection Or Safety Or Security Or Resilience Or Vulnerability)mentioning

confidence: 99%

The Role of Integral Model of Critical Infrastructure Safety in Industry 4.0

Wiśniewski¹

2021

ERSJ

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Purpose: This paper aims to create a dedicated tool for managing the level of availability of services delivered by critical infrastructure (CI) facilities, which will affect the Sustainable Development Goals. The paper established a link between sustainability, Industry 4.0, and critical infrastructure. The literature analysis has indicated that the security of Industry 4.0 is discussed almost exclusively in the perspective of cyber security. Design/Methodology/Approach: Verification of the tool was carried out based on simulations and computational experience using data PKN ORLEN Refinery Inc. Findings: As a result of the work carried out, an Integral Model of Critical Infrastructure Safety (IMCIS) was obtained, which allows us to present CI's current characteristics. It was established that the canon of characterization of CI objects consists of a set of resources, a set of functionalities, a set of threats, a set of safeguards, a set of threat dependencies, and a set of dependencies of objects recognized as CI. Practical Implications: A universal application of the IMCIS is to estimate the level of risk before and after implementing safeguards and generating adverse event scenarios. The identified threats are the decision-making areas of the decision problem, whose solution is indicated by a set of safeguards reducing the risk level to an acceptable level. Originality/Value: The solution can be used to identify a set of safeguards that, on the one hand, will reduce the cost of the business operator to a minimum and, on the other hand, achieve the required level of availability of CI functionality. In addition, IMCIS allows analyzing all threats that may affect the infrastructure of Industry 4.0, taking into account many independent decision-making centers.

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An internet of things-based smart warehouse infrastructure: design and application

Cited by 24 publications

References 34 publications

Innovative Mode of Logistics Management of “Internet of Things + Blockchain”-Integrated E-Commerce Platform

Innovative Mode of Logistics Management of “Internet of Things + Blockchain”-Integrated E-Commerce Platform

Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers

The Role of Integral Model of Critical Infrastructure Safety in Industry 4.0

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