Download - Adaptability of Manufacturing Operations through Digital Twins

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Sachin GargMaria Fernanda Reyes

Adaptability of Manufacturing

Operations through Digital TwinsStudent: Maria Fernanda Reyes, SCM 2021

Student: Sachin Garg, SCM 2021

Advisor: Dr. Ozden Tozanli

Sponsor: Beverage Company

❑ Manufacturing companies globally face challenges in reacting

to rapidly changing customer demand and expectations while

achieving efficiencies in their SCs.

❑ Digital Twins (DTs) are a relatively new concept in the FMCG

industry.

❑ Very few studies have explored how individual supply chain

components adapt to achieve responsiveness and agility in

supply chains (SCs).

1. How can digital twins react to the complex environment and

create a dynamic adaptive mechanism in manufacturing

operations along SCs?

2. 2. How can digital twins help increase operational efficiency

and value sharing in a supply chain setting?

Methodology

Motivation / Background

Key Questions

Relevant Literature

❑ Choi, T. Y., Dooley, K. J., & Rungtusanatham, M. (2001). Supply networks

and complex adaptive systems: Control versus emergence. Journal of

Operations Management, 19(3), 351–366. https://doi.org/10.1016/S0272-

6963(00)00068-1

❑Madni, A., Madni, C., & Lucero, S. (2019). Leveraging Digital Twin

Technology in Model-Based Systems Engineering. Systems, 7(1), 7.

https://doi.org/10.3390/systems7010007

Results

Contributions

Research Fest 2021 Poster

Digital Twin Conceptual Model

➢ Evaluated the added-value of implementing digital twins in this

beverage company.

➢ Identified patterns for the adaptability of plants to help

increase operational efficiency and production performance.

➢ Established a data-driven learning system to analyze complex

and adaptive dynamics of the utilization of DTs in manufacturing

operations across SCs.

(Source Image : Digital Twin - Siemens Digital Logistics, n.d.)

Digital Twin Conceptual Model

Days of Supply per Distribution Center

❑ BeverageCo is under

pressure to build a more

efficient and agile supply

chain.

Process Flow