Announcements

Special Issue on BJO&PM

2023-05-05

Call for Papers for a special Issue on: " New developments on Statistical Process Monitoring and Control "

Guest Editors:

  • Subhabrata Chakraborti (Chair of the editorial board of the special issue), University of Alabama, USA 
  • Felipe S. Jardim, Universidade Federal Fluminense, Brazil  
  • Nirpeksh Kumar, Banaras Hindu University, India
  • Martin Guillermo Cornejo Sarmiento, Universidad de Lima, Peru
  • Marcela Aparecida Guerreiro Machado, Universidade Estadual Paulista, Brazil 

Statistical monitoring of the quality of products and services have always been of fundamental importance for companies to remain healthy in an increasingly competitive market. The research and applications in the area of statistical process monitoring and control (SPMC) is undergoing several changes that accompany significant technological innovations in real applications, such as artificial intelligence, 3D Printers, the Internet of Things, Big data and Machine-to-Machine Communication. For example, these new technologies allow for faster and more reliable collection of data that can be utilized to improve the efficacy of quality control and monitoring methods, such as control charts.

In this new scenario, there is an increase in interest and demand both by academics and practitioners in the field of statistical process monitoring and control and researchers have been studying new strategies to enhance the efficiency of several control charts, such as charts by variables or attributes, with known and unknown parameters, for monitoring the mean and the variability of univariate or multivariate processes, with or without correlation.

The aim of this special issue is to capture some of the new trends and studies in this field. The goal is to identify recent research and new subjects in the area, as well as future areas of interest.  Original methodological contributions along with applications and case studies are of interest.  The special issue is targeted towards Brazilian and international researchers who work on these topics, to build possible collaborations.

Subject 
Suitable topics related to Statistical Process Monitoring and Control include, but are not limited, to the following:

  • Nonparametric statistical process monitoring and control;
  • Statistical process control of multivariate processes;
  • Economic design of control charts;
  • Capability indices, Acceptance sampling, and Acceptance control charts;
  • Profile monitoring;
  • Effects of parameter estimation on control charts;
  • Control charts in healthcare applications;
  • Control charts for auto-correlated data;
  • Control charts for modern environments (such as Big Data) and non-standard applications;
  • Networking monitoring; 
  • Other topics not listed above.

Important Dates

  • Manuscript Submission Deadline: June 2024
  • Notification of First Decision: September 2024
  • Revised Version Submission: October  2024

 

Guidance for Prospective Authors can be checked in https://bjopm.org.br/bjopm/about/submissions.

 

Read more about Special Issue on BJO&PM

Current Issue

Vol. 21 No. 2 (2024)
Published: 2024-04-05

Research paper

  • Technology transfer model oriented to industry 4.0 proposal and application in the food industry

    Vander Luiz Da Silva, João Luiz Kovaleski, Regina Negri Pagani, Myller Augusto Santos Gomes
    1777
    DOI: https://doi.org/10.14488/BJOPM.1777.2024
  • Quantifying the influence of supplier relationship management and supply chain performance an investigation of Bangladesh’s manufacturing and service sectors

    Md Mehedi Hasan Emon, Tahsina Khan, Saleh Ahmed Jalal Siam
    2015
    DOI: https://doi.org/10.14488/BJOPM.2015.2024
  • Just go green the effect of green innovation on competitive advantage with the moderating role of ‘access to finance’

    Saqib Ali, Mohammed Degan, Abdullah Omar, Aram Jawhar Mohammad
    1815
    DOI: https://doi.org/10.14488/BJOPM.1815.2024
  • Determinants of quality in airline service the user's view of a developing country

    Djalma Silva Guimaraes Junior, Fagner José Coutinho de Melo, Carlos Henrique Michels de Sant’anna, Larissa de Arruda Xavier, Denise Dumke de Medeiros
    1678
    DOI: https://doi.org/10.14488/BJOPM.1678.2024
  • Managing Materials Vendor Risks for Improved Project Operational Performance The Role of Risk-Oriented Culture

    Nsikan John, Peter Nwaguru, Mercy G.D Okon, Uduak Tommy, Mba Bariate
    1957
    DOI: https://doi.org/10.14488/BJOPM.1957.2024
  • Ship-from-store omnichannel using a 4pl digital platform

    Nicollas Luiz Schweitzer de Souza Schweitzer, Marcos Tadeu Arante, Ícaro Romolo Sousa Agostino, Lynceo Falavigna Braghirolli, Marina Meireles Pereira Mafia, Enzo Morosini Frazzon
    1856
    DOI: https://doi.org/10.14488/BJOPM.1856.2024

Case study

  • Analysis of project management principles with the Scrum framework in systems development a case study in a public organization

    Jefferson de Souza Pinto, Reginaldo da Silva Leme
    1878
    DOI: https://doi.org/10.14488/BJOPM.1878.2024
  • The application of real-time overall equipment efficiency indicator in a medium-sized company

    Yuri Medeiros Novochadlo, Edson Pacheco Paladini
    2042
    DOI: https://doi.org/10.14488/BJOPM.2042.2024
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Brazilian Journal of Operations and Production Management (ISSN (Online): 2237-8960) is a Journal of  ABEPRO - Brazilian Association of Production Engineering. BJO&PM mission is to provide  an internationally respected stream for original and relevant research.

Altough BJO&PM is a multidisciplinary journal our mean focus is applied research in the following areas: Economic and Financial Management;Environmental Management; Ergonomics and Safety; Ethics and Corporate Social Responsibility; Information Technology; Operational Research; Organization and Strategy; Planning and Production Control; Project Management; Supply Chain Management and Logistics; Technology and Information Systems; Technology and Innovation.

The current editor-in-chief is the Prof. Dr. Julio Vieira Neto from Federal Fluminense University.