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Journal of Industrial and Management Optimization (JIMO)

Publisher :

American Institute of Mathematical Sciences (AIMS)

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Peer reviewed only
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Open Access
  • OPERATIONS RESEARCH
  • MANAGEMENT
  • MATHEMATICS

    • +3

e-ISSN :

1553-166X

Issue Frequency :

Bi-Monthly

p-ISSN :

1547-5816

Est. Year :

2005

Mobile :

16263958522

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

K.L.Teo@curtin.edu.au

Journal Descriptions

Journal of Industrial & Management Optimization (JIMO) is an international journal devoted to publishing peer-reviewed, high quality, original papers on the non-trivial interplay between numerical optimization methods and practically significant problems in industry or management so as to achieve superior design, planning and/or operation. Its objective is to promote collaboration between optimization specialists, industrial practitioners and management scientists so that important practical industrial and management problems can be addressed by the use of appropriate, recent advanced optimization techniques. It is particularly hoped that the study of these practical problems will lead to the discovery of new ideas and the development of novel methodologies in optimization.


Journal of Industrial and Management Optimization (JIMO) is :

International, Peer-Reviewed, Open Access, Refereed, OPERATIONS RESEARCH, MANAGEMENT, MATHEMATICS, Business, Accounting, International Management , Online or Print, Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1547-5816, E-ISSN - 1553-166X, Established in - 2005, Impact Factor

Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

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Google Scholar
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Scopus
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WoS

+7 More

Publications of JIMO

  • dott image March, 2024

Sales or rentals? price and service decisions for electric vehicle manufacturers

Innovative business models are emerging to promote the popularization of electric vehicles. This study investigates a firm's service innovation strategy and the choice between sales and rent...

  • dott image September, 2023

Deep learning-based recommendation method for top-K tasks in software crowdsourcing systems

The task personalized recommendation problems in software crowdsourcing systems have unique characteristics, i.e., large task flow, high task complexity, long development cycle, winning task...

  • dott image May, 2022

Identifying and determining crowdsourcing service strategies: An empirical study on a crowdsourcing platform in China

The crowdsourcing platforms, as mediators and service providers, play a critical role in crowdsourcing initiatives. The service quality of a platform has a direct impact on solver satisfacti...

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