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International Journal of Production Research (IJPR)

Publisher :

TAYLOR & FRANCIS LTD

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Decision Sciences
  • Management Science
  • Operations Research

    • +1

e-ISSN :

1366-588X

Issue Frequency :

Bi-Monthly

p-ISSN :

0020-7543

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 - 0020-7543, E-ISSN - 1366-588X, Established in - 1961, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

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Publications of IJPR

Research Article
  • dott image October, 2022

Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty

This study configures various carbon regulation mechanisms to control carbon emissions following clean technology strategies in engine oil production. Considering clean technology strategies...

Research Article
  • dott image November, 2024

Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI

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...

Research Article
  • dott image June, 2024

Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis

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 ...

Research Article
  • dott image August, 2023

Scheduling in Industrial environment toward future: insights from Jean-Marie Proth

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...

Research Article
  • dott image October, 2022

Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty

This study configures various carbon regulation mechanisms to control carbon emissions following clean technology strategies in engine oil production. Considering clean technology strategies...

Research Article
  • dott image November, 2024

Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI

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...

Research Article
  • dott image June, 2024

Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis

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 ...

Research Article
  • dott image August, 2023

Scheduling in Industrial environment toward future: insights from Jean-Marie Proth

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...

Research Article
  • dott image June, 2019

A multi-objective model for risk mitigating in supply chain design

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...

Research Article
  • dott image June, 2013

An integrated operations-marketing perspective for making decisions about order penetration point in multi-product supply chain: a queuing approach

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...

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