# Toward Sustainable Development: Exploring the Value and Benefits of Digital Twins
## 4 Benefits of Digital Twin Deployments  
To summarize our results, we used the cloud of words technique, which is a free and online tool (worditout.com). This technique generates a visual representation of word frequency by extracting words from the source text and emphasizing those that appear more frequently. While there were 103 codes found in the original source, we set up the minimum frequency on two. Next, after careful analysis, we excluded four words (commissioning, failure, problem, and risk) due to their negative connotation, as well eight common words (analysis, cost, costs, data, interaction, model, sales, and time). Thus, the remaining set, as an input for visualization, includes 40 words. Figure 1 depicts the cloud of codes assigned, expected, and reported from Digital Twin deployment that were anticipated from our quantitative analysis. As one can notice, the benefits of deploying a Digital Twin are multifaceted (see Figure 2). The most frequent and common benefits include the following:  
* Maintenance (22.4%)--related to both operational and predictive analysis, enabling stakeholders to better understand the physical systems and actual processes;
* Cost reduction (16.3%)--refers to the better understanding of the product life-cycle loop, thus recognizing the points of materials and work overhead;
* Optimization (12.2%)--due to the discovery of the best solutions, incorporating the cost-effective resources while maximizing business value;
* Simulation performance (10.2%)--having the capability of handling multiple simultaneous and heterogeneous simulations and aims to model the processes' evolution by testing different settings of their key behaviors, characteristics, or relationships;
* Monitoring (8.2%)--refers to the regular surveillance over digitized assets, processes, and services over a period of time;
* Product life-cycle understanding (6.1%)--refers to the handling of a good as it moves through the various stages of its lifespan, bringing tangible effects of reducing system load, configuring and planning assets, and checking product feasibility;
* Assessment validation (6.1%)--concerns the quality review of the assessment process, including checking that the assessment tool produces consistent results;
* Performance evaluation (6.1%)--through analyzing, developing, and categorizing a set of alternative scenarios and models before their implementation within the physical system;
* Product design (6.1%)--enabling designers to develop and test more product variations with fewer resources engaged;
* Safety and risk mitigation (6.1%)--relates to the detection, assessment, understanding, and prevention of adverse events, side effects, or any other health-related issues. Last but not least, other benefits of a Digital Twin deployment pertained to innovation fostering [71], system security [72], and multidomain collaboration [73]. However, it seems that the most intriguing side of the Digital Twin implementations currently relates to the healthcare pathway involving human organs [74], such as the heart [75], liver [76], or lung [77]. In addition, Digital Twins can provide a realistic and safe environment for healthcare professionals to improve their skills by practicing complex medical procedures [78, 79]. Thus, the implementation of Digital Twin technology in healthcare has the potential to greatly improve patient outcomes and support patient safety [80]. Figure 1: The cloud of codes with regard to the benefits expected and documented from Digital Twin deployment. Note that while there are many adopters of digital life models, there is not yet a widely accepted consensus on the value and benefits of the Digital Twin as its first solutions are deployed and are still expanding across many industries on a global scale. Therefore, the calculated percentages should be treated with considerable caution.