Multitier digital twin approach for agile supply chain management

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Multitier Digital Twin approach for agile supply chain management validated in the research lab. In the long run, the solution will ultimately help to reduce resources costs in production processes and throughput time of the supply chain. The Digital Twin approach can be applied in the manufacturing company and the supply chain and makes recommendations for making changes to the physical environment to meet the requirements of various specific orders. The Multitier Digital Twin approach is validated by modelling four tiers of Small and Medium Enterprise (SME) company: business processes, operations workflow processes and work cells operations. The simulation study is performed to evaluate the achieved results. The guidelines are developed to connect and integrate business process tier models with operations workflow and work cell tiers models. The authors defend that the current research will help to create new digital solutions to increase manufacturing flexibility by moving toward the company's strategic goals directly from the offer preparation stage. The authors have validated the Digital Twin approach for agile supply chain management in the fields of manufacturing. Nevertheless, the proposed approach is adaptable to other fields also, whereas the focal player or project owner selects the best KPIs that support the implementation of the chosen strategy. The paper includes a feasibility case study for the approval of findings, where small and medium enterprise (SMEs) from the manufacturing field business processes are connected to manufacturing processes and work cell models to achieve a common strategic goal of the company.

Original languageEnglish
Title of host publicationAdvanced Manufacturing
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791884492
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventASME 2020 International Mechanical Engineering Congress and Exposition, IMECE 2020 - Virtual, Online
Duration: 16 Nov 202019 Nov 2020

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume2B-2020

Conference

ConferenceASME 2020 International Mechanical Engineering Congress and Exposition, IMECE 2020
CityVirtual, Online
Period16/11/2019/11/20

Keywords

  • Business process modelling
  • Digital twin
  • Supply chain management

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