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Journal Photo for Journal of Industrial and Management Optimization
Peer reviewed only Open Access

Journal of Industrial and Management Optimization (JIMO)

Publisher : American Institute of Mathematical Sciences (AIMS)
OPERATIONS RESEARCH MANAGEMENT MATHEMATICS
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e-ISSN 1553-166X
p-ISSN 1547-5816
Issue Frequency Bi-Monthly
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 P-ISSN: 1547-5816, E-ISSN: 1553-166X, Established: 2005,
  • Provides Crossref DOI

  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of JIMO

Sales or rentals? price and service decisions for electric vehicle manufacturers
Panos M. Pardalos March, 2024
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...
Deep learning-based recommendation method for top-K tasks in software crowdsourcing systems
Panos M. Pardalos September, 2023
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...
Identifying and determining crowdsourcing service strategies: An empirical study on a crowdsourcing platform in China
Panos M. Pardalos May, 2022
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...