Forthcoming Articles

International Journal of Simulation and Process Modelling

International Journal of Simulation and Process Modelling (IJSPM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Simulation and Process Modelling (3 papers in press)

Regular Issues

  • Design of ventilation preheating system for pig nursery based on ANFIS   Order a copy of this article
    by Zhidong Wu, Kaixiang Xu, Yanwei Chen, Meiqi Liu, Yonglan Liu 
    Abstract: Aiming at the problem that the low temperature of the air supply in the pig nursery in cold areas during winter, the ventilation preheating system and control strategy are designed. The proposed system combines in house heating, a heat exchanger with a ventilation heater. The adaptive neuro fuzzy inference system (ANFIS) is established by learning sample data, and the ventilated heater controller is designed. The results of simulations and field tests show that the proposed system based on the ANFIS algorithm can efficiently raise the temperature of the air supply to 20
    Keywords: ventilation preheating; computational fluid dynamics; adaptive neuro fuzzy inference system; cold region.
    DOI: 10.1504/IJSPM.2025.10071181
     
  • Higher coordination system for a scheduling and control integrated layer management in process industry   Order a copy of this article
    by Eugênio Costa, Mauricio Figueiredo 
    Abstract: A higher coordination system is designed to manage the scheduling and control integrated layer architecture in process industries. Among its most important features are: (1) it may be used considering any combination of usual strategies adopted for scheduling and process control; (2) it is flexible and scalable; (3) it makes the scheduling and process control tasks synergistically integrated; and (4) it is able to deal with plant disturbances and also with changes in input scenarios. A non-linear chemical process is considered for analysis and comparison purposes according to several experiments. The system is able to identify, if any, a new schedule that minimizes the loss the perturbation may cause and able to replace the schedule generated initially. Simulation results show that the system manages the layer integration leading to a better performance than the case in which the layers operate in a segregated way.
    Keywords: process industry; process control; scheduling and control layer integration; enterprise integration.
    DOI: 10.1504/IJSPM.2025.10072780
     
  • Modelling the impact of pneumonia influenced by air pollution and climate change: a numerical approach in South Sulawesi   Order a copy of this article
    by Suwardi Annas, Syafruddin Side, Muhammad Ansarullah S. Tabbu, Ahmadin Ahmadin, Andi Muh. Ridho Yusuf SAP 
    Abstract: Pneumonia remains a pressing health issue in Indonesia, particularly in South Sulawesi Province, influenced by environmental factors like air pollution and climate change. This study introduces the SEILRQ-D model, a novel framework incorporating key variables such as climatic conditions, pollution levels, and social dynamics, to analyze and simulate pneumonia control strategies. The model emphasizes the integration of local wisdom in shaping effective interventions. The research explores equilibrium points, stability analysis, and the basic reproduction number (R_0 ), demonstrating the potential for controlling pneumonia outbreaks. Simulations using advanced numerical methods highlight the model's applicability to diverse scenarios beyond the specific case of South Sulawesi. Findings indicate that community-based strategies significantly enhance disease management efforts, offering a blueprint for broader applications in similar environmental and epidemiological contexts. This work advances the modeling and simulation of infectious diseases, providing actionable insights for global public health planning
    Keywords: pneumonia; homotopy perturbation 8th order; climate change; simulation; optimisation.
    DOI: 10.1504/IJSPM.2025.10073122
     

 

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