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A Q&A with Bianca Maria Colosimo, Editor in Chief

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Bianca Maria Colosimo, Editor in Chief of Journal of Quality Technology

Bianca Maria talks to us about the kind of research the journal publishes and what the journal is looking to achieve, as well as recommendations for memorable research published in the journal.

 

Aims & Scope

What is Journal of Quality Technology about?

It is about new solutions, methods and tools for quality data modeling, monitoring control and optimization. The key idea is to solve real problems arising in many different fields where quality is an issue. I have to emphasize that quality has an impact on sustainability/circular economy, as it translates in reducing waste (of materials, costs, energy, resources in general).

 

What is the journal looking to achieve?

The big data scenario is creating an abundance of information worldwide, in many different industrial fields.  This is why we hope to expand the journal impact, providing novel solutions to many practical problems. Nowadays, the techniques we are studying can face major challenges in many fields where data mining is needed to improve the performances. Many approaches we are studying fall in the broad area of Artificial Intelligence (which includes regression, clustering, etc.), but we are trying to open the AI “black-boxes” to better understand how techniques can be generalized to be applied in different contexts. We are also facing data monitoring and digital manufacturing, in the industry 4.0 scenario. All relevant trends.

 

What subject areas are you most excited to cover in the journal?

We are facing many new challenges, dealing with multi-stream, complex and big data (signal, images, video-images) where data fusion (combining information provided by many different sources) is also an issue. All these challenges need appropriate solutions to avoid waste and defects at the end, i.e., solving quality problems.

 

What are the most memorable pieces of research you’ve published in the last few years?

I think that the three special issues on Reliability and Maintenance Modeling with Big Data, Statistical Process Control for Big Data Streams and Quality Engineering for Advanced Manufacturing show that we are looking for new problems and new solutions.

Also review papers are always of interest, especially when they are able to show new directions for future research. Just some examples:

Some current directions in the theory and application of statistical process monitoring  
William H. Woodall & Douglas C. Montgomery
Volume 46, 2014 - Issue 1

An overview of Phase I analysis for process improvement and monitoring 
L. Allison Jones-FarmerWilliam H. WoodallStefan H. Steiner & Charles W. Champ
Volume 46, 2014 - Issue 3

A review and perspective on control charting with image data       
Fadel M. MegahedWilliam H. Woodall & Jaime A. Camelio
Volume 43, 2011 - Issue 2

 

How do you see open access publication shaping quality management research?

Open-access papers tend to have more citations. This is particularly attractive for academic careers, where the bibliometric indexes (i.e., number of citations, h-index) are becoming more and more important. Authors could possibly prefer this route because of the fast reviewing process and the higher visibility of their research results.

 

What is the benefit of publishing in Journal of Quality Technology rather than in another related journal? In other words, what makes Journal of Quality Technology special?

Its reputation. In the communities of industrial statisticians and industrial engineers, JQT is a flagship journal, and so we are really looking to connect with those authors and readers in the coming years. Practitioners bring real problems that need solutions. As Editor-in-Chief, I’ve been pushing code and data sharing. This is going to possibly attract industrial readers again.

 

What support can you give authors and researchers who are hoping to publish in your journal?

I think an accurate and constructive review process is the way to go. We have been also presenting the journal vision and scope in all the annual conferences where people (especially young Faculty) have to be attracted.

 

What advice would you give to an early career researcher about how to get a head start in their career/how to get published?

First of all, I suggest to read the journal, in order to better understand what we are looking for. Then, start with a clear, real and interesting research question and then try to provide a new solution.

Open-access papers can be a proper way to let people see what the journal is for.

 

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