Forthcoming and Online First Articles

International Journal of Simulation and Process Modelling

International Journal of Simulation and Process Modelling (IJSPM)

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International Journal of Simulation and Process Modelling (4 papers in press)

Regular Issues

  • DrugApp: a simulation of drug suspects and offenders classification   Order a copy of this article
    by Donald D. Atsa'am, Terlumun Gbaden, Ruth Wario 
    Abstract: A prototype web application, named DrugApp, was developed in this study to simulate the classification of illicit drug suspects. The application logic implements an existing Artificial Neural Network (ANN) model that uses four attributes namely, type of exhibit, age of suspect, weight of exhibit, and gender of suspect, to predict the class of a drug suspect as either a drug peddler or non-drug peddler. System design was carried out using Unified Modeling Language (UML) tools, and development of the system followed the object-oriented programming paradigm. The app consists of graphical user interfaces (GUIs) to facilitate suspect’s classification in an easy and efficient manner. DrugApp could be a valuable tool to aid the Police, Immigration, and other law enforcement agents at airports, seaports, and land borders for classifying drug-related suspects while in transit.
    Keywords: DrugApp; drug suspects classification; drug peddler; non-drug peddler; security agents.
    DOI: 10.1504/IJSPM.2024.10066647
     
  • Dynamic rolling optimisation model and VNTSA algorithm for timely delivery servicesServices   Order a copy of this article
    by Siqi Zhang, Wei Jia 
    Abstract: This paper tackles the challenges of order allocation and intelligent scheduling in online-to-offline fresh food instant delivery services, focusing on timely delivery and enhancing consumer experience in dynamic environments. We develop a dynamic time-domain rolling optimisation model to maximise customer satisfaction while minimising business costs. The model incorporates a novel variable neighbourhood tabu simulated annealing (VNTSA) algorithm, which combines variable neighbourhood search and a tabu list to enhance the simulated annealing (SA) algorithm. Our approach addresses dynamic order insertion, allocation, and scheduling effectively. Case analyses demonstrate that the proposed model and VNTSA algorithm excel in handling dynamic environments, outperforming traditional SA and the widely used the non-dominated sorting genetic algorithm II in solving efficiency and customer satisfaction. This leads to significant cost reductions and improvements in delivery times, underscoring the practical value of our contributions.
    Keywords: dynamic optimisation; rolling optimisation model; improved SA algorithm; timely delivery; online-to-offline; O2O.
    DOI: 10.1504/IJSPM.2024.10066945
     
  • A simulation model to improve the production process for furniture companies: a case study in Vietnam   Order a copy of this article
    by Van Can Nguyen, Thi Thuy Duong Huynh, Truong Thi Nguyen, Luu Hong Anh Hoang, Minh Tan Ha 
    Abstract: In today's production environment, it is essential to eliminate bottlenecks and reduce waiting time, which allows companies to improve efficiency, especially for wooden furniture companies. The wooden furniture production process is complex, involving multiple stages and uncertainties in processing times. In order to make products such as chairs, they require different multiple part types to complete the product assembly. In this paper, a simulation model is developed using arena simulation software to identify appropriate resources for the process, taking into account different part types, process sequences, queues, and transportation operations. This model is then applied to a real case study in a furniture company in Binh Duong City, Vietnam. The results show that the proposed simulation model is a valuable tool for production managers seeking to enhance process efficiency and productivity. It can be easily implemented in real-world situations.
    Keywords: simulation; assembly line; arena software; furniture manufacturing; Vietnam.
    DOI: 10.1504/IJSPM.2024.10067909
     
  • A quantified hypervulnerability approach for assessing resilience in supply chain networks   Order a copy of this article
    by Katherine Smith, Rafael Diaz, Yuzhong Shen 
    Abstract: The COVID-19 pandemic highlighted the vulnerability of supply chain networks to sources of concurrent disruption. This research investigates and broadens a quantified, generalized definition of vulnerability, which enables a group of entities to be identified as highly, or hyper, vulnerable. This concept of hypervulnerability thresholds is demonstrated on a conceptual example. The example explains and shows how the definition of hypervulnerability thresholds can be applied. A maritime supply chain case study with various risks and disruptions is presented and analyzed to demonstrate the practical utility of the approach and provide valuable information to guide decision making in other applications. Finally, the article concludes with answers to research questions and directions for future work.
    Keywords: supply chain; vulnerability; resilience; systems theory; disruption; risk.
    DOI: 10.1504/IJSPM.2024.10067910
     

 

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