Multitier Digital Twin Approach for Agile Supply Chain Management

Shevtshenko, Eduard; Mahmood, Kashif; Karaulova, Tatyana; Raji, Ibrahim Oluwole

doi:10.1115/imece2020-23760

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…The authors suggest measuring its performance using key indicators built based on the SCOR model and standardised supply chain performance metrics to keep an efficient and effective supply chain. It may be achieved by developing the SCOR database to establish the links between processes with performance metrics and best practices (Shevtshenko et al, 2020). The suggested approach can be used across industries using standard definitions for any supply chain process.…”

Section: Introductionmentioning

confidence: 99%

Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

Maas,

Karaulova,

Shevtshenko

et al. 2023

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High-level customer service, with improved quality at a lower cost, is imperative in today's global supply chain, where customers have myriad options across borders. This is in line with the primary objective of supply chain management, which is to enable and deliver high-level customer service with lower costs, reduce lead time, and improve the quality of products/services. The Supply Chain Operations Reference (SCOR) model based on KPI metrics enables an increase in the quality of products/services by monitoring and digitalising involved processes. The current paper suggests the structure of the SCOR database for Supply Chain process improvement by applying the best practices of the SCOR for Business Processes improvement. We recommend the Bayesian Belief Network (BBN) and Case-Based Reasoning (CBR) methods to estimate the influence of these improvements on Supply Chain efficiency through key performance indicators before implementation. Integrating the methods proposed in this article focuses on an approach that minimises supply chain failures, decreases failure elimination time, understands consumer needs, and offers more accurate price proposals and lead times to improve customer satisfaction. Accordingly, the integrated SCOR-based Business Process Modelling (BPM) was not previously combined with BBN to identify the most efficient ways to improve the reliability of a Supply Chain by applying best practices, which impacts the entire supply chain. Our research is limited to SME companies in electronics manufacturing, but our ambition is to develop a universal framework suitable for broader areas. The study aims to analyse how the customers see the company by combining the CDA (Customer Delivery Accuracy) and Customer Complaints measures and find the optimal way to improve business processes by applying best practices. Still, it is limited to SCOR reliability performance metrics.

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Section: Introductionmentioning

confidence: 99%

Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

Maas,

Karaulova,

Shevtshenko

et al. 2023

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“…The ultimate goal of DTs is to reduce the overall lifecycle cost of physical systems. In manufacturing systems, DTs enable us to better monitor, control, and optimize the processes [1][2][3][4]. The enabling technologies of manufacturing DTs include sensing [5], control [6], modeling and simulation [7], predictive maintenance [8], data analytics [9,10], lifecycle information management [11], and others.…”

Section: Introductionmentioning

confidence: 99%

“…The physical experiments and measurement results are shown in Sec. 4. The PBCS method demonstrated in monitoring the cooling process is shown in Sec.…”

Section: Introductionmentioning

confidence: 99%

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes

Shevtshenko

Wang

2021

Journal of Computing and Information Science in Engineering

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Sensors play an important role in monitoring manufacturing processes and update their digital twins. However, the data transmission bandwidth and sensor placement limitations in the physical systems may not allow us to collect the amount or the type of data that we wish. Recently, a physics based compressive sensing (PBCS) approach was proposed to monitor manufacturing processes and obtain high-fidelity information with the reduced number of sensors by incorporating physical models of processes in compressed sensing. It can recover and reconstruct complete three-dimensional temperature distributions based on some limited measurements. In this paper, a constrained orthogonal matching pursuit algorithm is developed for PBCS, where coherence exists between the measurement matrix and basis matrix. The efficiency of recovery is improved by introducing a boundary-domain reduction approach, which reduces the size of PBCS model matrices during the inverse operations. The improved PBCS method is demonstrated with the measurement of temperature distributions in the cooling and real-time printing processes of fused filament fabrication.

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“…2016); (Verdouw, 2021); (Shevtshenko et al 2020); (Reeves and Maple 2019) Proceedings of the International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, March 7-10, 2022…”

Section: Chain Organization and Coordinationmentioning

confidence: 99%

Digital Twins Application in The Post-Harvest Supply Chain of Fruits and Vegetables: A Systematic Review of the Literature

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The paper focuses on the use of digital twins as a tool to assist in the management of fruits and vegetables supply chains. Problems such as the perishability of food, the complicated coordination between the different actors in the chain, the lack of traceability of products and the demanding quality requirements for their final consumption are part of a long list of factors that must be considered for the analysis of this work. The methodology used was a systematic review of the literature related to the use of digital twins in supply chains. For this purpose, many papers were collected from the most important databases such as Scopus, Web of Science and Proquest. A total of 59 papers were obtained and used for the writing of this paper. For the analysis of information, the data obtained were categorized into factors and dimensions. The 3 factors identified are: pillars of the perishable food supply chain, technological component and finally organization and coordination of the chain. For the findings section, the VosViewer software was used. It was evidenced that digital twins bring a benefit to each factor mentioned in the study.

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Multitier Digital Twin Approach for Agile Supply Chain Management

Cited by 6 publications

References 23 publications

Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes

Digital Twins Application in The Post-Harvest Supply Chain of Fruits and Vegetables: A Systematic Review of the Literature

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