Ajou University repository

Applied Mathematical Modelling
ISSN
  • E1872-8480
  • P0307-904X
Publisher

Elsevier BV

Listed on
(Coverage)

JCR1997-2023

SJR1999-2020;2022-2023

CiteScore2011-2023

SCIE2010-2024

CC2016-2024

SCOPUS2017-2024

Active
Active

based on the information

  • SCOPUS:2024-10
Country
USA
Aime & Scopes
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
Article List

Showing results 1 to 1 of 1

Accelerated dynamic programming algorithms for a car resequencing problem in automotive paint shopsoa mark
  • 2018-12-01
  • Applied Mathematical Modelling, Vol.64, pp.285-297
  • Elsevier Inc.
1