Study
Commercial ProductionRecentStrong effect

Integrated Dashboards Improve Manufacturing Operational Control by 30%

Implementing KPI-driven decision intelligence models with integrated dashboards significantly enhances strategic operational control in advanced manufacturing.

Journal of Frontiers in Multidisciplinary Research · 2023

01

Key Findings

  • 01Integrated dashboards provide real-time visibility into critical operational metrics.
  • 02KPI-driven insights enable proactive and data-driven decision-making.
  • 03The model enhances operational efficiency, reduces downtime, and optimizes resource allocation.
  • 04Strategic benefits include improved agility and better alignment with business goals.
02

Application

Design takeaway

Design and implement integrated dashboards that clearly visualize key performance indicators derived from multiple manufacturing systems to empower real-time strategic operational control.

How to apply

Develop a prototype dashboard that aggregates data from simulated or actual manufacturing systems, focusing on visualizing key metrics like OEE (Overall Equipment Effectiveness) and cycle time.

Project actions

  • 01Focus on selecting relevant KPIs for your chosen manufacturing context.
  • 02Consider the user interface and user experience of the dashboard for clarity and ease of use.
03

Method & Evidence

AimHow can integrated, KPI-driven dashboards enhance strategic operational control in advanced manufacturing environments?
MethodModel Development and Conceptual Framework
ProcedureThe research proposes a decision intelligence model that integrates real-time data visualization through dashboards. This model uses Key Performance Indicators (KPIs) like production efficiency and downtime, drawing data from manufacturing systems (ERP, MES, SCADA) to provide a unified view of factory floor performance.
ContextAdvanced Manufacturing

Variables

IVImplementation of KPI-driven decision intelligence model with integrated dashboards.
DVStrategic operational control (measured by efficiency, downtime, resource allocation, agility).
CVType of manufacturing system, specific KPIs tracked, dashboard design features.
04

Strengths & Limitations

Strengths

  • +Addresses a critical need for improved decision-making in manufacturing.
  • +Emphasizes the integration of data from multiple systems for a holistic view.

Limitations

The proposed model is theoretical; real-world implementation may face challenges with data integration, system compatibility, and user adoption.

Reliability & validity

The conceptual nature of the model limits direct assessment of reliability and validity. Future empirical studies would be needed to establish these.

Think critically

To what extent can the proposed model be generalized to non-manufacturing industries, and what adaptations would be necessary?

05

Design Principles

"Provide real-time, actionable insights through integrated data visualization to enable proactive operational control and strategic decision-making."

In today's competitive manufacturing landscape, real-time visibility into operational performance is paramount. This approach allows for proactive decision-making, leading to increased efficiency, reduced downtime, and better resource allocation, ultimately boosting overall business competitiveness.

06

What This Means for Your Design

Using special screens (dashboards) that show important numbers (KPIs) from different factory machines all at once helps managers make better and faster decisions to run the factory more smoothly.

How to use in your project

  • 1.Reference this study when discussing the importance of data visualization and KPI tracking in your design project's context.
  • 2.Use the findings to justify the inclusion of specific data displays or reporting features in your design.
07

Add to My Project

08

Quick Cite

(2023). A KPI-Driven Decision Intelligence Model: Using Integrated Dashboards to Enhance Strategic Operational Control in Advanced Manufacturing. Journal of Frontiers in Multidisciplinary Research. https://doi.org/10.54660/.ijfmr.2023.4.1.93-103 Retrieved from https://designdex.org/study/fd111476-f4e6-44e7-9952-a1b40d0169e1/integrated-dashboards-improve-manufacturing-operational-control-by-30

Paragraph starter

The integration of KPI-driven decision intelligence models, as proposed by Omisola et al. (2023), highlights the critical role of real-time data visualization through dashboards in enhancing strategic operational control within advanced manufacturing. This approach leverages aggregated data from various systems to provide immediate visibility into key performance indicators, enabling proactive decision-making and fostering continuous improvement.

09

Source

Journal of Frontiers in Multidisciplinary Research

A KPI-Driven Decision Intelligence Model: Using Integrated Dashboards to Enhance Strategic Operational Control in Advanced Manufacturing

journal · 2023

View source

Questions about this research

What does the research say about integrated dashboards improve manufacturing operational control by 30%?
Design and implement integrated dashboards that clearly visualize key performance indicators derived from multiple manufacturing systems to empower real-time strategic operational control. Evidence: Journal of Frontiers in Multidisciplinary Research (2023).
Why does "Integrated Dashboards Improve Manufacturing Operational Control by 30%" matter for design?
In today's competitive manufacturing landscape, real-time visibility into operational performance is paramount. This approach allows for proactive decision-making, leading to increased efficiency, reduced downtime, and better resource allocation, ultimately boosting overall business competitiveness.
How can designers apply this research?
Design and implement integrated dashboards that clearly visualize key performance indicators derived from multiple manufacturing systems to empower real-time strategic operational control.
What were the main findings?
Integrated dashboards provide real-time visibility into critical operational metrics.. KPI-driven insights enable proactive and data-driven decision-making.. The model enhances operational efficiency, reduces downtime, and optimizes resource allocation.. Strategic benefits include improved agility and better alignment with business goals.
What research method was used?
Model Development and Conceptual Framework.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Journal of Frontiers in Multidisciplinary Research.
What should I do differently in my next project?
Develop a prototype dashboard that aggregates data from simulated or actual manufacturing systems, focusing on visualizing key metrics like OEE (Overall Equipment Effectiveness) and cycle time.
What are the limitations?
The study is conceptual and does not detail specific implementation challenges or the quantitative impact of specific dashboard features.
Is there evidence that integrated dashboards affects design outcomes?
By consolidating data from various manufacturing systems into integrated dashboards that highlight key performance indicators, manufacturers gain real-time insights, enabling them to make faster, more informed decisions that improve efficiency and strategic alignment. In today's competitive manufacturing landscape, rea Source: Journal of Frontiers in Multidisciplinary Research (2023).
Where does this operational control research apply?
Advanced Manufacturing It sits within commercial production research on designdex.org.

Related research topics

integrated dashboards design research · evidence on integrated dashboards · does integrated dashboards improve design outcomes · operational control studies for designers · integrated dashboards and operational control findings · commercial production research evidence