Real-time Cost Prediction Model Integrates Engineering and Finance for Intelligent Manufacturing
A novel dynamical cost prediction and control (CPC) model translates manufacturing data into financial metrics, enabling cross-departmental consensus on production decisions.
International Journal of Network Dynamics and Intelligence · 2023
Key Findings
- 01The proposed CPC model can translate manufacturing data (physical and operational) into financial metrics.
- 02The CPC model facilitates consensus on production decisions among different enterprise departments with varying priorities.
- 03The model provides real-time prediction of possible manufacturing costs.
Application
Design takeaway
Incorporate a financial translation layer into manufacturing performance monitoring systems to foster better inter-departmental communication and decision-making.
How to apply
When designing or improving manufacturing processes, integrate a system that maps operational metrics (e.g., cycle time, defect rate, energy consumption) to their corresponding financial costs.
Project actions
- 01Consider how to measure and track key performance indicators relevant to both operational efficiency and cost.
- 02Explore methods for translating technical performance data into financial outcomes for your design project.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Novelty of the CPC model in translating operational data to financial metrics.
- +Demonstrated practical application through a case study.
Limitations
The complexity of real-world manufacturing systems can make it difficult to accurately capture all cost drivers. The model's effectiveness may vary depending on the specific industry and the data available.
Reliability & validity
The reliability of the model depends on the consistency of data input and the stability of the underlying manufacturing processes. Validity is supported by the case study demonstrating its ability to facilitate consensus, but broader validation across different contexts would strengthen it.
Think critically
How might the 'environmental impact' KPI be translated into financial metrics in a way that is universally accepted across different departments?
Design Principles
"Quantify operational performance in financial terms to align diverse stakeholder objectives."
In complex intelligent manufacturing environments, aligning engineering and financial objectives is crucial for cost control. This model provides a unified language, facilitating better decision-making and resource allocation by bridging the gap between operational performance and financial outcomes.
What This Means for Your Design
This study shows how to create a system that turns factory performance data (like how fast things are made or how many defects there are) into money figures. This helps everyone in the company, from engineers to finance people, understand the costs and agree on the best way to produce things.
How to use in your project
- 1.Reference this study when discussing the importance of cost management in manufacturing and the need for integrated decision-making processes.
Add to My Project
Quick Cite
(2023). Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective. International Journal of Network Dynamics and Intelligence. https://doi.org/10.53941/ijndi.2023.100016 Retrieved from https://designdex.org/study/7a1ece05-adbb-4a9a-b497-662a1c63ce53/real-time-cost-prediction-model-integrates-engineering-and-finance-for-intelligent-manufacturing
Paragraph starter
The research by Geng et al. (2023) highlights the critical need for integrated cost prediction and control in intelligent manufacturing. Their development of a dynamical cost prediction and control (CPC) model, which translates key performance indicators into financial metrics, offers a valuable approach for aligning engineering and financial objectives. This methodology is relevant to design projects aiming to optimize production by providing a common language for cross-departmental decision-making and ensuring cost-effectiveness alongside quality.
Source
International Journal of Network Dynamics and Intelligence
Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective
journal · 2023
View sourceQuestions about this research
- What does the research say about real-time cost prediction model integrates engineering and finance for intelligent manufacturing?
- Incorporate a financial translation layer into manufacturing performance monitoring systems to foster better inter-departmental communication and decision-making. Evidence: International Journal of Network Dynamics and Intelligence (2023).
- Why does "Real-time Cost Prediction Model Integrates Engineering and Finance for Intelligent Manufacturing" matter for design?
- In complex intelligent manufacturing environments, aligning engineering and financial objectives is crucial for cost control. This model provides a unified language, facilitating better decision-making and resource allocation by bridging the gap between operational performance and financial outcomes.
- How can designers apply this research?
- Incorporate a financial translation layer into manufacturing performance monitoring systems to foster better inter-departmental communication and decision-making.
- What were the main findings?
- The proposed CPC model can translate manufacturing data (physical and operational) into financial metrics.. The CPC model facilitates consensus on production decisions among different enterprise departments with varying priorities.. The model provides real-time prediction of possible manufacturing costs.
- What research method was used?
- Model Development and Case Study.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from International Journal of Network Dynamics and Intelligence.
- What should I do differently in my next project?
- When designing or improving manufacturing processes, integrate a system that maps operational metrics (e.g., cycle time, defect rate, energy consumption) to their corresponding financial costs.
- What are the limitations?
- The study focuses on a specific case (optoelectronic device assembly line), and the generalizability of the model to other manufacturing sectors may require further validation. The model's accuracy is dependent on the quality and comprehensiveness of the input key performance indicators.
- Is there evidence that cost prediction affects design outcomes?
- The research introduces a model that converts manufacturing performance data into financial terms, helping different company departments agree on production strategies by providing a shared understanding of costs. In complex intelligent manufacturing environments, aligning engineering and financial objectives is crucia Source: International Journal of Network Dynamics and Intelligence (2023).
- Where does this intelligent manufacturing research apply?
- Intelligent manufacturing, specifically assembly lines in optoelectronic device production. It sits within commercial production research on designdex.org.
Related research topics
cost prediction design research · evidence on cost prediction · does cost prediction improve design outcomes · intelligent manufacturing studies for designers · cost prediction and intelligent manufacturing findings · commercial production research evidence