Quality Technology and Quantitative Management

Scope & Guideline

Fostering knowledge exchange in the realms of management and technology.

Introduction

Immerse yourself in the scholarly insights of Quality Technology and Quantitative Management with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1684-3703
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2011 to 2024
AbbreviationQUAL TECHNOL QUANT M / Qual. Technol. Quant. Manag.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal "Quality Technology and Quantitative Management" primarily focuses on advancing methodologies and frameworks for quality control, reliability assessment, and quantitative management within various industrial contexts. Its core areas are characterized by the application of statistical methods, stochastic modeling, and innovative optimization techniques to improve quality and operational efficiency.
  1. Statistical Process Control and Monitoring:
    The journal emphasizes research on control charts, monitoring techniques, and methodologies such as EWMA and CUSUM for ensuring product quality and process stability.
  2. Reliability Engineering and Assessment:
    A significant portion of the research is dedicated to reliability modeling, including studies on life-testing, failure rates, and the reliability of complex systems under various conditions.
  3. Queueing Theory and Systems Analysis:
    The journal publishes articles that analyze queueing systems, focusing on performance metrics, customer behavior, and optimization of service processes.
  4. Optimization in Quality Management:
    Research on optimization techniques for quality improvement, production efficiency, and maintenance policies is a key focus area, often employing mathematical models and simulations.
  5. High-Dimensional Data Analysis:
    The journal explores methodologies for handling and analyzing high-dimensional data, particularly in quality monitoring and process control contexts.
  6. Quantitative Risk Management:
    There is a growing interest in quantitative approaches to assess and mitigate risks in manufacturing and service operations, integrating statistical methods with decision-making frameworks.
The journal has witnessed an increase in interest in several emerging themes, reflecting the evolving landscape of quality technology and quantitative management. These themes are indicative of current trends and future research directions.
  1. Bayesian Approaches to Quality and Reliability:
    Research employing Bayesian methods for quality control and reliability assessment is gaining traction, allowing for more flexible modeling and incorporation of prior knowledge into analyses.
  2. Machine Learning and Data-Driven Approaches:
    There is a notable increase in studies incorporating machine learning techniques for predictive modeling and process optimization, highlighting the integration of advanced data analytics in quality management.
  3. Sustainability and Quality Improvement:
    Emerging research focuses on the intersection of sustainability and quality management, exploring how quality improvement initiatives can support sustainable practices in manufacturing and service operations.
  4. Integrated Maintenance and Quality Strategies:
    The trend is shifting towards integrated approaches that combine maintenance strategies with quality control processes, aiming for holistic improvements in operational efficiency.
  5. Complex Systems and Network Reliability:
    Research on the reliability of complex systems, including multi-state and networked systems, is becoming increasingly prominent, reflecting the need to address the intricacies of modern manufacturing and service environments.

Declining or Waning

In recent years, certain themes within the journal have seen a decline in publication frequency, possibly indicating a shift in research focus or saturation of specific methodologies. The following areas appear to be waning:
  1. Traditional Quality Control Techniques:
    While still relevant, there has been a noticeable decrease in the publication of papers focusing solely on traditional Shewhart control charts and basic statistical quality control methods, as researchers increasingly explore more advanced and integrated approaches.
  2. Single-Parameter Reliability Models:
    Research focusing on basic single-parameter reliability models has diminished, as there is a growing emphasis on more complex, multi-component, and dynamic reliability systems that better reflect real-world scenarios.
  3. Static Queueing Models:
    The popularity of static queueing models has declined in favor of more dynamic and adaptive queueing systems, which account for real-time variations in customer behavior and service processes.
  4. Basic Statistical Inference Techniques:
    There is a shift away from classical statistical inference techniques towards more innovative approaches that incorporate Bayesian methods, machine learning, and computational statistics.

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