Short answer
Integrate a multi-objective economic evaluation framework into the design and implementation phases of industrial smartization projects to ensure alignment with cost, performance, and sustainability objectives.
- Field
- Commercial Production
- Source
- Sustainability (2023)
- Method
- Statistical analysis and economic-mathematical modelling
- Evidence
- Strong effect
An economic-mathematical model can be used to optimize digital transformation and smartization projects in industrial enterprises by simultaneously minimizing costs, deviations from planned business indicators, and production rhythm disruptions, thereby enhancing sustainability. This commercial production research insight is drawn from a 2023 study published in Sustainability. Using Statistical analysis and economic-mathematical modelling, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate a multi-objective economic evaluation framework into the design and implementation phases of industrial smartization projects to ensure alignment with cost, performance, and sustainability objectives.
Economic-Mathematical Model Optimizes Smartization Projects for Industrial Sustainability
An economic-mathematical model can be used to optimize digital transformation and smartization projects in industrial enterprises by simultaneously minimizing costs, deviations from planned business indicators, and production rhythm disruptions, thereby enhancing sustainability.
Sustainability · 2023
Key Findings
- 01A matrix for selecting indicators to diagnose the results of digital transformation smartization projects was proposed.
- 02A two-level economic evaluation model was developed to assess the effectiveness of these projects at various stages.
Application
Design takeaway
Integrate a multi-objective economic evaluation framework into the design and implementation phases of industrial smartization projects to ensure alignment with cost, performance, and sustainability objectives.
How to apply
When designing or evaluating a smart factory initiative, define clear metrics for cost, productivity deviations, and production flow stability, and use an optimization model to balance these objectives.
Project actions
- 01When proposing a new product or system, consider developing a simple cost-benefit analysis that includes potential impacts on efficiency and resource use.
- 02Think about how to measure the success of your design beyond just functionality, including economic and environmental factors.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Development of a practical, multi-objective evaluation model.
- +Empirical testing of the model in real industrial settings.
Limitations
The complexity of real-world industrial data and the difficulty in isolating the exact impact of a single smartization project can be challenging to replicate in a simplified study.
Reliability & validity
The study's reliability is supported by statistical tests for multicollinearity and heteroskedasticity. Validity is enhanced by testing the model in actual industrial enterprises, suggesting practical relevance.
Think critically
How might the 'deviation from planned business indicators' and 'production rhythm disruptions' be quantified and measured in a practical design project setting?
Design Principles
"Holistic project evaluation should consider economic viability, operational efficiency, and sustainability outcomes concurrently."
Implementing digital transformation and smartization requires significant investment. A robust evaluation model is essential to ensure these projects deliver tangible benefits and contribute to long-term sustainability goals, justifying the investment and guiding future strategic decisions.
What This Means for Your Design
This study shows how to create a financial and operational plan for 'smart' factory upgrades that makes sure they save money, improve how things are made, and are good for the environment.
How to use in your project
- 1.Reference this study when discussing the economic justification or sustainability assessment of a proposed design solution, particularly for industrial or manufacturing contexts.
Add to My Project
Quick Cite
Paragraph starter
The evaluation of industrial digital transformation projects can be significantly enhanced by employing economic-mathematical models that optimize for cost minimization, reduced deviations from planned business indicators, and minimized production rhythm disruptions, as demonstrated by Bashynska et al. (2023). Such models provide a quantitative framework for assessing project effectiveness and sustainability.
Source
Sustainability
Assessing the Outcomes of Digital Transformation Smartization Projects in Industrial Enterprises: A Model for Enabling Sustainability
journal · 2023
View sourceQuestions About This Research
- What does the research say about economic-mathematical model optimizes smartization projects for industrial sustainability?
- Integrate a multi-objective economic evaluation framework into the design and implementation phases of industrial smartization projects to ensure alignment with cost, performance, and sustainability objectives. Evidence: Sustainability (2023).
- Why does "Economic-Mathematical Model Optimizes Smartization Projects for Industrial Sustainability" matter for design?
- Implementing digital transformation and smartization requires significant investment. A robust evaluation model is essential to ensure these projects deliver tangible benefits and contribute to long-term sustainability goals, justifying the investment and guiding future strategic decisions.
- How can designers apply this research?
- Integrate a multi-objective economic evaluation framework into the design and implementation phases of industrial smartization projects to ensure alignment with cost, performance, and sustainability objectives.
- What were the main findings?
- A matrix for selecting indicators to diagnose the results of digital transformation smartization projects was proposed.. A two-level economic evaluation model was developed to assess the effectiveness of these projects at various stages.
- What research method was used?
- Statistical analysis and economic-mathematical modelling.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from Sustainability.
- What should I do differently in my next project?
- When designing or evaluating a smart factory initiative, define clear metrics for cost, productivity deviations, and production flow stability, and use an optimization model to balance these objectives.
- What are the limitations?
- The model's effectiveness may depend on the accuracy and availability of data from industrial enterprises, and its applicability might vary across different industrial sectors or project complexities.