Study
Innovation & DesignRecentModerate effect

Digitalization in Manufacturing: A Cost-Benefit Clarity Gap

While digital technologies are widely adopted in manufacturing, a clear understanding of their cost-benefit analysis is often lacking, despite numerous theoretical investigations.

Journal of Manufacturing Systems · 2023

01

Key Findings

  • 01A significant gap exists in the clarity of cost-benefit analyses for digital technology adoption in manufacturing.
  • 02Existing literature reviews often lack a focus on real-life case studies, hindering practical understanding.
  • 03Categorization of digital technologies, their application levels, performance metrics, and economic benefits is crucial for evaluation.
02

Application

Design takeaway

When proposing or implementing digital technologies in manufacturing, always include a thorough cost-benefit analysis grounded in real-world data and measurable outcomes.

How to apply

Before investing in new digital manufacturing technologies, conduct a detailed cost-benefit analysis using data from similar, real-world implementations. Define clear Key Performance Indicators (KPIs) that directly link technology adoption to economic gains.

Project actions

  • 01When researching a new technology, look for case studies that include financial data.
  • 02Consider how you will measure the economic impact of your design choices.
  • 03Think about the long-term costs and benefits, not just the initial investment.
03

Method & Evidence

AimWhat is the current state of understanding regarding the cost-benefit analysis of digital technology adoption in real-life manufacturing case studies?
MethodSystematic Literature Review
ProcedureThe researchers systematically reviewed 229 real-life case studies of digital technology implementation in manufacturing, categorizing them by technology type, application level, performance measurement, and economic benefit analysis.
Sample229 case studies
ContextManufacturing industry, digital transformation

Variables

IVAdoption of digital technologies in manufacturing
DVClarity of cost-benefit analysis, reported economic benefits
CVType of digital technology, level of application, performance measurement methods
04

Strengths & Limitations

Strengths

  • +Focus on real-life case studies provides practical relevance.
  • +Systematic review methodology ensures a comprehensive overview of existing literature.

Limitations

It can be difficult to find real-world case studies with complete and transparent financial data. The economic benefits of digital technologies can also be influenced by many external factors not always detailed in case studies.

Reliability & validity

The reliability of the findings depends on the quality and consistency of reporting within the reviewed case studies. Validity is enhanced by the systematic approach to selection and categorization, but may be limited by publication bias or the proprietary nature of some industrial data.

Think critically

Given the emphasis on cost-benefit analysis, how might the pursuit of purely economic gains potentially compromise other important design considerations such as user well-being, environmental impact, or long-term system resilience?

05

Design Principles

"Technological adoption should be driven by demonstrable economic value and strategic benefit, not just by novelty."

Designers and engineers need to move beyond simply implementing new technologies to rigorously evaluating their economic viability and tangible benefits. This requires a shift towards data-driven decision-making and a focus on measurable outcomes to justify investment and optimize resource allocation.

06

What This Means for Your Design

Even though companies are using lots of new digital tools in factories, it's hard to tell exactly how much money they save or make from them because the studies aren't always clear about the costs and benefits.

How to use in your project

  • 1.Use this research to justify the need for a thorough cost-benefit analysis in your own design project, especially when dealing with new technologies.
  • 2.Cite this paper when discussing the challenges of evaluating the economic impact of innovation in manufacturing.
07

Add to My Project

08

Quick Cite

(2023). The adoption of digital technologies in the manufacturing world and their evaluation: A systematic review of real-life case studies and future research agenda. Journal of Manufacturing Systems. https://doi.org/10.1016/j.jmsy.2023.05.009 Retrieved from https://designdex.org/study/1a9434cc-43f6-41a4-838b-e9c24d0af3cf/digitalization-in-manufacturing-a-cost-benefit-clarity-gap

Paragraph starter

The adoption of digital technologies in manufacturing is widespread, yet a significant challenge remains in clearly articulating their cost-benefit advantages through real-life case studies. This systematic review highlights a gap in the literature concerning comprehensive economic evaluations, underscoring the need for design projects to incorporate robust financial analysis alongside technological implementation to ensure tangible returns on investment.

09

Source

Journal of Manufacturing Systems

The adoption of digital technologies in the manufacturing world and their evaluation: A systematic review of real-life case studies and future research agenda

journal · 2023

View source

Questions about this research

What does the research say about digitalization in manufacturing: a cost-benefit clarity gap?
When proposing or implementing digital technologies in manufacturing, always include a thorough cost-benefit analysis grounded in real-world data and measurable outcomes. Evidence: Journal of Manufacturing Systems (2023).
Why does "Digitalization in Manufacturing: A Cost-Benefit Clarity Gap" matter for design?
Designers and engineers need to move beyond simply implementing new technologies to rigorously evaluating their economic viability and tangible benefits. This requires a shift towards data-driven decision-making and a focus on measurable outcomes to justify investment and optimize resource allocation.
How can designers apply this research?
When proposing or implementing digital technologies in manufacturing, always include a thorough cost-benefit analysis grounded in real-world data and measurable outcomes.
What were the main findings?
A significant gap exists in the clarity of cost-benefit analyses for digital technology adoption in manufacturing.. Existing literature reviews often lack a focus on real-life case studies, hindering practical understanding.. Categorization of digital technologies, their application levels, performance metrics, and economic benefits is crucial for evaluation.
What research method was used?
Systematic Literature Review with 229 case studies.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2023 journal from Journal of Manufacturing Systems.
What should I do differently in my next project?
Before investing in new digital manufacturing technologies, conduct a detailed cost-benefit analysis using data from similar, real-world implementations. Define clear Key Performance Indicators (KPIs) that directly link technology adoption to economic gains.
What are the limitations?
The review's findings are dependent on the quality and availability of data within the selected case studies, and the categorization might not capture all nuances of complex implementations.
Is there evidence that digital technologies affects design outcomes?
Despite widespread adoption of digital technologies in manufacturing, there's a notable lack of clear, evidence-based cost-benefit analyses derived from real-world implementations, suggesting a need for more practical evaluation frameworks. Designers and engineers need to move beyond simply implementing new technologie Source: Journal of Manufacturing Systems (2023).
Where does this technologies manufacturing research apply?
Manufacturing industry, digital transformation It sits within innovation & design research on designdex.org.

Related research topics

digital technologies design research · evidence on digital technologies · does digital technologies improve design outcomes · technologies manufacturing studies for designers · digital technologies and technologies manufacturing findings · innovation & design research evidence