Digital twin implementation approach in supply chain processes

Integrating technology and data throughout value chains is critical for achieving efficiency. Smart technologies that enable innovation and continuous improvement are key to long-term success. Modelling and simulation of business processes help to better understand existing systems and optimize proc...

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Main Authors: Ihsane Abouzid, Rajaa Saidi
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Scientific African
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227623002776
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author Ihsane Abouzid
Rajaa Saidi
author_facet Ihsane Abouzid
Rajaa Saidi
author_sort Ihsane Abouzid
collection DOAJ
description Integrating technology and data throughout value chains is critical for achieving efficiency. Smart technologies that enable innovation and continuous improvement are key to long-term success. Modelling and simulation of business processes help to better understand existing systems and optimize processes. However, current approaches to digital transformation tend to focus solely on outcomes rather than the strategic methodology needed for successful implementation, resulting in differing valuations of solutions investments. This paper's significant contribution is introducing a new conceptual implementation method for digital twin technology in supply chain processes. This methodology enables technology and system evaluation at the process study stage, and a stylized business case demonstrates its application in a real-world scenario involving digital twin integration into order fulfilment in a manufacturing factory using Business Process Modelling Notation (BPMN) to simulate ''As-Is'' and ''To-Be'' processes.
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spelling doaj.art-cc3bdf34edfb4a50a831befe0276fbcd2023-09-24T05:16:12ZengElsevierScientific African2468-22762023-09-0121e01821Digital twin implementation approach in supply chain processesIhsane Abouzid0Rajaa Saidi1SI2M Laboratory, National Institute of Statistics and Applied Economics, Rabat, Morocco; Corresponding author.SI2M Laboratory, National Institute of Statistics and Applied Economics, Rabat, Morocco; LRIT associated unit to CNRST (URAC 29), Faculty of Sciences, Mohammed V University in Rabat, MoroccoIntegrating technology and data throughout value chains is critical for achieving efficiency. Smart technologies that enable innovation and continuous improvement are key to long-term success. Modelling and simulation of business processes help to better understand existing systems and optimize processes. However, current approaches to digital transformation tend to focus solely on outcomes rather than the strategic methodology needed for successful implementation, resulting in differing valuations of solutions investments. This paper's significant contribution is introducing a new conceptual implementation method for digital twin technology in supply chain processes. This methodology enables technology and system evaluation at the process study stage, and a stylized business case demonstrates its application in a real-world scenario involving digital twin integration into order fulfilment in a manufacturing factory using Business Process Modelling Notation (BPMN) to simulate ''As-Is'' and ''To-Be'' processes.http://www.sciencedirect.com/science/article/pii/S2468227623002776Digital twinIoTModellingSimulationBPMNBusiness process improvement
spellingShingle Ihsane Abouzid
Rajaa Saidi
Digital twin implementation approach in supply chain processes
Scientific African
Digital twin
IoT
Modelling
Simulation
BPMN
Business process improvement
title Digital twin implementation approach in supply chain processes
title_full Digital twin implementation approach in supply chain processes
title_fullStr Digital twin implementation approach in supply chain processes
title_full_unstemmed Digital twin implementation approach in supply chain processes
title_short Digital twin implementation approach in supply chain processes
title_sort digital twin implementation approach in supply chain processes
topic Digital twin
IoT
Modelling
Simulation
BPMN
Business process improvement
url http://www.sciencedirect.com/science/article/pii/S2468227623002776
work_keys_str_mv AT ihsaneabouzid digitaltwinimplementationapproachinsupplychainprocesses
AT rajaasaidi digitaltwinimplementationapproachinsupplychainprocesses