About this journal

Aims and scope

Production Planning & Control is an international journal that brings together research papers on the management of operations in all industries. The journal focuses on research that stems from an industrial need and can guide the activities of managers and future researchers. With the aim of developing the research community in operations management, pictures and bios of authors together with their contact details are provided with each paper. Where possible, reviewers provide guidance for the improvement of papers including those being rejected. 

Production Planning & Control welcomes papers that describe research based on the emerging needs of industry, making clear the nature of the industrial problem. Any appropriate research methods may be used and each paper should justify the method applied. Case studies are welcome where they illustrate research needs or application problems that have significance at the international level. Writers should relate their work to the existing knowledge in the field, especially with regard to the implications of the work for management practice and setting the agenda for future research.

Papers based on surveys tend to be broad and descriptive and often fail to develop useful new knowledge that can guide the activities of managers.

Production Planning & Control is not the appropriate journal for theoretical papers in operations research, OR/MS, optimisation or simulation based on invented scenarios or other numerical experiments or examples that are only tested in the laboratory, even when the test data comes from a company.

To be published in Production Planning & Control, a paper will have been reviewed and accepted by at least two competent experts in the field. Reviewers are drawn from the Editorial Board and a list of occasional reviewers who have been nominated for their expertise. Reviewers’ comments are based on relevance to the field, particularly applicability in industry, besides originality and scientific rigour.

Production Planning & Control is subscribed to by a wealth of universities and industry libraries and readership includes researchers in the field of operations management, supply chain management, and business improvement, consultants dealing with manufacturing and service industries, operations managers, business improvement specialists, and other managers in industry.

Journal metrics

Usage

  • 592K annual downloads/views

Citation metrics

  • 6.1 (2023) Impact Factor
  • Q1 Impact Factor Best Quartile
  • 8.0 (2023) 5 year IF
  • 19.3 (2023) CiteScore (Scopus)
  • Q1 CiteScore Best Quartile
  • 2.207 (2023) SNIP
  • 2.020 (2023) SJR

Speed/acceptance

  • 4 days avg. from submission to first decision
  • 111 days avg. from submission to first post-review decision
  • 12 days avg. from acceptance to online publication
  • 12% acceptance rate

Editorial board

Editor:
Bjørn Andersen, Department of Mechanical and Industrial Engineering, Norwegian University of Science & Technology, Norway

Co-Editor:
Stephen J. Childe, Plymouth Business School, Plymouth University, UK

Book Reviews Editor:
Irene Roda, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Italy

Associate Editors:
Yang Cheng, Department of Materials and Production, Aalborg University, Denmark
Paolo Gaiardelli, Department of Management, Information and Production Engineering, University of Bergamo, Italy
Gordian Udechukwu Ojiako, University of Strathclyde, UK
Laura Purvis, Cardiff Business School, Cardiff University, UK
Dara Schniederjans, University of Rhode Island, USA

Founding Editor:
Asbjørn Rolstadås, Norway

International Editorial Board:
E. O. P. Akpan, Akwa Ibom State University, Nigeria
Imran Ali, Central Queensland University, Australia
David Barnes, University of Westminster, UK
Umit S Bititci, Edinburgh Business School, Heriot Watt University, UK
Michael Bourlakis, Cranfield University, UK
Ross Chapman, CQUniversity, Sydney, Australia
Andrea Chiarini, University of Verona, Italy
Roberto Cigolini, Politecnico di Milano, Italy
Shad Dowlatshahi, University of Missouri, USA
Rameshwar Dubey, Liverpool John Moores University, UK
Paul Folan, University of Chester, UK
Rosanna Fornasiero, Consiglio Nazionale delle Ricerche (CNR), Italy
Jan Frick, University of Stavanger, Norway
Patrizia Garengo, University of Padua, Italy
Richard Greatbanks, University of Otago, New Zealand
Angappa Gunasekaran, California State University, USA
Jorge Hernández, Universidad Adolfo Ibañez, Chile
Hans-Henrik Hvolby, Aalborg University, Denmark
R. Anthony Inman, Louisiana Tech University, USA
Vipul Jain, Victoria University of Wellington, New Zealand
Toshiya Kaihara, Kobe University, Japan
Lenka Landryova, VSB- Technical University Ostrava, Czech Republic
Anita Lee-Post, University of Kentucky, USA
Marco Macchi, Politecnico di Milano, Italy
Ian McCarthy, Simon Fraser University, Canada
Gopalakrishnan Mohan, Arizona State University, USA
R. P. Mohanty, SOA University, India
Sai Nudurupati, Gandhi Institute of Technology and Management, India
Jan Olhager, Lund University, Sweden
Godfrey C. Onwubolu, Sheridan Institute of Technology & Applied Learning, Canada
Thanos Papadopoulos, University of Kent, UK
Kit Fai Pun, The University of the West Indies, West Indies
Shams Rahman, RMIT University, Australia
Asbjørn Rolstadås, Norwegian University of Science and Technology, Norway
Paul Schönsleben, Swiss Federal Institute of Technology, Switzerland
Dinesh Seth, Qatar University, Qatar
Milind Kumar Sharma, M.B.M. University, India
Ebrahim Shayan, Ritsumeikan Asia Pacific University, Japan
Riitta Smeds, Helsinki University of Technology, Finland
Amrik Sohal, Monash University, Australia
Kenn. Steger-Jensen, Aalborg University, Denmark
Marco Taisch, Politecnico di Milano, Italy
Ilias Tatsiopoulos, National Technical University of Athens, Greece
Klaus-Dieter Thoben, Bremen University, Germany
Manoj K. Tiwari, Indian institute of Management Mumbai, India
Flavio Tonelli, University of Genoa, Italy

Abstracting and indexing

Production Planning & Control is abstracted and indexed in: British Library Inside; Cabell’ Management Directory; Cambridge Scientific Abstracts; EBSCO Databases; Electronic Collections Online; Engineering Information Inc; INSPEC®; International Abstracts in Operations Research; ISI CompuMath Citation Index®; ISI Current Contents® - Engineering, Computing & Technology; ISI Science Citation Index®; New Jour; OCLC ArticleFirst; Recent Advances in Manufacturing Database (RAM); Scopus™ and Zetoc.

Open access

Production Planning & Control is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.

Why choose open access?

  1. Increase the discoverability and readership of your article
  2. Make an impact and reach new readers, not just those with easy access to a research library
  3. Freely share your work with anyone, anywhere
  4. Comply with funding mandates and meet the requirements of your institution, employer or funder
  5. Rigorous peer review for every open access article

Article Publishing Charges (APC)

If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.

Use our APC finder to calculate your article publishing charge

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