Intelligent Supply Chains Through Implementation of Digital Twins

Kulaç, Oray; Ekren, Banu Yetkin; Toy, Ayhan Özgür

doi:10.1007/978-3-031-09173-5_109

Cited by 3 publications

(1 citation statement)

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“…Its purpose is to aid supply chain practitioners and researchers in recognizing challenges and areas of potential research related to DTs. Kulac et al [15] presented enabling technologies and application sectors of DTs for supply chain operations. The authors suggested the value of DTs can be divided in three main functions: (1) descriptive, which means providing end-to-end visibility of the supply chain status; (2) analytical and predictive, which exploits capabilities of simulation models for scenario analysis; (3) diagnostic, I summarises the aforementioned contributions that reviewed the literature on DTs for supply chains.…”

Section: Literature Reviewsmentioning

confidence: 99%

Digital Twins for Supply Chains: Current Outlook and Future Challenges

Lugaresi¹,

Jemaı̈²,

Şahin³

2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

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The growing complexity of worldwide supply chain networks, together with the increased occurrence of disruptive events stress the need for a focused introduction of digital support tools. Digital twins have encountered an increased interest from both industry and research for their capability to provide useful services in the short term. The number of contributions on digital twin-based methodologies for system design and production planning and control experienced a significant increase, while applications to supply chain management remain scarce. However, the recent investments in digitization and the concrete need for short-term planning capabilities mean digital twins can effectively aid enterprises in the management of their value chains. This paper provides an overview of the existing contributions regarding digital twins for supply chains, and gathers useful insights on both the current level of development and the future research challenges.

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Section: Literature Reviewsmentioning

confidence: 99%

Digital Twins for Supply Chains: Current Outlook and Future Challenges

Lugaresi¹,

Jemaı̈²,

Şahin³

2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

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Digital Twins for Decision Making in Supply Chains

Kulaç

Ekren

Toy

2023

Lecture Notes in Management and Industrial Engineering

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This paper studies utilization of digital twins (DTs) as a decision support tool in supply chains (SCs) by providing a framework. DT is an emerging technology-based modelling approach reflecting virtual representation of an object or system that can help organizations monitor operations, perform predictive analytics, and improve their processes. For instance, it may provide a digital replica of operations in a factory, communications network, or the flow of goods through a SC system. In this paper, by focusing on SC systems, we explore the critical decisions in SCs and their related data to track, to make right decisions within DTs. We introduce six main functions in SCs and define frequent decisions that can be taken under those functions. After defining the required decisions, we also identify which data/information would help to make correct decisions within those DTs.

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