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Journal Photo for International Journal of Production Research
Peer reviewed only Open Access

International Journal of Production Research (IJPR)

Publisher : TAYLOR & FRANCIS LTD
Decision Sciences Management Science Operations Research
Claim Your Journal Get PRC Visit Website
e-ISSN 1366-588X
p-ISSN 0020-7543
Issue Frequency Bi-Monthly
Est. Year 1961
Mobile 4402080520500
Country United Kingdom
Language English, Multi-Language
APC YES
Impact Factor Assignee Google Scholar
Email enquiries@taylorandfrancis.com

Journal Descriptions

Established in 1961, the International Journal of Production Research (IJPR) is a leading journal in the areas of manufacturing, industrial engineering, operations research and management science. The International Journal of Production Research aims to disseminate research on decision aid in manufacturing, operations management and logistics. The International Journal of Production Research publishes convincing scientific results with clear, real-life applications as well as fundamental techniques developed in computer, decision and mathematical sciences to solve complex decision problems that arise in design, measurement, management and control of production and logistics systems.

International Journal of Production Research (IJPR) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Decision Sciences, Management Science, Operations Research, Manufacturing Engineering , Online or Print , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0020-7543, E-ISSN: 1366-588X, Established: 1961,
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus

  • Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of IJPR

Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty
Marzieh Khakifirooz October, 2022
This study configures various carbon regulation mechanisms to control carbon emissions following clean technology strategies in engine oil production. Considering clean technology strategies...
Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI
Marzieh Khakifirooz November, 2024
This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework designed to revolutionise service-oriented scheduling (In the context of this paper, ‘service-orien...
Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis
Marzieh Khakifirooz June, 2024
Supply chain (SC) resiliency and risk management have garnered increasing attention recently. While several studies have explored the use of scale-free network models to design and optimise ...
Scheduling in Industrial environment toward future: insights from Jean-Marie Proth
Marzieh Khakifirooz August, 2023
According to [Dolgui, Alexandre, and Jean Marie Proth. 2010. Supply Chain Engineering: Useful Methods and Techniques. Vol. 539. Springer.], advancing tactical levels in production systems ha...
Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty
Marzieh Khakifirooz October, 2022
This study configures various carbon regulation mechanisms to control carbon emissions following clean technology strategies in engine oil production. Considering clean technology strategies...
Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI
Marzieh Khakifirooz November, 2024
This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework designed to revolutionise service-oriented scheduling (In the context of this paper, ‘service-orien...
Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis
Marzieh Khakifirooz June, 2024
Supply chain (SC) resiliency and risk management have garnered increasing attention recently. While several studies have explored the use of scale-free network models to design and optimise ...
Scheduling in Industrial environment toward future: insights from Jean-Marie Proth
Marzieh Khakifirooz August, 2023
According to [Dolgui, Alexandre, and Jean Marie Proth. 2010. Supply Chain Engineering: Useful Methods and Techniques. Vol. 539. Springer.], advancing tactical levels in production systems ha...
A multi-objective model for risk mitigating in supply chain design
Mahdi Fathi June, 2019
The goal of this study is to recognise various factors for responsive SCs that affect supply risk and model their impact on SC design and operation. We propose a conceptual model for SC resp...
An integrated operations-marketing perspective for making decisions about order penetration point in multi-product supply chain: a queuing approach
Mahdi Fathi June, 2013
This study is dedicated to strategic decision-making regarding order penetration point (OPP), which is the boundary between make-to-order (MTO) and make-to-stock (MTS) policies. This paper c...